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I am currently working on optimizing our inventory management system and need to calculate the monthly safety stock for various SKUs. I have already generated weekly safety stock values based on historical data and lead times. However, I need to adjust these values for a monthly period considering several factors:
1. SKU Contribution Ratio: This ratio indicates the importance of each SKU. A higher ratio means the SKU is more critical and should have a higher safety stock.
2. CCF Factor: This factor reflects our past ability to fulfill orders based on historical order and invoice data.
3. Monthly Stock Reduction Percentage: This percentage shows how much stock is typically left at the end of each month. If this value is 100% for four consecutive months, it indicates no need to keep that much inventory for the respective SKU. Conversely, if the values are decreasing, it suggests that the safety stock has been used and needs to be adjusted.
Given these factors, I need to determine a safety factor for the month, which will be used to adjust the weekly safety stock values to monthly values.
Could you suggest scientific methodologies or models that can effectively integrate these factors to calculate the monthly safety stock?
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To calculate Monthly Safety Stock while considering SKU Contribution Ratios, CCF (Cumulative Contribution Factor) Factors, and Monthly Stock Reduction Percentages, you need to account for several important parameters. Here's a structured approach to calculate it:
Key Terms:
  1. SKU Contribution Ratio: This is the proportion of each SKU’s sales or inventory value relative to the total portfolio.
  2. CCF (Cumulative Contribution Factor): This represents the cumulative contribution factor, which is typically used in demand forecasting. It adjusts safety stock calculations to take into account the SKU’s historical demand or forecast variability.
  3. Monthly Stock Reduction Percentage: This represents the rate at which stock is reduced each month due to factors like sales, shrinkage, or redistribution.
Formula:
The Safety Stock can be calculated using the following steps:
1. Calculate Base Safety Stock per SKU:
The base safety stock is usually derived from factors such as forecasted demand variability, lead time, and desired service level.
The basic formula for safety stock is:
Safety Stock=Z×σd×L\text{Safety Stock} = Z \times \sigma_d \times \sqrt{L}Safety Stock=Z×σd​×L​
Where:
  • ZZZ = Z-score corresponding to the desired service level (e.g., 1.96 for 95% service level).
  • σd\sigma_dσd​ = Standard deviation of demand (you can use historical demand data for this).
  • LLL = Lead time in months.
2. Adjust for SKU Contribution Ratios:
The contribution ratio for each SKU allows you to scale the safety stock calculation according to the relative importance or volume contribution of each SKU.
For a given SKU iii:
Adjusted Safety Stock for SKU i=Base Safety Stock×SKU Contribution Ratioi\text{Adjusted Safety Stock for SKU } i = \text{Base Safety Stock} \times \text{SKU Contribution Ratio}_iAdjusted Safety Stock for SKU i=Base Safety Stock×SKU Contribution Ratioi​
3. Incorporate CCF Factors:
The CCF factor adjusts safety stock based on a cumulative contribution, such as demand patterns or priority in the supply chain. If you have a list of CCF values for each SKU, you multiply the adjusted safety stock by the appropriate CCF factor.
For SKU iii, with CCF factor CCFiCCF_iCCFi​:
Final Safety Stock for SKU i=Adjusted Safety Stock for SKU i×CCFi\text{Final Safety Stock for SKU } i = \text{Adjusted Safety Stock for SKU } i \times \text{CCF}_iFinal Safety Stock for SKU i=Adjusted Safety Stock for SKU i×CCFi​
4. Account for Monthly Stock Reduction Percentage:
Since your stock is reduced monthly due to sales, stock turnover, or other factors, you need to factor in the monthly stock reduction percentage.
Let’s assume you have a reduction percentage RiR_iRi​ for SKU iii (expressed as a percentage, e.g., 10% = 0.1). The final safety stock after applying the reduction would be:
Final Adjusted Safety Stock for SKU i=Final Safety Stock for SKU i×(1−Ri)\text{Final Adjusted Safety Stock for SKU } i = \text{Final Safety Stock for SKU } i \times (1 - R_i)Final Adjusted Safety Stock for SKU i=Final Safety Stock for SKU i×(1−Ri​)
5. Summing Across SKUs:
To get the total monthly safety stock for the entire portfolio, you sum the final safety stock values for all SKUs:
Total Monthly Safety Stock=∑i=1nFinal Adjusted Safety Stock for SKU i\text{Total Monthly Safety Stock} = \sum_{i=1}^{n} \text{Final Adjusted Safety Stock for SKU } iTotal Monthly Safety Stock=i=1∑n​Final Adjusted Safety Stock for SKU i
Example Calculation:
Suppose you have three SKUs (A, B, and C) with the following data:
  • SKU A: Contribution Ratio = 0.4, CCF Factor = 1.2, Monthly Stock Reduction = 0.05 (5%)
  • SKU B: Contribution Ratio = 0.3, CCF Factor = 1.5, Monthly Stock Reduction = 0.08 (8%)
  • SKU C: Contribution Ratio = 0.3, CCF Factor = 1.0, Monthly Stock Reduction = 0.03 (3%)
Base safety stock (assuming it’s calculated as 100 units for each SKU, for simplicity) would be adjusted as follows:
  1. Adjusted Safety Stock for SKU A: Base Safety Stock for A=100×0.4=40\text{Base Safety Stock for A} = 100 \times 0.4 = 40Base Safety Stock for A=100×0.4=40
  2. Final Safety Stock for SKU A with CCF: Adjusted Safety Stock for A×CCFA=40×1.2=48\text{Adjusted Safety Stock for A} \times \text{CCF}_A = 40 \times 1.2 = 48Adjusted Safety Stock for A×CCFA​=40×1.2=48
  3. Final Adjusted Safety Stock for SKU A with reduction: 48×(1−0.05)=48×0.95=45.648 \times (1 - 0.05) = 48 \times 0.95 = 45.648×(1−0.05)=48×0.95=45.6
Similarly, calculate for SKU B and C.
Finally, sum the final adjusted safety stocks for all SKUs to get the Total Monthly Safety Stock.
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Digital platforms provide tools for payment processing, logistics management, and customer service, streamlining operations and reducing costs. How has these operations impacted on expansion of international trade.
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Farhan Nasim , thank you so much for adding value to my research. I really appreciate
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How does generative artificial intelligence technology combined with Big Data Analytics and other Industry 4.0 technologies help in planning and improving production logistics management processes in business entities, companies and enterprises?
Production logistics management in a manufacturing company is currently one of the key areas of business management that significantly affects the level of technical and organizational efficiency of business operations. The change in the level of technical and organizational efficiency of business operations also usually has a significant impact and correlates with the issue of business efficiency and affects the financial results generated in the business entity. Among the key segments of logistics in the enterprise are also internal production logistics, on the way of organization of which the efficiency of the operation of production processes and the efficiency of the enterprise also largely depends. In recent years, more and more companies and enterprises have been optimizing production logistics through the implementation of information systems and automation of individual operations in the process. Production logistics is mainly concerned with ensuring the optimal flow of materials and information in the process of producing all types of goods. Production logistics does not deal with the technology of production processes, but only with the organization of the production system together with the storage and transport environment. Production logistics is mainly concerned with the optimization of all operations related to the production process, such as: supplying the plant with raw materials, semi-finished products and components necessary for production; transporting items between successive stages of production; and transferring the finished product to disposal warehouses. Precisely defining optimal production logistics is a lengthy process, requiring analysis and modification of almost every process taking place in a company. One of the key factors in the optimization of production logistics is the reduction of inventory levels and their adjustment to the ongoing production process. This translates directly into a decrease in storage costs. Effective management of production logistics should ensure timely delivery, while maintaining high product quality. Effective production logistics management can be supported by the implementation of new Industry 4.0/5.0 technologies, including Big Data and generative artificial intelligence.
The key issues of opportunities and threats to the development of artificial intelligence technology are described in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How does the technology of generative artificial intelligence, combined with Big Data Analytics and other Industry 4.0 technologies, help to plan and improve production logistics management processes in business entities, companies and enterprises?
How does generative artificial intelligence technology help in planning and improving production logistics processes in an enterprise?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text, I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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Dariusz Prokopowicz Generative artificial intelligence (AI) technology, when combined with Big Data Analytics and other Industry 4.0 technologies, can significantly enhance planning and improve production logistics management processes in business entities, companies, and enterprises. Here's how these technologies work together to achieve these goals:
  1. Predictive Analytics and Forecasting: Generative AI algorithms can analyze large volumes of historical production and logistics data to identify patterns, trends, and correlations. By leveraging Big Data Analytics, these algorithms can generate accurate demand forecasts, production schedules, and inventory optimization strategies. This predictive capability helps businesses anticipate market demand, optimize resource allocation, and minimize stockouts or overstock situations.
  2. Optimized Supply Chain Management: Generative AI algorithms combined with Big Data Analytics can optimize supply chain processes by analyzing data from various sources such as suppliers, manufacturers, distributors, and customers. These algorithms can identify inefficiencies, bottlenecks, and risks in the supply chain, allowing businesses to streamline logistics operations, reduce costs, and improve delivery performance.
  3. Real-time Monitoring and Decision-making: Industry 4.0 technologies such as Internet of Things (IoT) sensors, RFID tags, and smart devices enable real-time monitoring of production and logistics processes. Generative AI algorithms can analyze streaming data from these devices to detect anomalies, predict equipment failures, and optimize route planning in real-time. This real-time visibility and decision-making capability empower businesses to respond quickly to changes in demand, supply, or market conditions.
  4. Dynamic Routing and Transportation Optimization: Generative AI algorithms can optimize transportation routes, vehicle scheduling, and load balancing based on real-time data and predictive analytics. By considering factors such as traffic conditions, weather forecasts, fuel efficiency, and delivery deadlines, these algorithms can generate optimal routing plans that minimize transportation costs and maximize resource utilization.
  5. Continuous Improvement and Adaptability: Generative AI technology combined with Big Data Analytics enables continuous improvement and adaptability in production logistics management processes. By analyzing performance metrics, customer feedback, and market trends, businesses can identify opportunities for optimization, innovation, and process refinement. These insights drive continuous improvement initiatives, allowing businesses to stay agile, competitive, and responsive to changing market dynamics.
  6. Risk Management and Resilience: Generative AI algorithms can assess supply chain risks and vulnerabilities by analyzing data from multiple sources, including geopolitical factors, natural disasters, supplier disruptions, and regulatory changes. By proactively identifying risks and implementing mitigation strategies, businesses can enhance supply chain resilience, minimize disruptions, and ensure business continuity.
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Our objective is to compare and analyze the service quality provided by the courier services. Our target respondents are 50 customers and 50 delivery riders. We tend to analyze the customer and delivery riders' expectations and perceptions towards the courier service to get insight into, how we do an action plan to improve the service quality provided by the couriers. Our SOP 1. demographic profile 2. 1. What is the difference between the quality of service of the selected courier in terms of the following:
1.1 Reliability;
1.2 Responsiveness;
1.3 Assurance;
1.4 Empathy;
1.5 Tangibility;
My problem here is, do we need to address the common demographic profile of customers and Delivery riders.
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Yes there could be two questionnaires , but when the data is being compared through hypothesis testing or any other way, the response criteria should be same, like if you are using 5 point likert scale in one questionnaire and you need to compare the response based on both the questionnaires, then 5 point likert scale should be used in both
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How do the new ICT information technologies and Industry 4.0 contribute to improving the efficiency of the functioning of business entities?
The functioning of which areas of economic activity of companies and enterprises is improved by the implementation of ICT information technologies and/or Industry 4.0?
The pandemic has accelerated the implementation of ICT information technology into business operations and the use of the Internet to promote and sell product and service offerings. The SARS-CoV-2 (Covid-19) coronavirus pandemic indirectly accelerated the development of ICT information technology applications in various aspects of business. During the pandemic, lockdowns were introduced on selected, mainly service sectors of the economy. As part of anti-pandemic security instruments, citizens infected with the coronavirus had to stay at home in quarantine for several to several days. As a result, quarantined consumers started ordering and buying products and services more via the Internet. On the other hand, companies under lockdown were able to conduct their business via the Internet. Consequently, many companies and businesses during the pandemic increased their use of the Internet for their business operations. Many businesses have increased the scale of sales of products and services offered to customers via the Internet. Many companies during the pandemic built or developed their online sales platforms. The scale of turnover carried out through the Internet in many companies and enterprises has even increased several times. As a result, the scale of e-commerce increased. The turnover of courier companies increased. E-logistics has developed. The use of ICT information technology and Industry 4.0 in various aspects of business has increased. When placing orders via the Internet and making purchases of products and services, citizens, including consumers and entrepreneurs, increasingly made payments for ordered products, services, semi-finished products, components, raw materials, etc. via the Internet. The development of online payments and settlements has resulted in the acceleration of the development of e-banking, especially online and mobile banking. In enterprises, computerized systems are being developed to support management processes, decision-making processes. The improvement of computerized enterprise management systems is currently being carried out by increasing the scale of use of Internet technologies and Industry 4.0. Examples are investments in computerized management and decision-making process support systems, in which so-called digital twins of economic, business processes and/or specific spheres of conducted production, service, trade, etc. are built. During the pandemic of the SARS-CoV-2 coronavirus (Covid-19), the scale of investment by companies and enterprises in the development of computerized decision-making systems, in which the aforementioned digital twins and other innovations of Industry 4.0 technology are used, increased significantly. The development of information processing technologies in the era of the current technological revolution termed Industry 4.0 is determined by the development and growth of applications of ICT information technologies, Internet technologies and advanced data processing. The technological revolution currently taking place, referred to as Industry 4. 0 is determined by the development and implementation into economic processes of the following technologies: analytical and database technologies Big Data Analytics, Data Science, cloud computing, machine learning, personal and industrial Internet of Things, artificial intelligence, Business Intelligence, autonomous robots, horizontal and vertical data system integration, multi-criteria simulation models, digital twins, additive manufacturing, Blockchain, smart technologies, cyber security instruments, Virtual and Augmented Reality, and other advanced data processing technologies Data Mining. Thanks to the application of new Industry 4.0 technologies, computerized multi-criteria simulation models known as digital twins are now being created in many companies, enterprises and financial institutions. Building digital twins of entire processes of production, service provision, procurement logistics, manufacturing and distribution in information systems, the company obtains an excellent tool to support the process of managing the organization. Also, business analytics combined with Big Data Analytics technology supports the management process of an enterprise, company, financial institution or other type of business entity. With these solutions, it is also possible to create simulation models of the future development of complex, multi-faceted economic, social, financial, pandemic, natural, climatic, etc. processes. With the help of Big Data Analytics, many companies are already carrying out market research based on the analysis of Internet users' sentiment regarding changes in trends in the evaluation of the quality of product and service offerings, company reputation, logos, corporate branding, etc. The applications of Big Data technology in this area, including computerized market research, analysis of Internet user sentiment, in supporting business management processes, I have described in my publications posted on my profile of this Research Gate portal.
In view of the above, I address the following questions to the esteemed community of scientists and researchers:
How do new ICT information technologies and Industry 4.0 contribute to improving the efficiency of business entities?
The functioning of which areas of economic activity of companies and enterprises is improved through the implementation of ICT information technologies and/or Industry 4.0?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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Nice topic, but it needs more depth, So Information, and communication technologies (ICT) and Industry 4.0 can improve the efficiency of business operations in several ways. These technologies can facilitate the automation of certain processes, such as data analysis and management, and can also enable real-time monitoring and control of business operations. They can also help businesses to improve their communication and collaboration with employees, partners, and customers.
The implementation of ICT and Industry 4.0 can improve the functioning of various areas of economic activity within a company or enterprise. For example, they can improve the efficiency of manufacturing processes, supply chain management, and customer service. They can also facilitate the development of new products and services and enhance the ability of businesses to gather and analyze data to inform decision-making.
The COVID-19 pandemic has accelerated the adoption of ICT and Industry 4.0 in many businesses, as companies have had to find ways to continue operating during lockdowns and other restrictions. This has led to an increase in the use of the internet for business operations, including the use of e-commerce, e-logistics, and online payments. The pandemic has also led to an increase in investment in computerized management and decision-making systems, including the use of digital twins and other Industry 4.0 technologies.
The implementation of information and communication technologies (ICT) and Industry 4.0 can improve the functioning of various areas of economic activity within a company or enterprise. Some examples of areas that may be impacted include:
  1. Manufacturing: ICT and Industry 4.0 technologies can improve the efficiency and effectiveness of manufacturing processes through the use of automation, real-time monitoring, and advanced data analysis.
  2. Supply chain management: These technologies can enable more efficient and responsive supply chain operations, including the tracking and management of inventory and the optimization of logistics.
  3. Customer service: ICT and Industry 4.0 can improve customer service through the use of chatbots, online self-service portals, and other digital tools that enable customers to access information and assistance more easily.
  4. Product development: These technologies can facilitate the development of new products and services, including through the use of advanced data analysis, machine learning, and other tools.
  5. Data analysis and decision-making: ICT and Industry 4.0 can enable businesses to gather, analyze, and make use of data more effectively to inform decision-making processes and strategy development.
  6. Communication and collaboration: These technologies can improve communication and collaboration within a company or enterprise, including through the use of video conferencing, messaging, and project management tools.
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As research on systems for drone delivery of small packages continue, a possible urban asset to successfully leverage is the network of natural and man-made drainage in metro areas.  This inventory would include streams, waterways, canals, gullies, rivers.  Has there been any empirical work been done on utilising these networks for commercial delivery of packages by drones.
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Will drones evolve as a parcel delivery model or as objects of intelligent logistics networks meaning that they will deliver to distribution centers not to final users?
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May be helpful for your work:
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What will be the future applications of analytics of large data sets conducted in the computing cloud on computerized Business Intelligence analytical platforms in Big Data database systems in enterprise logistics management?
The analytics conducted on computerized Business Intelligence platforms is one of the key advanced information technology technologies of the fourth technological revolution, known as Industry 4.0. The current technological revolution described as Industry 4.0 is determined by the development of the following technologies of advanced information processing: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence, Business Intelligence and other advanced data mining technologies.
The analytics conducted on computerized Business Intelligence platforms currently supports business management processes, including logistics management.
In my opinion, the use of analytics of large data sets conducted in the computing cloud on computerized Business Intelligence analytical platforms in Big Data database systems in enterprise logistics management, including supply logistics, production logistics, provision of services and distribution of manufactured products and services, is currently growing.
The analytics conducted on large data sets conducted in the cloud computing on Business Intelligence computerized platforms in Big Data database systems makes it particularly easy to identify opportunities and threats to business development, allows for quick generation of analytical reports on selected issues in the economic and financial situation of the business entity. In this way, the generated reports can be helpful in the processes of enterprise logistics management, including supply logistics, production logistics, provision of services and distribution of manufactured products and services.
Do you agree with my opinion on this matter?
In view of the above, I am asking you the following question:
What will be the future applications of analytics of large data sets conducted in the computing cloud on computerized Business Intelligence analytical platforms in Big Data database systems in enterprise logistics management?
Please reply
I invite you to the discussion
The issues of the use of information contained in Big Data database systems for the purposes of conducting Business Intelligence analyzes are described in the publications:
I invite you to discussion and cooperation.
Best wishes
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It is rising field since intelligence and in general artificial intelligence becomes the dominant technology of current era
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What is the changing logistics of the distribution of products or services in connection with the development of Internet trade, online payments and settlements, and the provision of information services via the Internet?
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Dear Arcelan S. Sadiq,
Yes, finding alternatives to products at the most appropriate prices with the ability to provide processing and delivery services internationally increased its importance during the SARS-CoV-2 (Covid-19) coronavirus pandemic in 2020.
I invite you to the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
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Looking into global context of this pandemic cause thousand of flight being canceled and grounded. In local context, e-hailing is far most frequently used to deliver consumer goods. Some maybe looks like it negatively impact the trade, but how does logistics perhaps to be important factor to elevate new trend of consumer behaviour of purchasing through e-commerce for the next five years?
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During the first wave of the SARS-CoV-2 (Covid-19) coronavirus pandemic, there was a significant shortening of international logistics chains. Due to the acceleration of digitization and internationalization of economic processes, the development of e-commerce, Internet purchases, online settlements and payments, the development of e-banking, etc., e-logistics is also developing.
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Dariusz Prokopowicz
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The current technological revolution, known as Industry 4.0, is determined by the development of the following technologies of advanced information processing: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence, Business Intelligence and other advanced data mining technologies.
In connection with the above, I would like to ask you:
Which information technologies of the current technological revolution Industry 4.0 to the greatest extent support the logistics management process of the enterprise?
Please reply
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in my opinion, modern technologies, voice systems, artificial intelligence and the Internet of Things facilitate the work in logistics. However, it is worth remembering that the analysis of large amounts of data should support people, not just the process.
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What modern, computerized information technologies in the field of Industry 4.0 are used to implement improvements in production logistics or other logistics areas, such as distribution logistics, supply logistics, transport logistics, etc.?
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In recent years, the improvement of production logistics is carried out by optimizing the processes of managing the supply of raw materials, semi-finished products and prefabricated products to specific stages of the production process in accordance with the concept, e.g. just in time. The improvement of production logistics is also made through the optimization of the consumption of raw materials, energy, etc. as part of the improvement of technological production processes. The aforementioned improvement of technological production processes is carried out by implementing such Industry 4.0 technologies as smart technologies, learning machines, network development engineering, industrial Internet of things, automated machines and robotics, horizontal and vertical data system integration, multi-criteria simulation models, additive manufacturing, etc.
Best regards,
Dariusz Prokopowicz
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What types of restructuring processes are used to implement improvements in production logistics or other logistics areas, such as distribution logistics, supply logistics, transport logistics, etc.?
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The SARS-CoV-2 (Covid-19) coronavirus pandemic, through its impact on economic processes in many production companies, accelerated the development restructuring processes implemented through the implementation of new Industry 4.0 technologies, including the use of smart technology, the Internet of Things, learning machines, robotics, artificial intelligence, cloud computing etc. and improvement of production logistics. Currently, many production companies are creating platforms that enable the implementation of team engineering projects implemented in the form of remote work and with the use of the so-called. digital twins of specific designed production processes, complex product designs, multi-stage technological, manufacturing, production processes, etc.
Regards,
Dariusz Prokopowicz
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Public health authorities claim that no one is safe from COVID-19 until every one is safe. This has translated into a goal to vaccinate everyone who can be vaccinated. Logistically, however, it will take 7 years to vaccinate 2 million adults per day (365 days a year, no weekends or public holidays) across the world in order to vaccinate earth's 5.8 billion population over the age of 15 with a single dose. (Some well resourced countries are struggling to achieve 100k jabs per day). So what's the point?
We are not even discussing the hundreds of thousands of vaccinators needed at work everyday for 365 days a year for 7 years to achieve 2 million jabs per day, or the possibility of new vaccine-resistant virus variants and mutations, or the endemic unknowns that can overtake the best designed plans, as well as Murphy's law etc. It appears that, once the developed world is accounted for, everything may grind to a halt or settle into an opaque, haphazard process without a clear end in sight. It may be that the only solution to vaccinate "everyone" within a year or two years is to inject half the world with a saline placebo?
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Dear Dr. Nyasha Mboti, yes, we are facing a pandemic, that has engulfed the entire world... The virus by its nature cannot reproduce and cause mutations unless it enters the host's body, so the main goal of vaccination is to reduce infection rates by generating acquired immunity against the virus, and where the purpose is to isolate the virus from the host ... Certainly there is natural immunity, but we cannot rely on it to control and reduce infections, because I mentioned that in order to fight and eradicate of the virus, transmission rates must reach zero, and this is not possible at the present time for several reasons I mentioned in the first comment ... We also must not forget that the immunity generated against this virus, whether from natural infection or from the vaccine, is not long-term and ends after a while, and here the virus may develop itself and new variants appear from it that are more dangerous and fastest spread ... So even after controlling the pandemic globally, it is very possible to expect that we will live with the virus in the future and it will turn from an epidemic to an endemic disease ... My sincere gratitude to everyone.
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The scope of emergency and disaster management systems should be redefined.
Public transport and fleet management pandemics must be inclusive.
Logistic management and Intelligent Logistic strategies must be inclusive.
Factors and priorities affecting public transportation should be arranged according to the pandemic.
All legislation required in the above articles should be rearranged according to the pandemic.
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Dear Prof. Tektas!
You raised a key issue. I think resilience of health care IT - systems are of critical importance:
1) Sundararaman, T., Muraleedharan, V.R. & Ranjan, A. Pandemic resilience and health systems preparedness: lessons from COVID-19 for the twenty-first century. J. Soc. Econ. Dev. (2021). https://doi.org/10.1007/s40847-020-00133-x, Open access:
2) Pendharkar, S.R., Minty, E., Shukalek, C.B. et al. Description of a Multi-faceted COVID-19 Pandemic Physician Workforce Plan at a Multi-site Academic Health System. J GEN INTERN MED (2021). https://doi.org/10.1007/s11606-020-06543-1 Open access:
3) Elliot Mbunge et al. (2021).A critical review of emerging technologies for tackling COVID‐19 pandemic, Human Behavior and Emerging Technologies Volu,e 3, Issue 1, Open access:
4) Jaffar Abbas (2021). Crisis management, transnational healthcare challenges and opportunities: The intersection of COVID-19 pandemic and global mental health, Research in Globalization, 23 February 2021,In Press, Corrected Proof, Open access:
Yours sincerely, Bulcsu Szekely
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I would like to hear your opinions regarding sharpening the orientation of my career by focusing on what matters most just looking at the trends and how the world is changing.
Actually, I did Quantity Surveying/Construction Management (cost engineering) and mastering now in Global Logistics.
I want to combine these two into a long term business focusing on Digital World (I love business).
Thank you
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I propose the implementation of research development in the field of Global Logistics with the use of new information technologies, ICT, Internet and Industry 4.0, including IoT technologies, cloud computing, Big Data Analytics, etc. The use of these technologies allows for shortening logistic chains and the development of e-logistics. These processes may be helpful in transforming logistics in the context of the current SARS-CoV-2 (Covid-19) coronavirus pandemic. In addition, the research carried out can include the analysis of determinants of the transformation of traditional logistics towards sustainable green logistics. So I propose to take into account the above issues in future scientific research.
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Dariusz Prokopowicz
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Logistics of production + Business Intelligence + Internet of Things + Learning machines + Internet + Big Data = Advanced analytics supporting production logistics processes?
Is the combination of currently developed technologies of Industry 4.0, ie above all advanced information technologies: Business Intelligence + Internet of Things + Learning machines + Internet + Big Data and Internet ICT and their application in the field of production logistics will lead in the next years to the emergence of advanced support analytics production logistics processes, including the development of production e-logistics?
Please reply
I invite you to the discussion
Thank you very much
Best wishes
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... Industry 4.0 is expected to have a significant impact on supply chains, business models, and processes in order to achieve an MSC. Researchers use different names for Industry 4.0 in the supply chain management context: digital supply network (DSN), Internet of Things, E-Supply Chain, Supply Chain 4.0, E-logistics, or Logistics 4.0...Industry 4.0 increases digitalization and automation in manufacturing, and creates a digital process to facilitate interaction among all parts of a company. By implementing Industry 4.0 in the supply chain systems, four main SC elements—integration, operations, purchasing, and distribution—are affected and can increase the productivity of companies as well (Kayikci, 2018).... The main benefits of Industry 4.0 in the SC are to reduce the lead time for delivery of products to customers, reduce the time to respond to an unforeseen event, and to prompt a significant increase in decision-making quality (Barreto et al., 2017).... Industry 4.0 can help companies afford complicated and dynamic processes in their SC and to handle large-scale production and integration of customers (Rennung et al., 2016).... Industry 4.0 can bring positive benefits in current sales and operations planning and also in the logistics process (Santos et al., 2017).... After implementing Industry 4.0, real-time information can be shared across this digitalized process to drive useful decisions. ...
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inventory researchers
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The difficulty of reverse logistics includes many more transactions than the forward supply chain and the various actions relating to product returns will span across many functional departments – finance, sales, customer service, warehouse, repairs and transportation. For the mainstream of these functions, product returns are likely seen as much more of irritation rather than a priority.
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For my master thesis I'm building a cost model for organizations, which will calculate the cost for insourcing the transportation and outsourcing.
I need a formula, which can calculate an average distance that needs to be driven by the organization to serve its customers. However, the location from the customers is not available, we only know in which area the customers is.
In advance thank you so much for your time to read my question.
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Hi Peggy, some software licences are free (trial) for 30 days. It might be worth checking out these options too.
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Industry 4.0 has been partially defined by its use of machine-to-machine communication and Internet-of-Things (IoT) devices to create factories that operate like smart homes: an array of appliances and machines are brought into constant communication in order to create a cohesive, highly visible system. Logistics 4.0 operates under these same principles, but with a different set of component parts. Specifically, it makes use of “smart” containers, vehicles, pallets, and transport systems in order to create a fully networked supply stream that offers supply chain managers, shippers, freight forwarders, and others the necessary visibility to route transport and perform other logistics tasks in an optimal way. The concepts of Logistics 4.0 are becoming popular as logistics management evolves. Industry 4.0 impacts the corporate world through digitization both horizontal and vertical supply chains, products, services, business models, and customer relations.
How much this will affect the Third-Party Logistics (3PL) providers?
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through block chain and AI the security , speed and accuracy of information sharing will be key element of i4.0 in 3PL..
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In the last 25 years, outsourcing has emerged as one of the key globally focused supply chain strategies . After the mid-1990s, the importance of supply chain management (SCM) increased noticeably among practitioners. As a result, the study of supply chain and outsourcing has increased exponentially. In developing markets, with increasing customer demands, outsourcing non-core business
functions has become a commonplace supply chain strategy for many companies and organisations.
DOI 10.1108/BIJ-04-2017-0066
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1. Not clear about the extent of business that the company wants to outsource.
2. Not treating the other company as a business partner.
3. Not sharing information and knowledge with the other company.
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I want to do research on customer knowledge using their spatial data by means of data mining methodology. Regarding my field of study, I wonder whether my topic is relevant to supply chain and logistics management or not. Moreover, in which other areas of supply chain and logistics management is data mining methodology used?
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Dears
A number of our colleagues answered the first part of your question (SCM and customer knowledge), meanwhile, I can contribute to the second part regards SCM and Data mining or Big -Data.
Some of the Big data and Data mining applications in SCM are:
Real-timed processing of massive info and SC issues
Dynamic selection of SC members/actions/ and changes
Better Loopholes management
SC dynamic design and structuring
Enhancing Sales, purchasing, Transportation and inventory actions
Warehouse mgmt/operations and productivity
you can follow this project/publication for more info
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What are the main determinants of the process of integrated risk management of cybercrime and the security of information transferred on the Internet?
In my opinion, the processes of integrated cyber risk management and security of information transferred via the Internet should include the following issues:
- Modern organization management
- Innovations related to information security
- Big Data logistic management in the organization
- IT systems risk management
- Security of information posted on the company's websites
- Good practices in information security management
- Methods for estimating losses as a result of teleinformatic attacks
- Economic aspects of building an IT security team in an organization
- Security of IT infrastructure and Operation Technology
- Information security management standards
- Cloud Computing and information security
- Incident and crisis management
- Business Continuity Planning (BCM)
- Personal data protection
- Technical solutions in the field of information security management
- Cryptography and security mechanisms
- Equipment security and network management
In your opinion, what other issues should be taken into account in building and improving the process of integrated cyber risk management and information security transferred on the Internet?
Please reply
Best wishes
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Hi Dariusz,
I think one of the biggest risks to security will be the ongoing development and mass adoption of quantum computing.
Regards
Martin
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Can advanced data processing in the cloud, Big Data database systems and Business Intelligence analytical platforms be helpful in the processes of restructuring and improving logistics of the functioning of production processes?
Please reply
Best wishes
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Notably, the significance of supply chain management and and the ways by which it will facilitate and improve production processes is known to those involved in modern industrial enterprises. This requires much IT investment which in turn depends on managing and maintaining big data. In point of fact, large data sets are required to analyze computationally to reveal patterns, trends, and associations which may shed light on logistics management and production engineering . However, promoting sustainable development simply encourages technological advances that are a threat to the earth's resources. As such, the use of big data analysis and interpretation should aim at enhancing Green Logistics in order to help the effective functioning of production processes.
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I am about to embark on BcomHons logistics management. I am new into research any advise on how to do best research.
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Hi Oliver
I am working in petroleum industry with pipelines as a means to transport bulk orders of petroleum products in order to move away from fuel trucks transporting from refinery. imagine how many trucks can be used to transport 1 million L of product from refinery e.g Durban. So pipeline allows for 1 million of product to be transported in 2 or 3 hours at a flow rate of +/- 10 000L per minute, thus reducing the amount of trucks that are utilized to replenish most garages. This enables companies to use their trucks for replenishment only which reduce the cost of road transport and carbon emissions. Pipelines make use of electricity and pumps from intake to delivery stations just like how water in pumped from the dam to households.
Read further on Transnet pipelines to get more clarity its there on the transnet website.
Regards
Annah
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Is anyone working on India post or was working in past?
Specifically in field of Suppy chain/Logistics management.
Please Let me know.
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you have to take a look and contact him
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Humanitarian logistics is not new but seldom being mentioned in most of the logistics and supply chain operations. But recent incidents such as earth quake and tsunami could be strategically being studied as a SAR operations planning and not necessarily a military or enforcement agencies. Cases such as earthquake in Taiwan, Korea and Japan are the best examples of how important and stressful indeed for the business to move around in the supply chain. But this mostly never being stressed or even mentioned in the higher learning institutes as part of the important logistics and supply chain support elements beside focusing on the manufacturing and global business.
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We have a developed a course Humanitarian Logistics & Supply Chain Management which will use Case Studies. Please share in this humanitarian academics. moinak@iobm.edu.pk You can see us on research gate also
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I am looking for some research papers having interesting case studies on application of IoT in Supply Chain Management (SCM) for Retail\logistics in context of Industry 4.0. I found some literature, however apart from [1], most work provided quite simple use cases.
[1] Fiedler, M., & Meissner, S. (2013). IoT in Practice: Examples: IoT in Logistics and Health. In Enabling Things to Talk (pp. 27-36). Springer, Berlin, Heidelberg.
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Simply check Amazon research papers and the KPMG report related to that
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TIA comes with the legal background. Therefore it has been allowed normalize traffic level for all. But there are significant road segments that cannot allow the legal level.
If there any article journals related this please let me know. I like to make a framework for my study. therefore I need the base that other localities use.
Thank you,
Dilshan
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Good answer by Kundan.
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I tried getting books for references on this particular subject area but haven't got much. I will be thankful, if anyone could direct me in getting some reading materials on these subjects
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Sipper,D. & Bulfin.R.L., Production : Planning Control & Integration. Mc Graw -Hill,1997 for inventory models warehouse management. 
Happy Reading...
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We are looking for a methodology or framework that may allow us the characterization of a network composed by more than 20 hospitals in a region of Colombia. Our characterization is related with the logistics infrastructure, processes and performance measurements of the network and its components.
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Thank you so much Sally. We were asking for a more holistic framework.  For example we were considering methodologies that may us allow to understand patients flows, inventories policies, and the state of some other logistic process. We are trying with a more strategic that tactical methodologies.
Nevertheless your suggestion is very well appreciated. Simulation is a very interesting tool and we have tried with it in some undergraduate projects. Thanks a lot!
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I am currently reviewing literature around dynamic (managerial) capabilities for my dissertation. On the long term, I am intending a case study on a German wholesaler and this question is one of the several questions with potential for my research questions.
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Currently researching on the emerging area of data value chain and telematics data in the road freight sector in South Africa. it seems to be an area not yet well explored. I am researching on how this data can be used as a tool in evaluating the impact of the road freight on the environment, society and economy. Further looking into how the data can be used in advancing freight and logistics management systems whilst promoting a sustainable sector
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Have you found critical factors affecting sustainability through this data?
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 I read some literature relating port supply chain. Most of them they didn’t illustrate port supply chain clearly. Some of them concluded that port is an extended form of logistics chain, and in some literature, I found it as “Port Service Chain”. But I still cannot get the clear end to end supply chain in a port.
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No, I don't think so. Ports are only elements in a global supply chain. Therefore, they haven't their own SC, but they are integrated in a worldwide SC.
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In project-driven company, at the end of project, surplus or leftover material/equipment can be reused in the next project. In order to that in an effective way, company needs a good process of reverse logistics management. Those materials will need to be collected and sorted (4Rs: reuse, return, recycle or remove). 
I have heard a lot about reverse logistics in manufacture but not in project-driven organization. I would like to know more about that.
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In many instances, the reverse logistics for a project or event is not worth the transportation cost to return the goods.  Think in terms of event management. Perhaps a trade show has put books on display; often they will give the books away to the people who stay late because it is not worth the price of repackaging and shipping them to the next site.  That, of course, is assuming that we can liken a conference to another type of project.  In most cases, the materials need to be designed for easy repackaging and shipping if they are to be returned and reused. If you look at what happens at a lot of construction projects, a great deal of material is thrown away because the system is not set up to do anything else with pieces of a 2"x4" or excess shingles from a partially used package of roofing. With some kinds of larger projects, heavy equipment will be moved to the next project, but an awful lot still remains in place, is sold at the site, or discarded.  Just a few thoughts.
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I'm structuring an applied research on practices of reverse logistics in diversified sectors. I intend to apply a survey to identify current practices and potential improvements in reverse logistics processes. I would like to get information from already conducted questionnaires and/or surveys structures.
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 Ian
Thanks for your valuable contribution!!
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I need the questionnaire  for my dissertation, and so far I can't find any published questionnaires.
I want to use quantitative/descriptive analysis on the logistics industry in Greece, in order to propose for the creation of a logistics cluster, since there aren't any in Greece so far.
Any feedback will be much appreciated
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Dear
In Brazil you can contact Mr. João Maurício Gama Boaventura (jboaventura@usp.br) or Mr Luiz Carlos di Serio (luiz.diserio@fgv.br). They have expertise in this thematic.
Best Regards
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Experts in Container Terminal  operations management experts
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Hi Asela,
The attached article may provide some general links to your topic.
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3pl and 4pl pricing methodology. There is basic two forms of pricing 3pl and 4pl services. Cost plus and outcome/result oriented. 
I am looking for a cook-book, so we can implement the process and the software accordingly.
thanks
Daniel
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I would suggest this as a good starting point (not a scientific source, but an article from an industry magazine).
It's not a ready-made cookbook, but it lists some common pricing methods and hints at some variables that can be used to choose among them (for example, contract duration; sales projections; expected seasonal fluctuations; availability of temporary labour; other bundled services).
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I need to identify which resources (goods, materials, instruments, persons) can become a physical constraint or bottleneck in the logistic system of an enterprise / Necesito identificar qué recursos (activos, materiales, instrumentos, personas) pueden convertirse en una restricción física o cuello de botella en el sistema logístico de una empresa.
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Dear Rupert,
I appreciate to a lot your suggestion, have a nice day
Regards
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Any Venn diagram 
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Here's the Diagram
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in the uk we now have lots of new psychological therapy teams. most still operate in localities separate to GPs, often to do with logistics and managing effective through put but it still creates a division
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I am located in the USA. You ask about co-location of mental health and physical health services. While I have no opinion on that question, you also seem interested in general improvement in the providing of psychotherapy services, and I do have an opinion about that.
It is not difficult to imagine a theory of mental health services that adds a natural mental technique that can be shown in research to gradually and systematically eliminate stresses, strains, and overloads in the nervous system.
I teach such a technique, and the psychiatrists and doctors I work with keep referring their patients to me because this technique helps to eliminate the underlying cause of psychological problems while the therapist continues to work on approaches rooted in Freudian transference, cognitive psychotherapy, or psychodynamics, particularly investigating psychological stories (self-told, family, work-related, etc.).
In my experience, problems that can ordinarily require years for complete solution can be resolved in weeks or months. In the USA, applying this methodology could help solve an important and basic social and financial problem of our times: the high cost of mental health care.
I myself, with no particular training in psychology, have apparently cured cases of panic attacks through a single hour of talk (investigation into experiences), when supported by the regular practice of transcending (taught by NSR, or Natural Stress Relief).
At least this one form of meditation, transcending, works along with traditional psychotherapy to produce fast and lasting results.
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Hi,
I am searching for recommendation for the best 3pl and 4pl ERP, WMS, TMS, etc. software in the market. 
I am specially interested if there is good open-source or fully cloud version for this type of software. 
Sincerely,
Daniel
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Some automobile companies have their own platform. The reason coul be, that they (Renault, PSA, ...) have developed their own logistic procedures belong to 3pl/4pl strategies.
SAP has introduced cloud solutions, so it could be customized.
I am so intereseted in using information technology to improve supply chain.
Be in contact!
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Can anybody tell me which logistics enterprises are engaged in 3D printing business? Thanks.
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La empresa de Neurociencia de Cuba está incursionando en transformar la logística para ajustarla los sistema de distribución de productos generados en 3D como son los implantes auditivos. Aquí influye el aumento casi exponencial de los radios medios de distribución de los productos que se diseñan y piden a través de Internet. Se ha visto que debe recurrirse a operadores logísticos que tienen alcance global, incluyendo empresas de transporte aéreo y terrestres que tienen alcance en un gran territorio con frecuencia determinada de ejecución de rutas. Este es un problema calve para generar un punto de equilibrio elevado que recupere la inversión y genere costos de comercialización más competitivos que con las tecnologías tradicionales.
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Huge benefits have been reaped from collaboration between buyers, suppliers and logistics service providers. The Kraljic matrix, the Kamann Cube and the Bensaou model provide means to assess the collaboration value of a given supply chain partner. It has been argued that 3PLs suffer a significant amount of "squeezing" from their customers - a practice associated with transactional purchasing of commodities rather than strategic partnerships. 
To what extent is this statement true? If it is true, what will be the effect on collaborative potential in the 3PL industry; and what will be the effect on value creation and total cost to the supply chain?
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Dear Colm,
I think your above conclusion is right. 
drivers of LSPs accepting contracts through a reverse auction process, are forcing the more innovative LSPs and progressive thinkers out of the industry.
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Hi All. Recently I want to write a paper about an emerging seaport. And a definition of emerging port should be defined in this paper. However, it is difficult for me to do this that I cannot find any similar definition about port (neither large port or small and middle size port).
Therefore, I wonder if any perpson know how to define "large port", "emerging port" and "small and middle size port"? And is there any standard to divide ports by their throughputs, such as a port can be regard as a large port if its throughput is higher than 100 million TEUs by XXX(person, research, or standard)?
I'm waiting for your help.
Thanks very much! And best regard!!
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Hi There,
The way i see it by categorically defining or separating all type of ports. It may depend upon few standard parameters common for all, like
1. Volume of cargo handling
2. Port Area
3. Automation in handling level of the port
4. Digitization in port operations
You have to do an apple to apple comparison for each parameters(i just examples top of my head). Try to collate stats of major ports in Asia, USA and Europe etc. on these lines.
Hope it shows some light.
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Dear Friends,
We are studying a hazmat transportation problem with multi-modal (rail+road). Now we need to have some instances (real or generated) for using in our model to solve the problem based them. 
Any information you can provide me would be greatly appreciated.
Best regards,
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Dear Shih-Miao Chin, thanks again. 
These sites has good information about network topology.  Hope, we could use them since the data are based on GIS software.
regards
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Currently he is working on 02 considered medium mining companies.
Consider the following:
- More than 80% of the materials belonging to the maintenance area.
- The criteria considered by Logistics is more focused on the production area.
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Hola, lo quiero es del enfoque de mantenimiento, formar los criterios a tener en cuenta, ya que en 2 minas que he trabajado el sobre stock de repuestos siempre es el problema.
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I hope to survey companies of all sizes in Mexico (domestic or foreign owned) for their usage of third party logistics providers.  My survey will only be sent to those firms that outsource one or more of their logistics functions to third party logistics providers. 
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One of my friends is completing his dissertation on third party logistics and has run into a barrier of finding a validated survey. Any suggestions?
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If you do a search for Robert C. Lieb (Northeastern U.) and 3PL in Google Scholar, he is a recognized expert in the field and has conducted numerous recent surveys on the 3PL industry. The most recent on 3PL talent and presented at CSCMP Denver 2013--see here for slide deck.
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It does not make sense to create dummy var for a var like month, where value of dec (12) can give wrong implication and distorted distribution; but for var like risk ( low, med, high, very high), shall we create dummy var or numeric var with values 0,1,2,3?I want to use these vars for a logistic model.
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You should really think about what you want out of your analysis. In principle it is not a good idea to force a continuous function into a categorical variable. When converting a continuous variable (time) into a categorical variable, you are likely to distort your model. The distortion arises as a mismatch between cycles in the continuous variable interacting with the cut-off values in the categorical variable. Visualize a sine wave function going from 0 to +1. Now sample this in different ways, and calculate an average value for each category. Option 1) Each category level is a full cycle. Average=0.5. Option 2) Each category is a half cycle. Average=0.5,0.5. Option 3) Each category is a quarter cycle. Average=0.25, 0.75, 0.75, 0.25, and this pattern repeats. Option 4) Each category is 1.25 cycles. Average=0.45, 0.55, 0.65, 0.55, and this pattern repeats. Thus the way you build categories influences the answer that you get. Everything gets more difficult if you do not know what the cycles are, and worse yet if the cycles change in periodicity from month to month or year to year. It is even possible to conceive a scenario where the results are nothing more than an artifact of how the categorical variable was developed from continuous data.
If December 12 is one of the categories, try Julian day (1, 2...365). Day is a fairly natural biological cycle, and I would expect fewer problems. It also gives you enough "categories" that you can treat them as continuous in nonlinear models.
Variables like risk need to stay as categorical. The example given is called a Likert scale in social sciences research. Wikipedia gives a nice overview, especially with the references cited therein. If you have access, use one of the large bibliographic databases (e.g. Web of Science, AGRICOLA, CABI) and search for Likert. You could also try the newer approach that Paul advocates. However, even if the analysis methodology that you choose is independent of the underlying distribution of the data, you will still need to understand the issues associated with Likert scale data in order to discuss the results in terms that reviewers will accept.
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I mean the binomial method used for components' forecast.
It's defined as the number of employments, but I haven't understood if it comprehends also the amount of pieces actually employed.
That is, suppose we have the mechanical piece XY build both on the arm and on the panel of an industrial machine in quantity of 2 on the arm and 3 on the panel.
Now, that "n" is 2 (so the count of different applications) or 5 (so the amount of single pieces used)?
Thank you
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Well, first thank you for your answer.
Actually, the correct case is the first one you have submitted: I am working on the spare parts' forecast starting from their use in the past, so starting from the passed occurrences data.
In particular, in the example made, I supposed different applications in different systems (so non-conditioned breakdowns), in order to understand if that "n" meant either the number of purposes or the total number of pieces used.
So, I think the correct answer is this last one, thank you so much.
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New Silk Road: China-Russia-Latvia The new East - West Logistics.
After the new strategic collaborations between China and Russia,
To what extent do you think the new Silk Road (China-Russia-Latvia) will affect the global logistics industry? especially the Middle East region and its shipping lines?
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I think Russia could move into a truly dominant position IF it was willing to invest the manpower and technological resources necessary to develop and operate the most modern facilities available to transport the crude oil products of the Caucasus and the Crimea to the nations of the West (the European Union) and the Orient (China, etc.).  While the initial capital investment would be enormous, it's resultant benefits would be incalculable, since both Europe and China suffer from limited immediate oil resources.  And their control of those resources would put Russia in a geo-political position of energy control over the most industrialized nations on earth outside of the Western Hemisphere.    
(Note: Such an approach would merely be a repeat of the strategy used by Great Britain when the British Empire took control over the oilfields of the Middle East.)
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I am working for an international humanitarian organization in Geneva. We are currently rewriting our field manual and very keen to benchmark against and learn from commercial organizations involved in any aspects of international transportation, distribution, warehouse management, forecasting, inventory control, quality assurance, purchasing, performance management, risk management etc. Currently implementing an ERP.
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Hi George, I've an old report about global SC benchmarking 2006, at least it can give you an idea bout the logistics and SCM benchmarking.
you can find a copy of this report at:
Regards.
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I need an article about a single facility problem or multiple facility problem in rectilinear distance or euclidean distance, or an article about a tree network problem or cyclic problem ( 1 median problem or 1 center problem or n center problem ).
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Thank you Nishant
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Logistics service users (LSUs) prefer to deal with one logistics service provider (LSP). Providing a wide-range of logistics service affect the quality of these services and the LSP's ability to add value.
What do you prefer? A specilaised LSP with a limited range of high quality logistics services, or a one-stop shop LSP? Why? What are the main logistics services that you ask for?
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LSP has been long specialized in several services in freight forwarding, warehousing and transportation. These services are considered common and you can always obtain from LSP regardless of their size of operations. In view of the cost related consideration, many companies in general prefer LSP with multiple capabilities rather than specialized LSP, as a result of the economic of scale operations. Companies in the long run can benefit from the lower cost LSP and able to solve the 'varieties' of challenging and complex logistics functions in the daily operations.
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So many have been talking about the role of logistics and supply chain management but it seldom crossing the roles of maritime supply chain. Most universities who have such programs only stress the important of logistics role in land, sea, air, logistics providers and pipeline but less on maritime supply chain. Should I assume that its a new study but has long bee neglected about its very important roles in logistics activities?
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With the growth of sustainability and demand for short lead time products and services, maritime will be pushed to areas of high volume low cost applications, where planning is better, lead times are fairly constant and businesses enjoy a great deal of predictability.
Efficient road transport or rail road combination will be the future as businesses look to increase their responsiveness and also support delayed ordering to support greater customisation.
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As a former practitioner of Logistics Management and Warehousing, I felt that this argument and logic was difficult to understand from the practitioner perspective. I saw a lot of failures on this and the claim that SCM is the best practice could only be shown in numbers and system but not in practice.
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Dear Marco, I agreed with your assessments on parallelism that fits the customers requirements and thus minimizing the costs reflecting the number of warehouses required in SCM practices. However, to have such global trends as it decentralized the operations from centralizing the distributions of materials in SCM thus create lot of problems and inefficiency involved as to create the human capital management (HCM) in adjusting such process. It may not be actualize to the maximum. I may agree if the case of manufacturing productions outputs are amounting to small quantities. It may justify to that requirements. But having a massive production output may cause lot of problems and inefficiencies in the SCM operations process linking to the global needs. They may produce more and more as a sign of good productivity but it could or may create bigger problems for SCM and warehousing practitioners. I think this is the main issue for SCM to look into. Arguing that warehousing is not prominent role for such SCM activities may tantamount to bigger gap and problems. One of the best examples are companies practicing contract manufacturing globally as producing a good inventory audit results is difficult produce.
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Firms use different dimensions and techniques to evaluate and select their LSPs. To what extent are tangible and intangible logistics resources and capabilities a good choice for this mission, and to what extent these resources and capabilities are interrelated (mutually interdependent)?
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For outsourcing of logistics activities, shippers have been faced with the inevitability of selecting an appropriate logistics service provider. The selection process for the identification of a logistics service provider that best fits user requirements involves multiple criteria and alternatives and may be one of the most complex decisions making. The tangible and intangible logistics resources and capabilities is a good choice for considering a efficient logistics service provider.