Questions related to Industrial Management
through my research, I am more and more coming to the conclusion that the contexts of corporate change turn out to be essential. For example, a transformation in agriculture is regulated quite differently than in the aerospace industry. In a recent presentation by Daimler's CEO, this aspect was emphasized in particular (ecosystems, increasing networking, etc.).
Beyond the ambiguous definitions of change, there are, as you surely know, various approaches to characterizing corporate change. One comprehensive approach is presented by Albach et al. 2014 (https://t1p.de/rk70), see appendix.
There are also characterizations for economic activities, the International Standard Industrial Classification of All Economic Activities, both as a broad and very detailed industry specification: https://t1p.de/7cth
Do you know if there is already research in this area? Which disciplines are addressing the question of how industry contexts (macro) influence corporate change (micro)?
Certainly, it is not possible to cover all industries, but is there, for example, research in the context of C - Manufacturing? How do the industry-specific characteristics of the manufacturing industry affect corporate change projects? Are there certain change characteristics (features, certain dynamics, etc.) that are always expressed in the same way on a broad or detailed industry classification?
How would you proceed methodically with the investigation? I thought first of all of an investigation of the rough structure, e.g. expert interviews and a subsequent survey? Feel free to "brainstorm" as an answer as well.
Thank you and best Greetings from Aachen, Germany
In design and construction, there are many factors that can influence the occurrence of technical risk, which, as a consequence, affects the duration, quality and cost.
Technical risk is risk due to technical factors.
1. Low qualification of a specialist leads to low quality of project documentation.
2. Lack of BIM department.
3. Location of the facility (remoteness from the main manufacturing plants, difficulty in transporting equipment, etc.)
4.Use of new technologies, etc.
Is Research in Industrial Management or Agricultural Management:
(Sustainable Supply Chain Network model of perishable agricultural products)
Can you guide?
Aggflow & Metsim Softwares, using fields and benefits of these softwares.
The connectivity of flows can it be always related to the NTIC or it can exceed it ? How can we see it in the automotive industry? what are the major problems of this particular domaine that needs to be devolopped to have an efficient and a performent SC
That case occurs in different European countries but not in Germany? What are the main reasons?
I'm doing a research within a MTO environment. The capacity levels within this company are based on historical data. The order realization of past year is used as input for the "product mix (named by the company)" to measure capacity and set capacity levels for the next year, on product family level (in volume).
When the product mix change time over time, due to the MTO environment, the historical data (the product mix) is not representative for future demand. So, the capacity levels are not reliable what results in lower operations performance and accepting too much or too less orders.
Do any of you know a approach of method to determine these capacity levels in a MTO environment or how to calculate this product mix in MTO. Could this by using e.g. forecast techniques? Sources that wrote about this topic are scarce.
The location quotient is always calculated by using the number of employment. I am thinking whether it is feasible to use the number of factory establishment, instead of employment. Is there any literature I can refer to?
The "cluster' plus a "ecosystem" become a term that could introduce a industry to a city, to link geographical concentration to a wider sense of urban environment, to connect the industrial workers to the stakeholders, to merge working with living. That is why i believe a local contexts of a place, which is accumulated by urban development trajectory, needs being taken account in most of urban studies. Particular in cultural and creative industries, because their value is generated by "people", "knowledge" and the "creativity". This also relates to how network and communities playing in a various ways to stimulate the creative economy, and to connect creative workers into potential market and client from informal network approach.
The other IP right, especially in which how IP role in the information and knowledge exchange process and how it present in the cluster ecosystem, however requires more study..
If a product is launched in the market, what will be the reliability of the product? Is it 0 or 0.5 or 1 or does not exist. Please explain.
I dare to ask the one million dollar question (I am aware that somebody will judge me as naive). How should researchers work to strengthen the relationship between university and industry? At which level should the relationship be established? At political level between the university and the top management of the company, at several levels, at bottom level where the research and teaching projects are run? And last but not least, how important is the role of sponsorship in all this?
http://kid.item.ntnu.no/bedrifter the ICT company network at our faculty
I was thinking about the different decision making methods under certain and uncertain conditions. My specific question is that:
As you know, we have many MCDM tools like AHP- ANP- TOPSIS- VIKOR- PROMOTHEE- MOORA- SIR and many other methods and all of them have been developed to fuzzy, type-2 fuzzy, intuitionistic fuzzy and Grey environments. Which one is really more applicable under uncertain situations? fuzzy ? type-2 fuzzy? Intuitionistic fuzzy? or Grey environment for a decision making method? I know each uncertain logic has its applications but sometimes a tiny different in collected data may causes different results by each methods.
All the ideas and comments are appreciated. Hope that all of the experts take an action to this question by following or leaving their valuable comments.
I work with sustainability impact assessment, in particular Economic and Environmental impact assessment of industrial systems' design.
Plenty of KPIs exist for such purposes, and the risk of selecting too many KPIs and/or not the right ones to properly assess/compare the cases in analysis (whichever they may be) exist in companies.
Are there any methodologies/guidelines that support stakeholders in the generation/selection of the KPIs that fit their needs best?
In addition to this, which tools beyond a measurement given by a KPI can be considered within the decision making process?
I want to develop inventory models that can handle both in-plant and purchased inventories using just-in-time concepts.
In other words is that reasonable for industry studies to divert their focus of attention to:
1. single industry studies thancross section of industries
2. studying the behavior/conduct of firms in the industry than industry concentration
I'm working on the measurement of organizational technical level in industrial environments. I would like to identify indicators from the logs of a management system. Does anyone worked on that topic?
My goal is to propose a methodology to assess the economic and environmental impact of a new equipment/technology/production system in manufacturing or remanufacturing processes by using simulation and proper KPIs
- what are the potentials and the shortcomings in using simulation (discrete event simulation particularly) for this kind of research goal
- what are the alternative research methodologies (beyond that one above) to address this research goal.
I warmly embrace answers ranging from the sharing of experiences in this field to references, when clearly connected to the topic.
After the articles by Peng & Illnitch '98, Peng '06 and Trabold '02 has there been more development on the research on intermediaries? E.g. when used by small to medium sized industrial firms, why they are still important in the times of the globalization and information and communication technology?
How can we differentiate between natural factors and other economic factors that determine the price of lands? there are a plenty of factors that determine land price not in cities. it seems difficult to distinguish them or measure the effects of variables. I want to know some methodologies to find and measure these natural factors without including human factors such as distance to facilities or urban areas.
I am Md. Mizanur Rahman. Now i am working as a Senior Lecturer, Department of Business Administration, Metropolitan University, Sylhet, Bangladesh. My research interest areas are Management, HRM Issues.
Business to Business applications usually deal with the logistics between the interested businesses. However, Supply Chain Management applications are playing a major role in fixing and managing that relation too, so are those application separate or integrated?