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Article
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Objective:: The aim of this article is to analyze the influence of the variability of the standard time in the simulation of the assembly operations of manufacturing systems. Background:: Discrete event simulation (DES) has been used to provide efficient analysis during the design of a process or scenario. However, the modeling activities of new...

Contexts in source publication

Context 1
... according to Law (2008), normal function is rarely considered the correct function for the representation of manufacturing processes. All operators' times to assemble one part are given in Figure 4 as the mean, minimum value, maximum value, and deviation in each situation. ...
Context 2
... analyzing Figure 4, it can be seen that all the statistics present a decrease in values between the learning and trained scenarios. The decrease of the deviation value between the scenarios may indicate the stability of the process with less process time difference. ...

Citations

... Machado et al. [17] and Harari et al. [18] provide the standardization of the work method as a solution to their problems. On the other hand, Desai [19] proposes a design methodology in his solution, with which he manages to reduce the assembly time from 102 seconds to 11.9 seconds. ...
... Widely used in industry [4,5,6], however, there are already studies with its application in service providers, allowing an effective solution for product/service costs, with a focus on reducing time and eliminating waste [7]. ...
Article
Full-text available
The Methods-Time Measurement (MTM) tool has been gaining ground for offering cost-effective solutions for products/services, focusing on time reduction and wastage elimination. Aiming at the optimization of operations, this research aimed to evaluate the operational results from the MTM tool in a medium-sized beauty salon in the Tianguá-CE city. To carry out the study, the services provided by the salon were evaluated to verify the one that was most relevant, highlighting the services of manicure and pedicure. In these services, a diagnosis of the current scenario was carried out, and MTM were applied to identify opportunities for their optimization. After obtaining the results and analyzing them, it was possible to reduce unnecessary activities by 54.61% in the pedicure service and 62.57% in the manicure service, resulting in more agile, efficient, and low-cost services. In addition to reducing unnecessary activities, this improvement was possible through the standardization of the other activities that make up the service and the reorganization of the layout. Therefore, it is concluded that the application of the MTM provided gains in productivity and in the quality of the service provided, as there was a reduction in waste and greater agility in the service.
... Simulation in the context of manufacturing systems refers to the application of software to develop computerized models of manufacturing systems, in order to analyze these systems and obtain important information such as impact of a local or specific action on the entire system (Machado et al., 2019). Computerized simulation is considered the second most popular field in management decision sciences among industrial engineers and manufacturing managers (Polenghi et al., 2018). ...
Chapter
Artificial Intelligence (AI) is indeed a technique that is increasingly evolving throughout the worldwide and banking industry has become one of its earliest users. From manufacturing to service industries, AI have been a part of the company, in this modern era, where everything is handled by means of computers or human computer interface (HCI’s). AI is not a new innovation, but it has grown exponentially in recent years, catering a lot for sustainable growth. US and China are important countries that contribute to different applications using AI. As per Forrester report the customised customer platform offers quantitative benefits in the form of reduced costs, highly efficient human resources and enhanced customer engagement outcomes. AI is growing, however there are barriers to support and maintain since it can deal with possible biases or accountability of senior executives and government legislations. Big data is a channel to AI’s service and Virtual reality cannot operate without data. In the Present research the development and success of AI have been analysed focussing on the banking industry. The study also finds different ways to minimise costs and provide reliable data based on Site intelligence. AI’s a machine blessing, but also a threat. This report discusses the vulnerabilities and diverse prospects for growth in this particular service sector.
... Simulation in the context of manufacturing systems refers to the application of software to develop computerized models of manufacturing systems, in order to analyze these systems and obtain important information such as impact of a local or specific action on the entire system (Machado et al., 2019). Computerized simulation is considered the second most popular field in management decision sciences among industrial engineers and manufacturing managers (Polenghi et al., 2018). ...
Chapter
Full-text available
Industry 4.0 (I4.0) fueled by technological advancements in the context of cyber-physical space has brought about phenomenal changes in the way goods and services can be manufactured. However, despite the widespread use of the term in popular vernacular, little is known about what exactly I4.0 is, and the potential contribution it is expected to make and its’ possible fallouts on society. The advent of the I4.0 age has not only brought the promise of an era of immense productivity, but also brought with it many challenges that lie in the path of adoption of such an advanced manufacturing ecosystem. This study presents I4.0 in the context of manufacturing by focusing on three areas. Firstly, the nine (9) core foundational technological phenomenon driving I4.0 in the manufacturing environment, followed by the challenges in adoption of I4.0. Finally, the role of industry-academia partnership in paving the path for adoption of I4.0 is presented as a potential for future research focus.
... Simulation in the context of manufacturing systems refers to the application of software to develop computerized models of manufacturing systems, in order to analyze these systems and obtain important information such as impact of a local or specific action on the entire system (Machado et al., 2019). Computerized simulation is considered the second most popular field in management decision sciences among industrial engineers and manufacturing managers (Polenghi et al., 2018). ...
Chapter
Artificial Intelligence (AI) is indeed a technique that is increasingly evolving throughout the worldwide and banking industry has become one of its earliest users. From manufacturing to service industries, AI have been a part of the company, in this modern era, where everything is handled by means of computers or human computer interface (HCI’s). AI is not a new innovation, but it has grown exponentially in recent years, catering a lot for sustainable growth. US and China are important countries that contribute to different applications using AI. As per Forrester report the customised customer platform offers quantitative benefits in the form of reduced costs, highly efficient human resources and enhanced customer engagement outcomes. AI is growing, however there are barriers to support and maintain since it can deal with possible biases or accountability of senior executives and government legislations. Big data is a channel to AI’s service and Virtual reality cannot operate without data. In the Present research the development and success of AI have been analysed focussing on the banking industry. The study also finds different ways to minimise costs and provide reliable data based on Site intelligence. AI’s a machine blessing, but also a threat. This report discusses the vulnerabilities and diverse prospects for growth in this particular service sector.
... Simulation in the context of manufacturing systems refers to the application of software to develop computerized models of manufacturing systems, in order to analyze these systems and obtain important information such as impact of a local or specific action on the entire system (Machado et al., 2019). Computerized simulation is considered the second most popular field in management decision sciences among industrial engineers and manufacturing managers (Polenghi et al., 2018). ...
Chapter
The fourth industrial revolution is at the beginning, and it alters the fundamental way we work and live. The technologies like Artificial Intelligence, Internet of Things, Robotics, Nanotechnology, 3D printing, Data Science are strengthening one another. The fourth industrial revolution has made an impact in social and economic domains in the form of loss of many current jobs or shifting of nature of work, and in the delivery of public and private services. This paper explores the transformation of the labor market which demands innovative professional skills due to industrial revolutions 4.0. The topics like the origin of IR 4.0, technical revolution, the impact of I.R 4.0 technology, employment crisis due to IR 4.0, the transformation of the job market, and the necessity of emerging skills in the industry were discussed in this paper. An analysis of the impact of digitization in the labor market is done here.
... Simulation in the context of manufacturing systems refers to the application of software to develop computerized models of manufacturing systems, in order to analyze these systems and obtain important information such as impact of a local or specific action on the entire system (Machado et al., 2019). Computerized simulation is considered the second most popular field in management decision sciences among industrial engineers and manufacturing managers (Polenghi et al., 2018). ...
Book
The book explains strategic issues, trends, challenges, and future scenario of global economy in the light of Fourth Industrial Revolution. It consists of insightful scientific essays authored by scholars and practitioners from business, technology, and economics area. The book contributes to business education by means of research, critical and theoretical reviews of issues in Fourth Industrial Revolution.
Article
The situation of the covid-19 epidemic is a driving force of the global market’s demand increase of electronic devices and parts. Entire electronic component manufacturers, especially the transformer manufacturing industry, which is a device that supplies power to many electronic devices, encounters problems in producing products that are unable to keep up with the quickly increasing demand. This research aims to increase the productivity of small transformers by lean approach. The paper depicts processes relevant to improving production processes, reducing waste, and finding unnecessary processes. The method begins with two actions. First, study the current situation in transformer manufacturing of a case study. Second, study the customer order to delivery process using the Value Stream Mapping (VSM) and analyze entire processes of transformer manufacturing to identify standard time by unit work. The main technique is for measuring working time by timing the forward motion with the time measurement method version 2 (MTM-2). The Cause and Effect diagram was displayed with improving guidelines on two operations. First the concept of lean manufacturing was used in principal role, second the ECRS technique (Eliminate, Combine, Rearrange and Simplify) was applied to reduce "waste" as well as to optimize and reduce the manufacturing process of the transformer. The results lead to an increase in the final product per hour from 45 pieces per hour to 75 pieces per hour which increases up to 30% per hour. In addition, the productivity improvements increased the productivity of 3.46 workers per hour to 6.82 per hour (increase of 97.11%) and production time was reduced from 1,109 seconds to 229 seconds (73.04% of productivity).