Advanced Manufacturing Systems—An Introduction to Holonic Manufacturing System

2017 ◽  
pp. 171-180
Author(s):  
Nobuhiro Sugimura
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Advanced Manufacturing ◽  
Holonic Manufacturing

The Human Planning and Scheduling Role in Advanced Manufacturing Systems: An Emerging Human Factors Domain

1989 ◽  
Vol 31 (6) ◽  
pp. 635-666 ◽  
Author(s):  
Penelope M. Sanderson
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Empirical Work ◽  
Field Studies ◽  
Future Research ◽  
Advanced Manufacturing ◽  
Planning And Scheduling ◽  
The Past ◽  
Work Done ◽  
Operation Scheduling

Advanced manufacturing technology is quickly displacing humans from the factory floor, but relatively little is known about how much responsibility humans should retain over plant operation. Scheduling operations are particularly critical to maintaining overall manufacturing system performance, and many researchers argue that humans should be retained in the control loop for this task. This paper critically reviews work done over the last 25 years on human scheduling abilities. The increasing amount of empirical work on human scheduling ability is widely dispersed, and many researchers are not aware of one another's work. Current work on manufacturing scheduling, field studies, and laboratory work on human scheduling abilities are reviewed. Methodological and conceptual problems are highlighted. The intention is to provide a sounder basis for future research on the human scheduling role by providing knowledge of what has been examined in the past and an awareness of the important issues for the future

Cooperation Mechanisms of Holonic Manufacturing Systems

2001 ◽  
Vol 121 (6) ◽  
pp. 1035-1040 ◽  
Author(s):  
Shinsuke Tamura ◽  
Tetsuo Hasegawa ◽  
Toshibumi Seki
Keyword(s):  
Manufacturing Systems ◽  
Holonic Manufacturing Systems ◽  
Holonic Manufacturing

scholarly journals Sustainable, Smart, and Sensing Technologies for Cyber-Physical Manufacturing Systems: A Systematic Literature Review

2021 ◽  
Vol 13 (10) ◽  
pp. 5495
Author(s):  
Mihai Andronie ◽  
George Lăzăroiu ◽  
Roxana Ștefănescu ◽  
Cristian Uță ◽  
Irina Dijmărescu
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Literature Review ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Data Driven ◽  
Smart Manufacturing ◽  
Production Networks ◽  
Production Logistics ◽  
Time Production

With growing evidence of the operational performance of cyber-physical manufacturing systems, there is a pivotal need for comprehending sustainable, smart, and sensing technologies underpinning data-driven decision-making processes. In this research, previous findings were cumulated showing that cyber-physical production networks operate automatically and smoothly with artificial intelligence-based decision-making algorithms in a sustainable manner and contribute to the literature by indicating that sustainable Internet of Things-based manufacturing systems function in an automated, robust, and flexible manner. Throughout October 2020 and April 2021, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “Internet of Things-based real-time production logistics”, “sustainable smart manufacturing”, “cyber-physical production system”, “industrial big data”, “sustainable organizational performance”, “cyber-physical smart manufacturing system”, and “sustainable Internet of Things-based manufacturing system”. As research published between 2018 and 2021 was inspected, and only 426 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, we selected 174 mainly empirical sources. Further developments should entail how cyber-physical production networks and Internet of Things-based real-time production logistics, by use of cognitive decision-making algorithms, enable the advancement of data-driven sustainable smart manufacturing.

Introduction of Flexible Manufacturing Systems as a Necessary Measure for the Russian Industrial Development

2019 ◽  
Vol 957 ◽  
pp. 195-202 ◽  
Author(s):  
Elizaveta Gromova
Keyword(s):  
Flexible Manufacturing ◽  
Flexible Manufacturing Systems ◽  
Industrial Development ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Agile Manufacturing ◽  
Industrial Sector ◽  
Business Environment ◽  
Maximum Speed ◽  
Industrial Enterprises

With the onset of the Fourth Industrial Revolution, the business environment becomes inherent in changes that occur with maximum speed, as well as characterized by the systemic nature of the consequences. One of them is the transformation of operational management models in industrial enterprises. The modern manufacturing system should focus not only on speed of response and flexibility, but also on the cost and quality of products. Integration of effective models: agile manufacturing, quick response manufacturing and lean production, in order to extract the best from them is proposed. The purpose of this study is to analyze this flexible manufacturing system and to relate it to the current state of the Russian industrial development. Theoretical and practical aspects of this model are presented. The examples of the flexible models introduction in the Russian industrial sector is allocated. The conclusion about the necessity of the flexible manufacturing systems implementation for the Russian industrial development is drawn.

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