Controlling Myopic Behavior in Distributed Production Systems — A Classification of Design Choices

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• 作者：H. Blunck ; ^{h.blunck@jacobs-university.de} ; J. Bendul
• 关键词：Manufacturing System Design ; Distributed Control ; Myopia ; Industry 4.0
• 刊名：Procedia CIRP
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：57
• 期：Complete
• 页码：158-163
• 全文大小：247 K
• 卷排序：57

文摘

The future of manufacturing and logistics is currently envisioned under many names: Industry 4.0, Manufacturing 2.0, Physical Internet, etc. They share the vision of distributing control tasks to “smart” machines and products to attain higher flexibility, adaptability, and, in the light of increasingly complex and dynamic environmental conditions, higher logistic performance. The flip-side of such systems under distributed control is the rise of “myopic” (short-sighted) decision making, leading to system nervousness and loss of performance.Designing manufacturing (control) systems for distributed control hence is a significant challenge: With the system performance becoming an emergent property of the interplay of various decision making entities, system designers become conductors of societies of cyber-physical systems, seeking to balance the desirable traits of distributing control while limiting the negative effects of myopic decision making.In this contribution, we set out to help manufacturing system designers to better understand myopic behavior and the design decisions that are known to affect it. Our contribution can serve as a design aid for planners of distributed control systems by structuring the solution space of design decisions to control myopic behavior. By pointing to examples from various research streams, we provide guidance for system designers, seeking to maximize the performance of distributed production control systems.