Article ID Journal Published Year Pages File Type
1699722 Procedia CIRP 2015 6 Pages PDF
Abstract

Knowledge about cyclic influences and their interdependencies supports the prediction of future changes in manufacturing systems and is thus highly valuable for manufacturing planning. Based on system dynamics and former research regarding cycle management, a dynamic cycle network is developed. This enables quantitative analysis and comprehension of cycles within the network, helping to understand future behavior of cyclic influences in manufacturing and to anticipate their potential effects. The results contribute to the development of a planning framework for continuous production planning by further elaborating the innovative concept of cycle management in manufacturing.Video abstract To view the video inline, enable JavaScript on your browser. However, you can download and view the video by clicking on the icon belowHelp with MP4 filesOptionsDownload video (1687 K)

Related Topics
Physical Sciences and Engineering Engineering Industrial and Manufacturing Engineering
Authors
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