by Christian Plehn, Jonas Koch, K. Diepold, B. Stahl, B. Lohman, G. Reinhart, and M. F. Zaeh
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.
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