Journal
FACTORIES OF THE FUTURE IN THE DIGITAL ENVIRONMENT
Volume 57, Issue -, Pages 479-486Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.procir.2016.11.083
Keywords
Change impact; Manufacturing Change Management; Structural modeling; DSM; Engineering systems; Change propagation; Graph model
Funding
- German Research Foundation (DFG) [SFB 768]
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Manufacturing systems are subject to frequent changes caused by technology and product innovation, varying demand, shifted product mix, continuous improvement initiatives, or regular substitutions of outworn equipment and machines. Elements within a manufacturing system are connected by a complex network of relations such as material flow, technological dependencies, infrastructure, and intangible cause-and-effect chains. Depending on the scale of changes they may also interfere with engineering, procurement, logistics, or even manufacturing strategy. Thus, the total impact in terms of expected costs and required time for planning and implementation of those manufacturing changes is hard to predict. The objective of this paper is to provide a decision support for manufacturing change management and to enable a thorough analysis of changes in manufacturing systems. Although the topic of change propagation received considerable attention in product development in order to quantify the knock-on effects of engineering changes, comparable endeavors have not yet been made in the field of manufacturing science. Following a review of prevailing approaches from product development and manufacturing literature, a model-based approach for the prediction and assessment of change propagation in manufacturing systems is presented. Applied structural modeling techniques, the derived graph algorithm, and the proposed procedure of the approach are outlined. Finally, an industrial case study is presented to demonstrate the potential but also the limitations in practice. (C) 2016 The Authors. Published by Elsevier B.V.
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