Abstract | ||
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Manufacturing systems exhibit two types of synchronisation phenomena: logistics and physics. Previous research has established synchronisation measures for both types and has shown that they are related to the due date performance. However, there is a lack of knowledge about the factors triggering synchronisation emergence as well as a holistic understanding of synchronisation effects on logistics performance. Thus, this research aims to further explore the relation between synchronisation, its influencing factors and its effect on logistics performance. Based on a profound literature review, we derive first hypotheses on the cause-and-effect-relationships between structural and dynamic properties of a manufacturing system and the emergence of logistics and physics synchronisation as well as logistics performance. By conducting a discrete-event simulation study on diverse manufacturing system types (line, flow shop and job shop production), we are able to test these hypotheses. We conclude that manufacturing network architecture as a structural property as well as processing time variability and system workload as dynamic properties may be exploited for an advanced and synchronisation-oriented manufacturing system design. |
Year | DOI | Venue |
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2018 | 10.1080/00207543.2017.1400707 | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH |
Keywords | DocType | Volume |
dynamics, production system, discrete-event simulation, due date performance, production planning and control, manufacturing system design | Journal | 56 |
Issue | ISSN | Citations |
14 | 0020-7543 | 0 |
PageRank | References | Authors |
0.34 | 6 | 3 |
Name | Order | Citations | PageRank |
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Stanislav Chankov | 1 | 0 | 0.34 |
Marc-Thorsten Hütt | 2 | 90 | 13.65 |
Julia Bendul | 3 | 0 | 0.34 |