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Optimization on the shop floor - A business simulation Approach
Author(s) -
Patrick Pötters,
Robert Schmitt,
Bert Leyendecker,
Jasmin Ohlig
Publication year - 2020
Publication title -
international journal of industrial engineering and operations management
Language(s) - English
Resource type - Journals
eISSN - 2690-6104
pISSN - 2690-6090
DOI - 10.46254/j.ieom.20200103
Subject(s) - closing (real estate) , industrial engineering , field (mathematics) , manufacturing engineering , design of experiments , computer science , lead time , engineering , engineering drawing , operations management , mathematics , statistics , political science , pure mathematics , law
Assembly processes can be optimized with various methods. However, it is difficultto evaluate the effectiveness and interaction of these methods. To date, shop floorimprovement methods in series production, such as the methods under investigation5S, Poka Yoke, Kanban, and Standard Work Sheet, have not been scientificallyanalyzed using a business simulation. This study is aimed at closing this research gapby conducting a business simulation and analyzing the generated data using the designof experiments. This combination represents a new form of research. For the designof experiments, full factorial design with four factors was used. Lead time is selectedas the KPI. By analyzing the lean methods that were investigated in this study, bothmain effects and interactions were found. Results show that it is useful to apply atleast one optimization method, whereby Poka Yoke has the most significant impacton the lead time. Researchers in the field of optimization methods can base theirinvestigations on this study.

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