An Integrated Framework for Simulation and Analysis of Manual Assembly Process
| Autor: | Kyung-Hee Lee, Kyoung-Yun Kim, Sung-Jun Kang, Doo-Myun Lee, Sang Do Noh, Jong Youl Lee |
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| Přispěvatelé: | Sungkyunkwan University [Suwon] (SKKU), Wayne State University [Detroit], José Ríos, Alain Bernard, Abdelaziz Bouras, Sebti Foufou, TC 5, WG 5.1 |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Computer science Process (engineering) media_common.quotation_subject 05 social sciences Simulation modeling Integrated simulation Modeling and simulation 02 engineering and technology Decision rule Industrial engineering 020901 industrial engineering & automation Manual assembly Production flow Component (UML) Production (economics) 0501 psychology and cognitive sciences Quality (business) [INFO]Computer Science [cs] Utilization rate 050107 human factors Analysis framework media_common |
| Zdroj: | IFIP Advances in Information and Communication Technology 14th IFIP International Conference on Product Lifecycle Management (PLM) 14th IFIP International Conference on Product Lifecycle Management (PLM), Jul 2017, Seville, Spain. pp.162-173, ⟨10.1007/978-3-319-72905-3_15⟩ Product Lifecycle Management and the Industry of the Future ISBN: 9783319729046 PLM |
| DOI: | 10.1007/978-3-319-72905-3_15⟩ |
| Popis: | Part 3: PLM and Process Simulation; International audience; This research aims to build an integrated framework to analyze the production flow efficiency (in terms of worker utilization) of the manual machine component assembly process. Problems related to spontaneous decision making among the workers in the manual assembly processes which cause inconsistency in the manufacturing speed, productivity, and quality. Often it is difficult to simulate all the possible situations to reduce such inconsistencies. This study aims to suggest an alternative way by introducing a prediction framework that is integrated with Modeling and Simulation (M&S) and a CART algorithm. M&S is used to create different scenarios out of the original layout for comparison. The CART algorithm is utilized to extract decision rules from the simulation results. These decision rules provide an understanding of patterns that affect workers’ utilization rate. The research goal is to adopt the rules on the simulation models, and to offer guidelines on improved alternatives for building simulation models of manual assembly process. |
| Databáze: | OpenAIRE |
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