標題: An evolving fuzzy planning mechanism for a ubiquitous manufacturing system
作者: Chen, Toly
Wang, Yu-Cheng
工業工程與管理學系
Department of Industrial Engineering and Management
關鍵字: Evolving fuzzy;Ubiquitous manufacturing;Diversifying fuzzy analytic hierarchy process;Genetic algorithm;Fuzzy technique for order preference by similarity to the ideal solution
公開日期: 1-六月-2020
摘要: Existing ubiquitous manufacturing (UM) systems usually plan production and logistics simultaneously to enhance efficiency. A UM system can be further benefited by pursuing economical fabrication, improving product quality, and enhancing partner relationships, which involves possibly conflicting goals, but has rarely been investigated. To address this, an evolving fuzzy approach is proposed in this study by hybridizing diversifying fuzzy analytic hierarchy process (DFAHP), genetic algorithm (GA), and fuzzy technique for order preference by similarity to the ideal solution (FTOPSIS). The evolving fuzzy approach has been applied to a UM system. The superiority of the evolving fuzzy approach over existing methods in meeting various goals was successfully demonstrated by the experimental results.
URI: http://dx.doi.org/10.1007/s00170-020-05225-w
http://hdl.handle.net/11536/154521
ISSN: 0268-3768
DOI: 10.1007/s00170-020-05225-w
期刊: INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
Volume: 108
Issue: 7-8
起始頁: 2337
結束頁: 2347
顯示於類別:期刊論文