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An evolving fuzzy planning mechanism for a ubiquitous manufacturing system

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Abstract

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.

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Authors and Affiliations

  1. Department of Industrial Engineering and Management, National Chiao Tung University, 1001, University Road, Hsinchu, 300, Taiwan

    Toly Chen

  2. Department of Aeronautical Engineering, Chaoyang University of Technology, 168, Jifeng E. Rd., Wufeng District, Taichung, 41349, Taiwan

    Yu-Cheng Wang

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  1. Toly Chen
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  2. Yu-Cheng Wang
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Correspondence to Yu-Cheng Wang.

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Chen, T., Wang, YC. An evolving fuzzy planning mechanism for a ubiquitous manufacturing system. Int J Adv Manuf Technol 108, 2337–2347 (2020). https://doi.org/10.1007/s00170-020-05225-w

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  • DOI: https://doi.org/10.1007/s00170-020-05225-w

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