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Comparison of OR and AI methods in discrete manufacturing using fuzzy logic

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Abstract

Since 1950s the techniques of Operations Research (OR) and Optimization have been utilized to increase the efficiency of the production systems. With the widespread use of computers, it has even become easier to deal with industrial problems. However the complexity of the problems still reveals the difficulty in providing solutions. The use of artificial intelligence (AI) seems to attract the attention of the researcher to overcome to the difficulties. This has already been realized with several successful applications. In this study, the use of AI and OR techniques is compared using fuzzy logic. The progress of manufacturing systems, characteristics of production processes, system managements and system behavior are taken into account. The study is focussed on only discrete manufacturing.

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Authors and Affiliations

  1. Department of Industrial Engineering, Sakarya University, 54040, Esentepe—Adapazari, Turkey

    Cemalettin Kubat, Harun Taşkin & Bayram Topal

  2. Faculty of Education, Izzet Baysal University, Bolu, Turkey

    Safiye Turgay

Authors
  1. Cemalettin Kubat
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  2. Harun Taşkin
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  3. Bayram Topal
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  4. Safiye Turgay
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Kubat, C., Taşkin, H., Topal, B. et al. Comparison of OR and AI methods in discrete manufacturing using fuzzy logic. Journal of Intelligent Manufacturing 15, 517–526 (2004). https://doi.org/10.1023/B:JIMS.0000034115.63358.7e

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  • DOI: https://doi.org/10.1023/B:JIMS.0000034115.63358.7e

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