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A novel framework to evaluate programmable logic controllers: a fuzzy MCDM perspective

Author

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  • Chih-Hsuan Wang

    (National Chiao Tung University)

  • Hui-Shan Wu

    (National Chiao Tung University)

Abstract

A programmable logic controller (PLC) is a real-time system operated in severe conditions such as high/low temperatures or tough environments with excessive electrical noise. In particular, a PLC is designed to connect and control multiple mechatronic devices such as facility sensors and actuators and thus the issue of selecting/assessing PLC suppliers is critically important to achieve automatic process control and facility monitoring. In reality, various MCDM (multi-criteria decision making) composed of MADM (multi-attribute) and MODM (multi-objective) based schemes are frequently adopted to tackle the problem of supplier selection. Nevertheless, most of them have the following demerits: (1) the causal dependences between main criteria (or associate attributes) are rarely considered (2) a large number of pairwise comparisons are usually required to conduct the evaluation process. Consequently, a novel framework combining fuzzy DEMATEL, fuzzy AHP, with fuzzy Delphi is proposed to overcome the aforementioned shortcomings. Without requiring tedious pairwise comparisons, the importance weights of main criteria (associated attributes) and the performance scores of PLC vendors are systematically fused into the whole evaluation process. Furthermore, an industrial example is demonstrated to assist PLC practitioners in assessing the top three suppliers, such as SIEMENS (31 %), Allen-Bradley (22 %) and Mitsubishi (13 %).

Suggested Citation

  • Chih-Hsuan Wang & Hui-Shan Wu, 2016. "A novel framework to evaluate programmable logic controllers: a fuzzy MCDM perspective," Journal of Intelligent Manufacturing, Springer, vol. 27(2), pages 315-324, April.
    • Handle: RePEc:spr:joinma:v:27:y:2016:i:2:d:10.1007_s10845-013-0863-6
    DOI: 10.1007/s10845-013-0863-6
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    References listed on IDEAS

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    1. Ho, William & Xu, Xiaowei & Dey, Prasanta K., 2010. "Multi-criteria decision making approaches for supplier evaluation and selection: A literature review," European Journal of Operational Research, Elsevier, vol. 202(1), pages 16-24, April.
    2. Erol, Ismail & Ferrell, William Jr., 2003. "A methodology for selection problems with multiple, conflicting objectives and both qualitative and quantitative criteria," International Journal of Production Economics, Elsevier, vol. 86(3), pages 187-199, December.
    3. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
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    Cited by:

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    2. Xuefeng Zhang, 2019. "User selection for collaboration in product development based on QFD and DEA approach," Journal of Intelligent Manufacturing, Springer, vol. 30(5), pages 2231-2243, June.

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