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

Chih-Hsuan Wang () and Hui-Shan Wu
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Chih-Hsuan Wang: National Chiao Tung University
Hui-Shan Wu: National Chiao Tung University

Journal of Intelligent Manufacturing, 2016, vol. 27, issue 2, No 3, 315-324

Abstract: 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 %).

Keywords: PLC evaluation; MCDM; Fuzzy AHP; Fuzzy DEMATEL; Fuzzy Delphi (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10845-013-0863-6

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