Title: A novel framework to evaluate programmable logic controllers: a fuzzy MCDM perspective
Authors: Wang, Chih-Hsuan
Wu, Hui-Shan
工業工程與管理學系
Department of Industrial Engineering and Management
Keywords: PLC evaluation;MCDM;Fuzzy AHP;Fuzzy DEMATEL;Fuzzy Delphi
Issue Date: Apr-2016
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 %).
URI: http://dx.doi.org/10.1007/s10845-013-0863-6
http://hdl.handle.net/11536/133456
ISSN: 0956-5515
DOI: 10.1007/s10845-013-0863-6
Journal: JOURNAL OF INTELLIGENT MANUFACTURING
Volume: 27
Issue: 2
Begin Page: 315
End Page: 324
Appears in Collections:Articles