Olugu, Ezutah Udoncy and Wong, Kuan Yew (2012) An expert fuzzy rule-based system for closed-loop supply chain performance assessment in the automotive industry. Expert Systems with Applications, 39 (1). pp. 375-384. ISSN 0957-4174
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Official URL: http://dx.doi.org/10.1016/j.eswa.2011.07.026
Abstract
Closed-loop supply chain management has been identified as an efficient, effective and economical strategy towards environmental sustainable practices in manufacturing companies. Without a formidable closed-loop supply chain to complement green supply chain management, most of the goals will not be achieved. A performance evaluation system is crucial for achieving a successful closed-loop supply chain in the automotive industry. Hence, a suitable expert fuzzy rule-based system for evaluation was developed in this study using Visual Basic.Net. The fuzzy rules and arithmetic used were described. The resulting performance measurement system was evaluated using a case study company from the automotive industry. The study culminated with recommendations and proposal of directions for future studies.
Item Type: | Article |
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Uncontrolled Keywords: | closed-loop supply chain, fuzzy logic, green supply chain, performance measurement, rule-based system |
Subjects: | T Technology > TJ Mechanical engineering and machinery |
Divisions: | Mechanical Engineering |
ID Code: | 28679 |
Deposited By: | Yanti Mohd Shah |
Deposited On: | 16 Nov 2012 03:05 |
Last Modified: | 28 Jan 2019 03:38 |
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