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An expert fuzzy rule-based system for closed-loop supply chain performance assessment in the automotive industry

Olugu, E. U. and Wong, Kuan Yew (2011) 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
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: Liza Porijo
Deposited On:16 Nov 2012 03:05
Last Modified:16 Nov 2012 03:05

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