Title of article :
An expert fuzzy rule-based system for closed-loop supply chain performance assessment in the automotive industry
Author/Authors :
Olugu، نويسنده , , Ezutah Udoncy and Wong، نويسنده , , Kuan Yew، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2012
Pages :
10
From page :
375
To page :
384
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.
Keywords :
Fuzzy Logic , Rule-based System , Green supply chain , Closed-loop supply chain , Performance Measurement
Journal title :
Expert Systems with Applications
Serial Year :
2012
Journal title :
Expert Systems with Applications
Record number :
2350820
Link To Document :
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