• 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