Supplier evaluation in manufacturing environment using compromise ranking method with grey interval numbers

Chatterjee, P.; Chatterjee, R.

Abstract: Evaluation of proper supplier for manufacturing organizations is one of the most challenging problems in real time manufacturing environment due to a wide variety of customer demands. It has become more and more complicated to meet the challenges of international competitiveness and as the decision makers need to assess a wide range of alternative suppliers based on a set of conflicting criteria. Thus, the main objective of supplier selection is to select highly potential supplier through which all the set goals regarding the purchasing and manufacturing activity can be achieved. Because of these reasons, supplier selection has got considerable attention by the academicians and researchers. This paper presents a combined multi-criteria decision making methodology for supplier evaluation for given industrial applications. The proposed methodology is based on a compromise ranking method combined with Grey Interval Numbers considering different cardinal and ordinal criteria and their relative importance. A ‘supplier selection index’ is also proposed to help evaluation and ranking the alternative suppliers. Two examples are illustrated to demonstrate the potentiality and applicability of the proposed method.

How to cite this paper

        APA: Chatterjee, P & Chatterjee, R. (2012). Supplier evaluation in manufacturing environment using compromise ranking method with grey interval numbers. International Journal of Industrial Engineering Computations, 3(3), 393-402.
    

        Chicago/Turabian: Chatterjee, P & Chatterjee, R. 2012. "Supplier evaluation in manufacturing environment using compromise ranking method with grey interval numbers." International Journal of Industrial Engineering Computations 3, no. 3 (2012): 393-402.
    

        AMA: Chatterjee, P & Chatterjee, R. Supplier evaluation in manufacturing environment using compromise ranking method with grey interval numbers. International Journal of Industrial Engineering Computations. 2012;3(3):393-402.
    

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