Title :
Measure Product-Driven Supply Chain Performance Using MEOWA
Author :
Min Zhou ; Jia-zhen Huo
Author_Institution :
Sch. of Econ. & Manage., Tongji Univ., Shanghai
Abstract :
We hold that supply chain strategy should match with product characteristics; moreover performance measurement system should be designed to reflect the match, which increases the complexity of the aggregation and assessment process. This paper describes the differences between agile and lean supply chain characteristics driven by different product strategies. Then, a method of Maximum Entropy OWA (MEOWA) operator with fuzzy linguistic quantifier is presented to satisfy the complexity during the match of supply chain and product strategies. The method presented in this paper is applicable and easy to be applied.
Keywords :
fuzzy set theory; maximum entropy methods; supply chain management; fuzzy linguistic quantifier; maximum entropy OWA; performance measurement system; product-driven supply chain; Arithmetic; Calculus; Constraint optimization; Decision making; Entropy; Fuzzy logic; Measurement; Open wireless architecture; Supply chain management; Supply chains;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
DOI :
10.1109/WiCom.2008.1489