Assessment of supplier performance based on product-development strategy by applying multi-granularity linguistic term sets

Shih-Yuan Wang, Sheng-Lin Chang and Reay-Chen Wang

Omega, 2009, vol. 37, issue 1, 215-226

Abstract: Measuring supplier performance possesses the properties of multi-dimension and multi-scale, it increases the complexity of the aggregation and assessment process. A focal company must develop an effective procedure for overcoming the complexity of performance measurement. Furthermore, the assessment of supplier performance must conform to the product-developed strategy of the focal company. This study is a further research deeper into the concept already introduced in Chang et al. [1] [Applying fuzzy linguistic quantifier to select supply chain partners at different phases of product life cycle. International Journal of Production Economics 2006; 100(2):348-59]; using multi-granularity linguistic variable and numerical ration scale to represent the overall supply performance. By unifying the derived information, the measurement complexity could be resolved. The fuzzy preference was constructed to adjust the consistent direction and transform information into fuzzy relationship. Finally, fuzzy linguistic quantifier guided ordered weighted aggregation (FLQG-OWA) operator with maximal entropy was computed and aggregated with all indicators to meet the current policy of the focal company.

Keywords: Supply; performance; Multi-granularity; linguistic; term; set; Fuzzy; multiple; attribute; decision; making; Fuzzy; linguistic; quantifier; Ordered; weighted; aggregation; operator; Product; life; cycle (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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