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An application of fuzzy AHP to SCOR performance measures: a case study of an Egyptian natural\ud bottled water company

By S. Elgazzar, Nicoleta S. Tipi, Nick J. Hubbard and David Z. Leach

Abstract

Purpose\ud This paper proposes a method which incorporates the fuzzy analytic hierarchy process approach\ud (Fuzzy AHP) and the supply chain operations reference-model (SCOR) to evaluate and improve the\ud performance of supply chain operations.\ud Research Approach\ud The performance of supply chain operations was measured using a performance measurement tool\ud that combines SCOR Model and the fuzzy AHP technique.\ud To demonstrate the applicability of the proposed approach, a case study of an Egyptian Natural\ud Bottled Water Company was conducted.\ud Findings and Originality\ud This paper developed a method to quantify the SC performance through quantifying: SC\ud measurement criteria, environmental uncertainty, and subjective judgments of SC performance\ud evaluators. Applying this method can be an objective tool to evaluate and improve the performance of\ud SC operations.\ud Research Impact\ud The proposed method is based on quantifying the SC performance through: (i) describing the\ud characteristics and the structure of the supply chain (ii) identifying the main processes and sub\ud processes in the supply chain and mapping these processes to SCOR Model process IDs, (iii)\ud identifying the corresponding performance measurement attributes for the previous mapped\ud processes based on the SCOR Model standard performance metrics, (iv) determining the relative\ud importance weight of each attribute using fuzzy pair wise comparison, (v) assigning a performance\ud rate for each attribute using performance rating scale. (vi) consequently, calculating the weighted rate\ud for each attribute by multiplying the importance weight of each attribute by its performance rate. (vii)\ud Finally, aggregating the weighted rate for each attribute across all SC performance measurement\ud attributes using the weighted averaging aggregation method to determine the performance index of\ud the company’s supply chain.\ud Since each SC performance measurement attribute has weighted rate and corresponds to certain\ud processes in the SC, SC processes that need improvement can be identified and the overall SC\ud performance, in terms of SC index, can be evaluated.\ud Practical Impact\ud This method allows organisations to assess and improve the effectiveness and efficiency of supply\ud chain operations in meeting supply chain goals and to contribute to overall improvement in the\ud company’s performance through identifying SC processes that are working well and areas where the\ud supply chain might need improvement

Topics: HB, HD
Publisher: The Chartered Institute of Logistics and Transport UK
Year: 2010
OAI identifier: oai:eprints.hud.ac.uk:8764

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