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

Elgazzar, S., Tipi, Nicoleta S., Hubbard, Nick J. and Leach, David Z. (2010) An application of fuzzy AHP to SCOR performance measures: a case study of an Egyptian natural bottled water company. In: Proceedings of the 15th Annual Logistics Research Network Conference. The Chartered Institute of Logistics and Transport UK, Northamptonshire, UK, pp. 180-187. ISBN 9781904564348

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

Item Type: Book Chapter
Subjects: H Social Sciences > HB Economic Theory
H Social Sciences > HD Industries. Land use. Labor
Schools: School of Applied Sciences
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Depositing User: Sara Taylor
Date Deposited: 05 Oct 2010 12:44
Last Modified: 21 Aug 2015 00:10


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