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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
    Related URLs:
    Depositing User: Sara Taylor
    Date Deposited: 05 Oct 2010 13:44
    Last Modified: 22 Oct 2012 10:27


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