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Fuzzy performance measurement of a supply chain in manufacturing companies
Faculty
Science
Year:
2011
Type of Publication:
Article
Pages:
6681-6688
Authors:
El-Baz, M. Adel
DOI:
10.1016/j.eswa.2010.11.067
Journal:
EXPERT SYSTEMS WITH APPLICATIONS PERGAMON-ELSEVIER SCIENCE LTD
Volume:
38
Research Area:
Computer Science; Engineering; Operations Research \& Management Science
ISSN
ISI:000288343900034
Keywords :
Performance measurement, Manufacturing companies, Fuzzy decision making, Departmental organization, Analytical Hierarchy Process (AHP)
Abstract:
This paper is aimed to present a fuzzy decision making approach to deal with the performance measurement in supply chain systems. In the manufacturing environment, performance measurement is based on different quantitative and qualitative factors. Some of these factors may have a larger effect on the performance measure than others. Units of measure of the quantitative factors are different such as time, money, percentage, ratio, and counts. Thus, this paper presents a performance measurement approach based on fuzzy set theory and the pair-wise comparison of Analytical Hierarchy Process (AHP), which ensures the consistency of the designer's assignments of importance of one factor over another to find the weight of each of the manufacturing activity in the departmental organization. In the proposed model, various input factors have been selected, and treated as a linear membership function of fuzzy type. It is tested on a numerical example. The approach provides an effective decision tool for the performance measurement of a supply chain in manufacturing environment. (C) 2010 Elsevier Ltd. All rights reserved.
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