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AHPSort: an AHP-based method for sorting problems

delete2012-09-01
delete192
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OA
AI
A
Alessio Ishizaka *
C
Craig Pearman
P
Philippe Nemery
DOI:10.1080/00207543.2012.657966delete
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Abstract

Abstract

En 中文
Six problem formulations exist in the multi-criteria decision analysis (MCDA): choice, sorting, ranking, description, elimination and design problems. The analytic hierarchy process (AHP) is a useful and widespread method for solving choice and ranking problems. However, it is not adapted for sorting problems. Moreover, another practical limitation of AHP is that a high number of alternatives implies a large number of comparisons. This paper presents AHPSort, a new variant of AHP, used for the sorting of alternatives into predefined ordered categories. Furthermore, AHPSort requires far less comparisons than AHP, which facilitates decision making within large-scale problems. In this paper, a real case study for supplier selection is used to illustrate our approach. First, the candidates are sorted with AHPSort within two classes: accepted and rejected suppliers. Then, a single supplier is selected with AHP among the accepted suppliers.
Keywords:
AHP
AHPSort
MCDA
sorting
supplier selection
outsourcing

Journal

International Journal of Production Research cover
International Journal of Production Research
IF:
7.3
Papers:
1.1W
Citations:
3.7W

Organization

U
University of Portsmouth
Scholars:
5.1K
Papers: 5.5K
Citations: 9.2K
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