Multicriteria Supplier Classification for DSS: Comparative Analysis of Two Methods | Zendy

Juan M. Sepúlveda | Zendy; Iván Dérpich | Zendy

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Multicriteria Supplier Classification for DSS: Comparative Analysis of Two Methods

Author(s) -

Juan M. Sepúlveda,

Iván Dérpich

Publication year - 2015

Publication title -

international journal of computers communications and control

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.422

H-Index - 33

eISSN - 1841-9844

pISSN - 1841-9836

DOI - 10.15837/ijccc.2015.2.1755

Subject(s) - electre , multiple criteria decision analysis , computer science , sorting , fuzzy logic , analytic hierarchy process , supply chain management , process (computing) , operations research , supply chain , data mining , artificial intelligence , mathematics , business , marketing , programming language , operating system

In this paper the analysis of two multicriteria decision making (MCDM) methods for sorting suppliers in industrial environments is presented. The MCDM methods correspond to Electre and FlowSort and both are applied to the classification of providers in an actual case of the local softdrink bottling industry in Chile. The results show that Electre as an outranking method it may well classify suppliers in a similar manner as FlowSort does. Nevertheless, due to the intrinsic underlying fuzzy multicriteria nature of the problem, FlowSort is found to be more suitable method for building a rule-based system based on preference functions for automating the process of suppliers clustering when developing strategies of relationship management in the sense of the Kraljic categories in supply chain management.

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