Evaluation of Cost-Effectiveness Criteria in Supply Chain Management: Case Study | Zendy

Reza Rostamzadeh | Zendy; Mahdi Sabaghi | Zendy; Ahmad Esmaili | Zendy

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Evaluation of Cost-Effectiveness Criteria in Supply Chain Management: Case Study

Author(s) -

Reza Rostamzadeh,

Mahdi Sabaghi,

Ahmad Esmaili

Publication year - 2013

Publication title -

advances in decision sciences

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.178

H-Index - 13

eISSN - 2090-3367

pISSN - 2090-3359

DOI - 10.1155/2013/873534

Subject(s) - vagueness , topsis , computer science , ranking (information retrieval) , ideal solution , fuzzy logic , supply chain , operations research , analytic hierarchy process , supply chain management , key (lock) , rank (graph theory) , mathematical optimization , data mining , artificial intelligence , mathematics , business , marketing , physics , computer security , combinatorics , thermodynamics

The aim of this paper is to evaluate and prioritize the proposed cost-effectiveness criteria in supply chain management using fuzzy multiple attribute decision-making (MADM) approach. Over the past few years, the determination of suitable cost-effectiveness criteria in the supply chain has become a key strategic issue. However, the nature of these kinds of decisions is usually complex and unstructured. Many quantitative and qualitative factors must be considered to determine the suitable criteria. As the human decision-making process usually contains fuzziness and vagueness, a hierarchy of MADM model based on fuzzy-sets theory is used in this research. Using a fuzzy analytic hierarchy process (FAHP), the weights of criteria and subcriteria are determined and then the final ranking is determined by technique for order preference by similarity to ideal solution (TOPSIS). Finally, fuzzy TOPSIS (FTOPSIS) is employed to compare the results with classic TOPSIS. This paper concludes that the subcriteria in all the items are in the same rank

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