Multiple Attribute Decision-Making Model for Supplier Selection in Service-Oriented Manufacturing Paradigm
Author(s) -
Feng Lyu,
Yanghang Zhang,
Zhuangzhuang Feng,
Ruoyan Ding,
Jianxin Su
Publication year - 2021
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2021/5561299
Subject(s) - correctness , ranking (information retrieval) , entropy (arrow of time) , computer science , interval (graph theory) , selection (genetic algorithm) , construct (python library) , operations research , decision model , decision matrix , decision making models , data mining , artificial intelligence , engineering , machine learning , mathematics , algorithm , physics , quantum mechanics , combinatorics , programming language
This paper proposes a multiattribute decision-making model for supplier selection under the service-oriented manufacturing, which can be used to effectively evaluate each candidate supplier. The supplier selection index system under the service-oriented manufacturing is proposed, and the interval evaluation matrix is established. In view of the mixed attribute of evaluation index, we construct a method that converts mixed attribute value to interval number. In order to avoid the subjectivity of the weight and make alternatives be provided with more discrimination, we use a combination model based on the deviation function model and the interval relative entropy ranking method to evaluate each candidate supplier. Finally, an application example is given to verify the correctness and practicability of the proposed decision-making model.
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