Green supplier selection and order allocation: a nonlinear stochastic model

被引：0

作者：

Hashemzahi, Pooria ^{[1
,2
]}

Azadnia, Amirhossein ^{[3
]}

Galankashi, Masoud Rahiminezhad ^{[1
,4
]}

Helmi, Syed Ahmad ^{[1
,5
]}

Rafiei, Farimah Mokhatab ^{[4
]}

机构：

[1] Univ Teknol Malaysia, Fac Mech Engn, Dept Mat Mfg & Ind Engn, Skudai, Johor, Malaysia

[2] Kharazmi Univ, Dept Ind Engn, Fac Engn, Tehran, Iran

[3] Islamic Azad Univ, Ayatollah Amoli Branch, Dept Ind Engn, Amol, Iran

[4] Tarbiat Modares Univ, Dept Ind Engn, Tehran, Iran

[5] Univ Teknol Malaysia, Ctr Engn Educ, Skudai, Johor, Malaysia

来源：

INTERNATIONAL JOURNAL OF VALUE CHAIN MANAGEMENT | 2020年 / 11卷 / 02期

关键词：

green supplier selection; fuzzy analytic hierarchy process; FAHP; genetic algorithm; GA; stochastic supplier selection; Malaysia; ANALYTIC NETWORK PROCESS; DECISION; CRITERIA; CHAIN; INDUSTRY;

D O I：

暂无

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

Supplier selection and order allocation is a complex managerial decision in today's competitive markets. As an important section of this area, green supplier section has been properly focused in previous literature. However, joint supplier selection and order allocation under stochastic demand is less investigated. Firstly, a fuzzy analytic hierarchy process (FAHP) is applied to weight and select suppliers in terms of economic and environmental criteria. Secondly, a multi-objective nonlinear programming (MONLP) is developed and solved by genetic algorithm (GA) for the aim of order allocation. Findings of this study assist managers to systemically deal with the real-world problem of green supplier selection with different priorities and order quantities.

引用

页码：111 / 138

页数：28

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