考虑供应链风险和绩效的供应商选择的模糊动态非线性多目标规划模型

doi:10.12005/orms.2018.0084

运筹与管理 ›› 2018, Vol. 27 ›› Issue (4): 50-56.DOI: 10.12005/orms.2018.0084

考虑供应链风险和绩效的供应商选择的模糊动态非线性多目标规划模型

陈浩东¹, 王志平²

1.河南财经政法大学电子商务与物流管理学院,河南郑州 450046;
2.大连海事大学交通运输管理学院,辽宁大连 116026

收稿日期:2014-10-12 出版日期:2018-04-25
作者简介:陈浩东(1986-),男,河南商丘人,讲师,研究方向:供应链管理、风险管理等。
基金资助:
河南财经政法大学重大科研项目(跨境电子商务与跨境物流协同发展研究)

Fuzzy Dynamic Non-linear Multiple Objective Model for SupplierSelection with Supply Chain Visibility and Risk

CHEN Hao-dong¹, WANG Zhi-ping²

1.E-Commence and Logistics Management College, Henan University of Economics and Law, Zhengzhou 450046, China;
2.Transportation Management College, Dalian Maritime University, Dalian 116026, China

Received:2014-10-12 Online:2018-04-25

摘要/Abstract

摘要： 基于供应链风险和供应链绩效的模糊性和供应商选择问题的动态性,本文考虑供应链风险和供应链绩效作为模糊变量,讨论如何给生产商一个满意的动态多目标供应商选择方案,确定供应链风险和总成本最小,以及供应链绩效最大。然后对该问题提出了一个动态多目标多产品供应商选择模型,该模型是首次同时考虑供应商选择,订单分配,供应链风险和供应链绩效的一个模糊动态非线性多目标规划模型。为了去模糊化和求解该模型,给出了一个风险和绩效的模糊评估法。最后给出一个数值算例验证了该模型的可行性,为决策者选择供应商提供了理论依据。

关键词: 动态供应商选择, 非线性多目标规划, 供应链绩效, 供应链风险, 模糊集理论

Abstract: Based on fuzzy in nature on supply chain visibility (SCV) and supply chain risk (SCR) and dynamic on supplier selection problem, and considering SCV and SCR for fuzzy parameters, this paper discusses how to come up with a satisfying proposal on dynamic supplier selection and how to minimize SCR and total cost,maximize SCV. And then a fuzzy dynamic non-linear multi-objective model for supplier selection with supply chain visibility and risk is proposed,and to our knowledge, this model is the first effort to consider supplier selection, order allocation, SCR and SCV, simultaneously. In order to defuzzify and solve this fuzzy model, a fuzzy approach of risk and visibility evaluation is proposed. Finally a numerical example is illustrated to show that the proposed model is feasible and effective, and the analysis of this model provides the theory basis for the vendor selection.

Key words: dynamic supplier selection, non-linear multiple objective programming, supply chain visibility, supply chain risk, fuzzy sets theory

中图分类号:

F274

陈浩东, 王志平. 考虑供应链风险和绩效的供应商选择的模糊动态非线性多目标规划模型[J]. 运筹与管理, 2018, 27(4): 50-56.

CHEN Hao-dong, WANG Zhi-ping. Fuzzy Dynamic Non-linear Multiple Objective Model for SupplierSelection with Supply Chain Visibility and Risk[J]. Operations Research and Management Science, 2018, 27(4): 50-56.

参考文献

[1]Wagner S M, Neshat N. Assessing the vulnerability of supply chains using graph theory[J]. Int. J. Production Economics, 2010, 126: 121-129.
[2]Tadeusz Sawik. Supplier selection in make-to-order environment with risks[J]. Mathematical and Computer Modelling, 2011, 53: 1670-1679.
[3]Barlett P A, Julien D, Baines T S. Improving supply chain performance through improved visibility[J]. International Journal of Logistics Management, 2007, 18(2): 294-313.
[4]Enslow B. Global supply chain benchmark report: industry priorities for visibility, B2B, collaboration, trade, compliance, and risk management[M]. Aberdeen Group, 2006.
[5]Delen D, Hardgrave B C, Sharda R. RFID for better supply-chain management through enhanced information visibility[J]. Production and Operations Management, 2007, 16(5): 613-624.
[6]Zhou W. RFID and item-level information visibility[J]. European Journal of Operational Research, 2009, 198(1): 252-258.
[7]Dickson G W. Analysis of vendor selection systems and decisions[J]. Journal of Purchasing, 1966, (2): 5-17.
[8]刘诚,卢宗娟,梁文冬.模糊环境下供应商选择[J].系统工程,2011,29(4):104-108.
[9]Sucky E. A model for dynamic strategic vendor selection[J]. Computers & Operations Research, 2007, 34: 3638-3651.
[10]Liao Z Y, Rittscher J. Integration of supplier selection, procurement lot sizing and carrier selection under dynamic demand conditions[J]. Int. J. Production Economics, 2007, 107: 502-510.
[11]Li S L, Murat A, Huang W Z. Selection of contract suppliers under price and demand uncertainty in a dynamic market[J]. European Journal of Operational Research, 2009, 198: 830-847.[12]Tsai Y L, Yang Y J, Lin C H. A dynamic decision approach fo supplier selection using ant colony system[J]. Expert Systems with Applications, 2010, 37: 8313-8321.
[13]Mafakheri F, Breton M, Ghoniem A. Supplier selection-order allocation: a two-stage multiple criteria dynamic programming approach[J]. Int. J. Production Economics, 2011, 132: 52-57.
[14]Ventura J A, Valdebenito V A, Golany B. A dynamic inventory model with supplier selection in a serial supply chain structure[J]. European Journal of Operational Research, 2013, 230: 258-271.
[15]Nilesh R W, Singh S P, Banwet D K. A mixed-integer non-linear program to model dynamic supplier selection problem[J]. Expert Systems with Applications, 2014, 41: 671-678.
[16]赵娟,陈华友.基于模糊需求的多产品供应商选择的多目标规划模型[J].模糊系统与数学,2011,25 (4):148-155.
[17]Amin A, Razmi J. An integrated fuzzy model for supplier management: a case study of ISP selection and evaluation[J]. Expert Systems with Applications, 2009, 36(4): 8639-8648.
[18]Manuj I, Mentze J. Global supply chain risk management[J]. Journal of Business Logistics, 2008, 29(1): 133-155.
[19]Yu M C, Mark G. A multi-objective approach to supply chain visibility and risk[J]. European Journal of Operational Research, 2014, 233: 125-130.

考虑供应链风险和绩效的供应商选择的模糊动态非线性多目标规划模型

Fuzzy Dynamic Non-linear Multiple Objective Model for SupplierSelection with Supply Chain Visibility and Risk

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