Supplier selection considering strategic and operational risks: a combined qualitative and quantitative approach

被引：9

作者：

Nekooie M.A. ^{[1
]}

Sheikhalishahi M. ^{[1
]}

Hosnavi R. ^{[1
]}

机构：

[1] Department of Emergency Management, Malek-Ashtar University of Technology, Tehran

来源：

Production Engineering | 2015年 / 9卷 / 5-6期

关键词：

Fuzzy goal programming; Qualitative and quantitative approach; Strategic and operational risk; Supplier selection;

D O I：

10.1007/s11740-015-0643-6

中图分类号：

学科分类号：

摘要：

This paper proposes a combined qualitative and quantitative approach for supplier selection problem. Multi-component product is considered in which various suppliers could provide each required part. A multi-objective mathematical model is developed to decide about the preferred supplier as well as the purchasing quantity of each part from each selected supplier. Strategic and operational risks are taken into account. In order to handle qualitative risk factors analytic network process is used. Two quantitative risk factors including delay and defect are considered. In addition, the quality of the final product is taken into account. To enable the decision maker to make preferred trade-offs between objectives a fuzzy goal programming approach with soft priorities between objectives is applied. The capability and effectiveness of the proposed model is validated through a case study. © 2015, German Academic Society for Production Engineering (WGP).

引用

页码：665 / 673

页数：8

共 27 条

[1]

Wu C., Barnes D., A literature review of decision-making models and approaches for partner selection in agile supply chains, J Purch Supply Manag, 17, pp. 256-274, (2011)

[2]

Sawik T., Selection of supply portfolio under disruption risks, Omega, 39, pp. 194-208, (2011)

[3]

Sawik T., Selection of resilient supply portfolio under disruption risks, Omega, 41, pp. 259-269, (2013)

[4]

Dickson G.W., An analysis of vendor selection systems and decisions, J Purch, 2, 1, pp. 5-17, (1966)

[5]

Aksoy A., Ozturk N., Supplier selection and performance evaluation in just- in-time production environments, Expert Syst Appl, 38, 5, pp. 6351-6359, (2011)

[6]

Kuo R.J., Lee L.Y., Hu T.L., Developing a supplier selection system through integrating fuzzy AHP and fuzzy DEA: a case study on an auto lighting system company in Taiwan, Prod Plan Control, 21, 5, pp. 468-484, (2010)

[7]

Chai J., Liu J.N.K., Ngai E.W.T., Application of decision-making techniques in supplier selection: a systematic review of literature, Expert Syst Appl, 40, 10, pp. 3872-3885, (2013)

[8]

William H., Xiaowei X., Prasanta K.D., Multi-criteria decision making approaches for supplier evaluation and selection: a literature review, Eur J Oper Res, 202, 1, pp. 16-24, (2010)

[9]

Vidalis M., Vrisagotis V., Varlas G., Performance evaluation of a two-echelon supply chain with stochastic demand, lost sales, and Coxian-2 phase replenishment times, Int Trans Oper Res, 21, 4, pp. 649-671, (2014)

[10]

Berman O., Kim E., Dynamic inventory strategies for profit maximization in a service facility with stochastic service, demand and lead time, Math Methods Oper Res, 60, 3, pp. 497-521, (2004)

← 1 2 3 →