A multiple criteria decision making technique for supplier selection and inventory management strategy: A case of multi-product and multi-supplier problem

Parhizkari, M.; Amirib, M.; Mousakhani, M.

Growing Science » Decision Science Letters » A multiple criteria decision making technique for supplier selection and inventory management strategy: A case of multi-product and multi-supplier problem

Journals

DSL Volumes

Volume 1 (10)
- Issue 1 (5)
- Issue 2 (5)

Volume 2 (30)
- Issue 1 (5)
- Issue 2 (6)
- Issue 3 (9)
- Issue 4 (10)

Volume 3 (53)
- Issue 1 (15)
- Issue 2 (10)
- Issue 3 (19)
- Issue 4 (9)

Volume 4 (48)
- Issue 1 (10)
- Issue 2 (12)
- Issue 3 (14)
- Issue 4 (12)

Volume 5 (39)
- Issue 1 (12)
- Issue 2 (10)
- Issue 3 (8)
- Issue 4 (9)

Volume 6 (30)
- Issue 1 (8)
- Issue 2 (6)
- Issue 3 (9)
- Issue 4 (7)

Volume 7 (41)
- Issue 1 (8)
- Issue 2 (8)
- Issue 3 (8)
- Issue 4 (17)

Volume 8 (38)
- Issue 1 (8)
- Issue 2 (6)
- Issue 3 (14)
- Issue 4 (10)

Volume 9 (39)
- Issue 1 (8)
- Issue 2 (9)
- Issue 3 (14)
- Issue 4 (8)

Volume 10 (43)
- Issue 1 (7)
- Issue 2 (8)
- Issue 3 (20)
- Issue 4 (8)

Volume 11 (49)
- Issue 1 (9)
- Issue 2 (9)
- Issue 3 (14)
- Issue 4 (17)

Volume 12 (64)
- Issue 1 (12)
- Issue 2 (24)
- Issue 3 (13)
- Issue 4 (15)

Volume 13 (78)
- Issue 1 (21)
- Issue 2 (18)
- Issue 3 (19)
- Issue 4 (20)

Countries

Decision Science Letters

ISSN 1929-5812 (Online) - ISSN 1929-5804 (Print) Quarterly Publication Volume 2 Issue 3 pp. 185-190 , 2013

A multiple criteria decision making technique for supplier selection and inventory management strategy: A case of multi-product and multi-supplier problem Pages 185-190 Download PDF

Authors: Morteza Parhizkari, Maghsoud Amirib, Morteza Mousakhani

DOI: 10.5267/j.dsl.2013.04.003

Keywords: LP-Norm, Inventory management, NSGA-II, Supplier selection

Abstract: Selection of an appropriate supplier along with planning a good inventory system has become an area of open research for the past few years. In this paper, we present a multi objective decision making supplier and inventory management model where two objectives including the quality and offering price of supplier are minimized, simultaneously. The proposed model is formulated as mixed integer programming and it is converted into an ordinary single objective function using Lp-Norm. In order to find efficient solution, we use NSGA-II as meta-heuristic technique and the performance of the proposed model is examined using some instances. The preliminary results indicate that both Lp-Norm and NSGA-II methods can be used to handle problems in various sizes.

How to cite this paper

 Parhizkari, M., Amirib, M & Mousakhani, M. (2013). A multiple criteria decision making technique for supplier selection and inventory management strategy: A case of multi-product and multi-supplier problem.Decision Science Letters , 2(3), 185-190.

Refrences

Buffa, F.P., & Ross A.D. (2011). Measuring the consequences of using diverse supplier evaluation teams: A performance frontier perspective. Journal of Business Logistics, 32(1), 55-68.

Chen, Y.J. (2011). Structured methodology for supplier selection and evaluation in a supply chain. Information Sciences, 181(9), 1651–1670.

Deb, K., Agrawal, S., Pratap, A., Meyarivan, T. (2000). A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. In: proceedings of the parallel problem solving from nature VI (PPSN-VI) conference, 849-858.

Lin, R.H., Chuang, C.L., Liou, J.H., & Wu, G.D. (2009). An integrated method for finding key suppliers in SCM. Expert Systems with Applications, 36(3), 6461-6465.

Liu, J., Ding, F.Y., & Lall, V. (2000). Using data envelopment analysis to compare suppliers for supplier selection and performance improvement. Supply Chain Management: An International Journal, 5(3), 143-150.

Khodadadzadeh, T., & Sadjadi, S.J. (2013). A state-of-art review on supplier selection problem. Decision Science Letters, 2(1), 59-70.

Noorizadeh, A., Mahdiloo, M., & Farzipoor Saen, F. (2013). Using DEA cross–efficiency evaluation for suppliers ranking in the presence of non–discretionary inputs. International Journal of Shipping and Transport Logistics, 5(1), 95-111.

Rabbani, M. (2009). A new comprehensive framework for ranking accepted orders and supplier selection in make-to-order environments. Computers & Industrial Engineering, 919-924.

Ramanathan, R. (2007). Supplier selection problem: integrating DEA with the approaches of total cost of ownership and AHP. Supply Chain Management: An International Journal, 12(4), 494-509.

Toloo, M., & Nalchigar, S. (2011). A new DEA method for supplier selection in presence of both cardinal and ordinal data. Expert Systems with Applications, 38(12), 14726-14731.

Wen, U.P., & Chi, J.M. (2010). Developing green supplier selection procedure: A DEA approach. Industrial Engineering and Engineering Management (IE & EM), 70-74.

Wong, W.p., & Wong, K.Y. (2007). Supply chain performance measurement system using DEA modeling. Industrial Management & Data Systems. 107(3). 361-381.

Xu, J., Li, B., & Wu, D. (2009). Rough data envelopment analysis and its application to supply chain performance evaluation. International Journal of Production Economics, 122(2), 628-638.