A new hybrid decision making system for supplier selection
RAIRO - Operations Research - Recherche Opérationnelle, Volume 50 (2016) no. 3, pp. 645-664.

The objective of this paper is to develop a hybrid decision making system using Data Envelopment Analysis (DEA) and linguistic fuzzy models for selecting the best supplier in the presence of multiple decision makers. In this hybrid system, first the weights of selected criteria are obtained from each of the decision makers as linguistic fuzzy numbers within the framework of group decision making. Then, to select the best supplier, absolute weight restriction (AWR) model is incorporated into the DEA model. A real case study demonstrates the application of the model.

Received:
Accepted:
DOI: 10.1051/ro/2015051
Classification: 90B50
Keywords: Supplier selection, group decision making, linguistic fuzzy number, DEA, absolute weight restriction model
Jassbi, J. 1; Farzipoor Saen, R. 2; Hosseinzadeh Lotfi, F. 1; Hosseininia, Sh. S. 1

1 Department of Industrial Management, Science and Research Branch, Islamic Azad University, Tehran, Iran.
2 Department of Industrial Management, Faculty of Management and Accounting, Karaj Branch, Islamic Azad University, Karaj, Iran.
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Jassbi, J.; Farzipoor Saen, R.; Hosseinzadeh Lotfi, F.; Hosseininia, Sh. S. A new hybrid decision making system for supplier selection. RAIRO - Operations Research - Recherche Opérationnelle, Volume 50 (2016) no. 3, pp. 645-664. doi : 10.1051/ro/2015051. http://archive.numdam.org/articles/10.1051/ro/2015051/

M.J. Asgharpour, Multiple criteria decision making. Tehran University Publications, Tehran (in Persian) (2000).

M. Azadi, M. Jafarian, R. Farzipoor Saen and M. Mirhedayatian, A new fuzzy DEA model for evaluation of efficiency and effectiveness of suppliers in sustainable supply chain management context. Comput. Oper. Res. 54 (2015) 274–285. | DOI | MR | Zbl

R.D. Banker, A. Charnes and W.W. Cooper, Some methods for estimating technical and scale inefficiencies in data envelopment analysis. Manage. Sci. 30 (1984) 1078–1092. | DOI | Zbl

O. Bayazit, Use of analytic network process in vendor selection decisions. Benchmarking 13 (2006) 566–579. | DOI

M. Braglia and A. Petroni, A quality assurance oriented methodology for handling trade-offs in supplier selection. Int. J. Phys. Distrib. Logistics Manage. 30 (2000) 96–111. | DOI

M.E. Bross and G. Zhao, Supplier selection process in emerging markets – The case study of Volvo bus corporation in China. M.Sc. thesis, School of Economics and Commercial Law Göteborg University (2004).

F. Çebi and D. Bayraktar, An integrated approach for supplier selection. Logistics Inform. Manage. 16 (2003) 395–400. | DOI

A. Charnes, W.W. Cooper and E. Rhodes, Measuring the efficiency of decision making units. Eur. J. Oper. Res. 2 (1978) 429–444. | DOI | MR | Zbl

C.T. Chen, C.T. Lin and S.F. Huang, A fuzzy approach for supplier evaluation and selection in supply chain management. Int. J. Prod. Econ. 102 (2006) 289–301. | DOI

K.L. Choy, W.B. Lee and V. Lo, Design of an intelligent supplier relationship management system: A hybrid case based neural network approach. Expert Syst. Appl. 24 (2003) 225–237. | DOI

W.W. Cooper, L.M. Seiford and K. Tone, Data Envelopment Analysis: A comprehensive text with models, applications, references, and DEA solver software, 2nd edition. Springer Science and Business Media, LLC (2007). | Zbl

N.E. Dahel, Vendor selection and order quantity allocation in volume discount environment. Supply Chain Manage. Int. J. 8 (2003) 335–342. | DOI

E.A. Demirtas and Ö. Üstün, An integrated multi-objective decision making process for supplier selection and order allocation. Omega 36 (2008) 76–90. | DOI

G.W. Dickson, An analysis of vendor selection systems and decisions. J. Purchasing 2 (1966) 5–17. | DOI

H. Ding, L. Benyoucef and X. Xie, A simulation optimization methodology for supplier selection problem. Int. J. Comput. Integr. Manufact. 18 (2005) 210–224. | DOI

R.G. Dyson and E. Thanassoulis, Reducing weight flexibility in data envelopment analysis. J. Oper. Res. Soc. 39 (1988) 563–576. | DOI

R.G. Dyson, R. Allen, A.S. Camanho, V.V. Podinovski, C.S. Sarrico and E.A. Shale, Pitfalls and protocols in DEA. Eur. J. Oper. Res. 132 (2001) 245–259. | DOI | Zbl

R. Farzipoor Saen, A decision model for selection technology suppliers in the presence of nondiscretionary factors. Appl. Math. Comput. 181 (2006) 1609–1615. | DOI | Zbl

R. Farzipoor Saen, A new mathematical approach for supplier selection: Accounting for non- homogeneity is important. Appl. Math. Comput. 185 (2007) 84–95. | DOI | MR | Zbl

R. Farzipoor Saen, A decision model for ranking suppliers in the presence of cardinal and ordinal data, weight restriction, and nondiscretionary factors. Ann. Oper. Res. 172 (2009a) 177–192. | DOI | Zbl

R. Farzipoor Saen, Supplier selection in volume discount environments in the presence of both cardinal and ordinal data. Int. J. Inform. Syst. Supply Chain Manage. 2 (2009b) 69–80. | DOI

R. Farzipoor Saen, Restricting weights in supplier selection decisions in the presence of dual-role factors. Appl. Math. Model. 34 (2010) 2820–2830. | DOI | MR | Zbl

R. Farzipoor Saen and M. Zohrehbandian, A data envelopment analysis approach to supplier selection in volume discount environment. Int. J. Procur. Manage. 1 (2008) 472–488.

R. Florez-Lopez, Strategic supplier selection in the added-value perspective: A CI approach. Inform. Sci. 177 (2007) 1169–1179. | DOI

R.M. Garfamy, A data envelopment analysis approach based on total cost of ownership for supplier selection. J. Enterprise Inform. Manage. 19 (2006) 662–678. | DOI

C. Gencer and D. Gürpinar, Analytic network process in supplier selection: A case study in an electronic firm. Appl. Math. Modell. 31 (2007) 2475–2486. | DOI | Zbl

S.H. Ghodsypour and C. O’Brien, Decision support system for supplier selection using an integrated analytical hierarchy process and linear programming. Int. J. Prod. Econ. 56–57 (1998) 199–212. | DOI

S.H. Ghodsypour and C. O’Brien, Total cost of logistics in Supplier selection, under conditions of multiple sourcing, multiple criteria and capacity constraint. Int. J. Prod. Econ. 37 (2001) 15–27. | DOI

B. Golany and Y. Roll, An application procedure for DEA. Omega 17 (1989) 237–250. | DOI

P. Guo and H. Tanaka, Fuzzy DEA: a perceptual evaluation method. Fuzzy Sets Syst. 119 (2001) 149–160. | DOI | MR

M. Hajeeh and A. Al-Othman, Application of the analytical hierarchy process in the selection of desalination plants. Desalination 174 (2005) 97–108. | DOI

Y.A. Hajidimitriou and A.C. Georgiou, A goal programming model for partner selection decisions in international Joint ventures. Eur. J. Oper. Res. 138 (2002) 649–662. | DOI | Zbl

A. Hatami-Marbini, A. Emrouznejad and M. Tavana, A taxonomy and review of the fuzzy data envelopment analysis literature: Two decades in the making. Eur. J. Oper. Res. 214 (2011) 457–472. | DOI | MR | Zbl

J.D. Hong and C. Hayya, Just-in-Time Purchasing: Single or Multiple Sourcing. Int. J. Prod. Econ. 27 (1992) 175–181. | DOI

J. Hou and D. Su, Oriented supplier selection system for mass customization. J. Manufact. Technol. Manage. 18 (2007) 54–71. | DOI

S. Huang and H. Keskar, Comprehensive and configurable metrics for supplier selection. Int. J. Prod. Econ. 105 (2007) 510–523. | DOI

S. Jaganathan, J.J. Erinjeri and J. Ker, Fuzzy analytic hierarchy process based group decision support system to select and evaluate new manufacturing technologies. Int. J. Adv. Manufact. Technol. 32 (2007) 1253–1262. | DOI

G.R. Jahanshahloo, F. Hosseinzadeh Lotfi, N. Shoja, G. Tohidi and S. Razavyan, Ranking using l 1 -norm in data envelopment analysis. Appl. Math. Comput. 153 (2004) 215–224. | DOI | MR | Zbl

G.R. Jahanshahloo, A. Memariani, F. Hosseinzadeh Lotfi and N. Shoja, A feasible interval for weights in data envelopment analysis. Appl. Math. Comput. 160 (2005) 155–168. | DOI | MR | Zbl

J. Jassbi, R. Farzipoor Saen, F. Hosseinzadeh Lotfi, Sh.S. Hosseininia and S. Khanmohammadi, A Hybrid Decision-making System Using Data Envelopment Analysis and Fuzzy Models for Supplier Selection in the Presence of Multiple Decision Makers. Int. J. Ind. Math. 3 (2011) 193–212.

C. Kahraman, U. Cebeci and Z. Ulukan, Multi criteria supplier selection using fuzzy AHP. Logistics Inform. Manage. 16 (2003) 382–394. | DOI

B. Karpak, E. Kumcu and R.R. Kasuganti, Purchasing materials in the supply chain: managing a multi-objective task. Eur. J. Purchas. Supply Manage. 7 (2001) 209–216. | DOI

M. Kumar, P. Vrat and R. Shankar, A fuzzy goal programming approach for vendor selection problem in a supply chain. Comput. Ind. Eng. 46 (2004) 69–85. | DOI

C.K. Kwong, W.H. Ip and J.W.K. Chan, Combining scoring method and fuzzy expert system approach to supplier assessments: A case study. Integr. Manufact. Syst. 13 (2002) 512–519. | DOI

A.H.I. Lee, A fuzzy supplier selection model with the consideration of benefits, opportunities, costs and risks. Expert Syst. Appl. 36 (2009) 2879–2893. | DOI

J.W. Lee and S.H. Kim, Using analytic network process and goal programming for interdependent information system project selection. Comput. Oper. Res. 27 (2000) 367–382. | DOI | MR | Zbl

J.W. Lee and S.H. Kim, An integrated approach for interdependent information system project selection. Int. J. Project Manage. 19 (2001) 111–118. | DOI

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

L.M. Zerafat Angiz, A. Emrouznejad and A. Mustafa, Fuzzy data envelopment analysis: A discrete approach. Expert Syst. Appl. 39 (2012) 2263–2269. | DOI

A. Mendoza, E. Santiago and A.R. Ravindran, A three-phase multi criteria method to supplier selection problem. Int. J. Ind. Eng. 15 (2008) 195–210.

R. Narasimhan, S. Talluri and D. Mendez, Supplier evaluation and rationalization via data envelopment analysis: An empirical examination. J. Supply Chain Manage. 37 (2001) 28–37. | DOI

W.L. Ng, An efficient and simple model for multiple criteria supplier selection problem. Eur. J. Oper. Res. 186 (2008) 1059–1067. | DOI | Zbl

V.V. Podinovski, DEA models for the explicit maximization of relative efficiency. Eur. J. Oper. Res. 131 (2001) 572–586. | DOI | MR | Zbl

F. Qui and J.R. Jensen, Opening the black box of neural networks for remote sensing image classification. Int. J. Remote Sensing 25 (2004) 1749–1768. | DOI

R. Ramanathan, Supplier selection problem: Integrating DEA with the approaches of total cost of ownership and AHP. Supply Chain Management: An International Journal 12 (2007) 258–261. | DOI

Y. Roll and B. Golany, Alternate methods of treating factor weights in DEA. Omega 21 (1993) 99–109. | DOI

Y. Roll, W.D. Cook and B. Golany, Controlling factor weights in data envelopment analysis. IIE Trans. 23 (1991) 2–9. | DOI

A. Ross, F.P. Buffa, C. Dröge and D. Carrington, Supplier evaluation in a dyadic relationship: An action research approach. J. Business Logistics 27 (2006) 75–102. | DOI

T.L. Saaty, The analytic hierarchy process. McGraw Hill, New York (1980) 287. | MR | Zbl

T.L. Saaty, Decision making with dependence and Feedback: The Analytical Network Process. RWS Publications, Pittsburgh (1996).

A. Sarkar and P.K.J. Mohapatra, Evaluation of supplier capability and performance: A method for supply base reduction. J. Purchas. Supply Manage. 12 (2006) 148–163. | DOI

U. Sekaran, Research methods for business: A skill building approach, 2nd edn. John Wiley & Sons, England (1992).

M. Sevkli, S.C.L. Koh, S. Zaim, M. Demirbag and E. Tatoglu, An application of data envelopment analytic hierarchy process for supplier selection: A case study of BEKO in Turkey. Int. J. Prod. Res. 45 (2007) 1973–2003. | DOI | Zbl

H.-J. Shyur and H.-Sh. Shin, A hybrid MCDM model for strategic vendor selection. Math. Comput. Model. 44 (2005) 749–761. | DOI | Zbl

S. Talluri and R. Narasimhan, A methodology for strategic sourcing. Eur. J. Oper. Res. 154 (2004) 236-250. | DOI | Zbl

S. Talluri and R. Narasimhan, A note on “a methodology for supply base optimization”. IEEE Trans. Eng. Manage. 52 (2005) 130–139. | DOI

S. Talluri and J. Sarkis, A model for performance monitoring of suppliers. Int. J. Prod. Res. 40 (2002) 4257–4269. | DOI | Zbl

O. Üstün and E.A. Demirtas, An integrated multi-objective decision-making process for multi-period lot-sizing with supplier selection. Omega 36 (2008) 509–521. | DOI

J. Valente de Oliveira and W. Pedrycz, Advances in fuzzy clustering and its applications. John Wiley & Sons, England (2007).

R.J. Vokurka, J. Choobineh and L. Vadi, A prototype expert system for the evaluation and selection of potential suppliers. Int. J. Oper. Prod. Manage. 16 (1996) 106–127. | DOI

G. Wang, S.H. Huan and J.P. Dismukes, Product-driven supply chain selection using integrated multi- criteria decision-making methodology. Int. J. Prod. Econ. 91 (2004) 1–15. | DOI

J. Wang, C. Cheng and H. Kun-Cheng, Fuzzy hierarchical TOPSIS for supplier selection. Appl. Soft Comput. 9 (2009) 377–386. | DOI

C.A. Weber, A data envelopment analysis approach to measuring vendor performance. Supply Chain Management 1 (1996) 28–39. | DOI

C.A. Weber, J.R. Current and W.C. Benton, Vendor selection criteria and methods. Eur. J. Prod. Res. 50 (1991) 2–18. | Zbl

M. Yurdakul, Selection of computer-integrated manufacturing technologies using a combined analytic hierarchy process and goal programming model. Rob. Comput. Integr. Manufact. 20 (2004) 329–340. | DOI

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