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ADVANCES IN INDUSTRIAL ENGINEERING AND MANAGEMENT
ISSN:2222-7059 (Print);EISSN: 2222-7067 (Online)
Copyright © 2000- American Scientific Publishers. All Rights Reserved.


Title : An Integration between Fuzzy PROMETHEE and Fuzzy Linear Program for Supplier Selection Problem: Case Study
Author(s) : Ahmad Jafarnejad, Hossein safari, Ermia Aghasi
Author affiliation : Faculty of Management, University of Tehran, Iran
Corresponding author img Corresponding author at : Corresponding author img  

Abstract:
This paper proposes an integrated decision making model for supplier evaluation under fuzzy environment. First the fuzzy decision matrix is formed and using fuzzy PROMETHEE the pairwise comparison is performed. Then, by fuzzy linear programming (FLP) the weights of the attributes pairwise matrices are obtained. Finally, the fuzzy output is transformed to crisp one employing fuzzy analytic hierarchy process (FAHP). The applicability and the validity of the proposed method is evaluate in a case study. The results are helpful in business plan and road map of businesses for obtaining competitive advantage and profit maximization.

Key words:Supplier selection; fuzzy PROMETHEE; full fuzzy linear program

Cite it:
Ahmad Jafarnejad, Hossein safari, Ermia Aghasi, An Integration between Fuzzy PROMETHEE and Fuzzy Linear Program for Supplier Selection Problem: Case Study, Advances in Industrial Engineering and Management, vol. 4, no. 1, 2015, pp. 79-88, doi: 10.7508/aiem.2015.01.008

Full Text : PDF(size: 803.52 kB, pp. 79-88, Download times:417)

DOI : 10.7508/aiem.2015.01.008

References:
[1] S. H. Ghodsypour, and C. O’brien, 2001. The total cost of logistics in supplier selection, under conditions of multiple sourcing, multiple criteria and capacity constraint, International Journal of Production Economics, vol. 73, no. 1, pp. 15-27.
[2] Z. Degraeve and F. Roodhooft, 1999. Effectively selecting suppliers using total cost of ownership, Journal of Supply Chain Management, vol. 35, no. 1, pp. 5-10.
[3] G.W. Dickson, 1966. An analysis of vendor selection systems and decisions, Journal of purchasing, vol. 2, no. 1, pp. 5-17.
[4] Memari, A., et al., 2013. Performance Assessment in a Production-Distribution Network Using Simulation, Caspian Journal of Applied Sciences Research, vol. 2, no. 5.
[5] Zhang, D., et al. 2009. An novel approach to supplier selection based on vague sets group decision, Expert Systems with Applications, vol. 36, no. 5, pp. 9557-9563.
[6] R.-H. Lin, 2009. An integrated FANP–MOLP for supplier evaluation and order allocation, Applied Mathematical Modelling, vol. 33, no. 6, pp. 2730-2736.
[7] H.-J. Shyur and H.-S. Shih, 2006. A hybrid MCDM model for strategic vendor selection, Mathematical and Computer Modelling, vol. 44, no. 7, pp. 749-761.
[8] M. R. Galankashi et al., 2013. Supplier Selection for Electrical Manufacturing Companies Based on Different Supply Chain Strategies, Electrical Engineering.
[9] M. R. Galankashi, F. Ziaei, S. A. Helmi, and A. M. Baniani, 2013. Assessment of Supply Chain Strategies and Analysis on the Performance of Companies Deployed Strategy Using Activity Based Approach, Jurnal Teknologi, vol. 64, no. 2, pp. 39-43.
[10] A. Memari, et al. 2012. Scenario-based simulation in production-distribution network under demand uncertainty using ARENA. In 2012 7th International Conference on Computing and Convergence Technology (ICCCT), IEEE.
[11] C. Chen, C. Lin, and S. Huang, 2006. A fuzzy approach for supplier evaluation and selection, Int. J. Prod. Econ., vol. 102, pp. 289-301.
[12] W. A. S. Castro, O. D. C. Gomez, and L. F. O. Franco, 2009. Seleccion de proveedores: uma aproximacion al estado del arte, Cuaderno de Administración, vol. 22, pp. 145-167.
[13] P. Thrulogachantar and S. Zailani, 2011. The influence of purchasing strategies on manu- facturing performance, J. Manuf. Technol. Manage., vol. 22, pp. 641-663.
[14] B. Ha, Y. Park, and S. Cho, 2011. Suppliers’ affective trust and trust in competency in buyer, Int. J. Oper. Prod. Manage., vol. 31, pp. 56-77.
[15] L. De Boer, E. Labro, and P. Morlacchi, 2001. A review of methods supporting supplier selection, Eur. J. Purch. Supply Manage, vol. 7, pp. 75-89.
[16] C. Wu and D. Barnes, 2011. A literature review of decision-making models and approaches for partner selection in agile supply chains, J. Purch. Supply Manage, vol. 17, pp. 256-274.
[17] L. De Boer, L. V. D. Wegen, and J. Telgen, 1998. Outranking methods in support of supplier selection, Eur. J. Purch. Supply Manage, vol. 4, pp. 109-118.
[18] A. Amindoust, S. Ahmed, A. Saghafinia, and A. Bahreininejad, 2012. Sustainable supplier selection: a ranking model based on fuzzy inference system, Appl. Soft Comput., vol. 12, pp. 1668-1677.
[19] J. Chai, J. Liu, E. Ngai, 2013. Application of decision-making techniques in sup- plier selection: a systematic review of literature, Expert Syst. Appl., vol. 40, pp. 3872-3885.
[20] D. Y. Chang, 1996. Applications of the extent analysis method on fuzzy-AHP, Eur. J. Oper. Res., vol. 95, pp. 649-655.
[21] C. Kahraman, U. Cebeci, and Z. Ulukan, 2003. Multi-criteria supplier selection using fuzzy, Logist. Inform. Manage., vol. 16, pp. 382-394.
[22] F. T. S. Chan and N. Kumar, 2007. Global supplier development considering risk factors using fuzzy extended AHP-based approach, Omega, vol. 35, pp. 417-431.
[23] A. H. I. Lee, 2009. A fuzzy supplier selection model with the consideration of benefits, opportunities, costs and risks, Expert Syst. Appl, vol. 36, pp. 2879-2893.
[24] I. Chamodrakas, D. Batis, and D. Martakos, 2010. Supplier selection in electronic market- places using satisfying and Fuzzy-AHP, Expert Syst. Appl., vol. 37, pp. 490-498.
[25] M. Zeydan, C. C. olpan, and C. C. obanoglu, 2011. A combined methodology for sup- plier selection and performance evaluation, Expert Syst. Appl., vol. 38, pp. 2741-2751.
[26] O. Kilincci and S. A. Onal, 2011. Fuzzy-AHP approach for supplier selection in a washing machine company, Expert Syst. Appl., vol. 38, pp. 9656-9664.
[27] C. T. Chen, 2000. Extensions of the TOPSIS for group decision-making under fuzzy environment, Fuzzy Sets Syst, vol. 114, pp. 1-9.
[28] M. Dagdeviren, S. Yavuz, and N. Kilinci, 2009. Weapon selection using the AHP and TOPSIS methods under fuzzy environment, Expert Syst. Appl., vol. 36, pp. 8143-8151.
[29] G. Büyüközkan and M. S. Ersoy, 2009. Applying fuzzy decision making approach to IT outsourcing supplier selection, Eng. Technol, vol. 55, pp. 411-415.
[30] A. Awasthi, S. S. Chauhan, and S. K. Goyal, 2010. A fuzzy multicriteria approach for eval- uating environmental performance of suppliers, Int. J. Prod. Econ., vol. 126, pp. 370-378.
[31] C. Liao and H. Kao, 2011. An integrated fuzzy-TOPSIS and MCGP approach to sup- plier selection in supply chain management, Expert Syst. Appl., vol. 38, pp. 10803-10811.
[32] F. Jolai, S. A. Yazdian, K. Shahanaghi, and M. A. Khojasteh, 2011. Integrating fuzzy TOPSIS and multi-period goal programming for purchasing multiple products from multiple suppliers, J. Purch. Supply Manage., vol. 17, pp. 42-53.
[33] A. Zouggari and L. Benyoucef, 2012. Simulation based fuzzy TOPSIS approach for group multi-criteria supplier selection, Eng. Appl. Artif. Intell., vol. 25, no. 3, pp. 507-519.
[34] A. Nazeri, H. Meftahi, and A. M. Shaharoun, 2011. Supplier evaluation and selection in SCM using Fuzzy AHP, In 2011 3rd International Conference on Advanced Management Science IPEDR, vol. 19. IACSIT Press, Singapore.
[35] P. Agarwal, M. Sahai, V. Mishra, M. Bag, and V. Singh, 2011. A review of multi-criteria decision making techniques for supplier evaluation and selection, Int. J. Ind. Eng. Comput., vol. 2, pp. 801–810.
[36] Y.-H. Chen, T.-C. Wang, C. -Y. Wu, 2011. Strategic decisions using fuzzy PROMETHEE for is outsourcing, Expert Syst. Appl., vol. 38, pp. 12216-13222.
[37] J. P. Brans, B. Mareschal, and P. Vincke, 1984. PROMETHEE: A new family of outranking methods in MCDM, In Brans J.P. (ed.) Operational Research IFORS 84, North-Holland, Amsterdam, pp. 477-490.
[38] J. P. Brans, P. Vincke, B. Mareschal, 1986. How to select and how to rank projects: the PROMETHEE method, Eur. J. Oper. Res., vol. 24, pp. 228-238.
[39] J. P. Brans, P. Vincle, 1985. A preference ranking organization method, Manage. Sci., vol. 31, no. 6, pp. 647-656.
[40] M. Dagdeviren, 2008. Decision making in equipment selection: an integrated approach with AHP and PROMETHEE, J. Intell. Manuf., vol. 19, no. 4, pp. 397-406.
[41] R. U. Bilsel, G. Buyukozkan, and D. Ruan, 2006. A fuzzy preference ranking model for a quality evaluation of hospital web sites. In. J. Intell. Syst., vol. 21, no. 11, pp. 1181-1197.
[42] A. Albadvi, S. K. Chaharsooghi, and A. Esfahanipour, 2007. Decision making in stock trading: an application of PROMETHEE, Eur. J. Oper. Res., vol. 177, no. 2, pp. 673-683.
[43] G. Tuzkaya, B. Gülsün, C. Kahraman, D. Özgen, 2010. An integrated fuzzy multi-criteria decision making methodology for material handling equipment selection problem and an application, Expert Syst. Appl., vol. 37, no. 4, pp. 2853-2863.
[44] F. Ulengin, Y. Topçu, and S. O. Sahin, 2001. An Integrated decision aid system for Bosporous water crossing problem, Eur. J. Oper. Res., vol. 134, no. 179-192.
[45] C. Macharis, J. Springael, K. de Brucker, and A. Verbeke, 2004. PROMETHEE and AHP: the design of operational synergies in multicriteria analysis, Stengthening PROMETHEE with ideas of AHP, Eur. J. Oper. Res., vol. 153, no. 2, pp. 307-317.
[46] M. Goumas and V. Lygerou, 2000. An extension of the PROMETHEE method for decision making in fuzzy environment: ranking of alternative energy exploitation projects, Eur. J. Oper. Res., vol. 123, pp. 606-613.
[47] J. Geldermann, T. Spengler, and O. Rentz, 2000. Fuzzy outranking for environmental assessment: case study: iron and steel making industry, Fuzzy Sets Syst., vol. 115, no. 1, pp. 45-65.

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