A Decision Support Tool for Sustainable Supplier Selection in Manufacturing Firms

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Abstract (2. Language): 
Purpose: Most original equipment manufacturers (OEMs) are strategically involved in supplier base rationalization and increased consciousness of sustainable development. This reinforces need for accurately considering sustainability in supplier selection to improve organizational performance. In real industrial case, problems are unavoidable and pose huge challenge to accurately incorporate sustainability factors into supplier selection. Such problems include imprecise data, ambiguity of human judgment, uncertainty among sustainability factors and the need to capture all subjective and objective criteria Design/methodology/approach: This study develops a model based on integrated multicriteria decision making (MCDM) methods to solve such problems. The developed model applies Fuzzy logic, DEMATEL and TOPSIS to effectively analyze the interdependencies between sustainability criteria and to select the best sustainable supplier in fuzzy environment while capturing all subjective and objective criteria. A case study is illustrated to test the proposed model in a gear manufacturing company, an OEM to provide insights and for practical applications. Findings: Results show that social factors of sustainability ranks as the most important in sustainable supplier selection. RFP ranks as the most important sub- criterion with score of 3. 7442. Also, the highest net causers are WS and quality with scores of 1.2818 and 0.3409 respectively. This implies that during sustainable supplier selection, it is suggested that emphasis should be placed on work safety and quality of the respective suppliers. A6 is identified as the best possible sustainable supplier with a relative closeness to the ideal solution Li of 0.527. This is as a result of A6 being closest to the positive ideal solution and farthest from the negativeideal solution during implementing sustainable supplier selection in the case study. Originality/value: The model is capable of capturing all subjective and objective criteria in fuzzy environment to accurately incorporate sustainability factors in supplier selection. Work safety and quality necessitates the most emphasis during implementing sustainable supplier selection because they highly influence all other sub- criteria.



Amindoust, A., Ahmed, S., Saghafinia, A., & Bahreininejad, A. (2012). Sustainable supplier
selection: a ranking model based on fuzzy inference system. Applied soft computing, 12(6),
1668-1677. http://dx.doi.org/10.1016/j.asoc.2012.01.023
Asamoah, D., Annan, J., & Nyarko, S. (2012). AHP approach for supplier evaluation and
selection in a pharmaceutical manufacturing firm in Ghana. International Journal of Business
and Management, 7(10), 49-62. http://dx.doi.org/10.5539/ijbm.v7n10p49
Awasthi, A., Chauhan, S.S., & Goyal, S.K. (2010). A fuzzy multi criteria approach for evaluating
environmental performance of suppliers. International journal of production economics,
126(2), 370-378. http://dx.doi.org/10.1016/j.ijpe.2010.04.029
Bai, C., & Sarkis, J. (2009). Supplier selection and sustainability: a grey rough set evaluation.
Working paper No. 2009-05.
Bhutia, P.W., & Phipon, R. (2012). Application of AHP and TOPSIS method for supplier selection
problem. IOSR Journal of Engineering, 2(10), 43-50. http://dx.doi.org/10.9790/3021-021034350
Bottani, E., & Rizzi, A. (2008). An adapted multi-criteria approach to suppliers and products
selection: An application oriented to lead-time reduction. International Journal of Production
Economics, 111, 763-781. http://dx.doi.org/10.1016/j.ijpe.2007.03.012
Cebi, F., & Bayraktar, D. (2003). An integrated approach for supplier selection. Logistics
Information Management, 16(6), 395-400. http://dx.doi.org/10.1108/09576050310503376
Chang, C.T. (2007). Multi-choice goal programming. Omega, The International Journal of
Management Science, 35, 389-396. http://dx.doi.org/10.1016/j.omega.2005.07.009
Chang, B., Chang, C.-W., & Wu, C.-H. (2011). Fuzzy DEMATEL method for developing supplier
selection criteria. Expert systems with applications: An international journal, 38(3),
Chen, C.M. (2009). A fuzzy-based decision-support model for rebuy procurement.
International Journal of Production Economics, 122, 714-724.
Chiu, Y.J., Chen, H.C., Shyu, J.Z., & Tzeng, G.H. (2006). Marketing strategy based on customer
behavior for the LCD-TV. Int. J. Manage. Decision Making, 7(2-3), 143-165.
Gharakhani, D. (2012). The evaluation of supplier selection criteria by fuzzy DEMATEL method.
Journal of Basic Applied Sci. Res, 2(4), 3215-3224.
Hori, S., & Shimizu, Y. (1999). Designing methods of human interface for supervisory control
systems. Control Eng. Pract., 7(11), 1413-1419. http://dx.doi.org/10.1016/S0967-0661(99)00112-4
Humphreys, P.K., Wong, Y.K., & Chan, F.T.S., (2003). Integrating environmental criteria into the
supplier selection process. Journal of Materials Processing Technology, 138(1-3), 349-356.
Hsu, C.–W., Kuo, T.– C., Chen S.– H., & Hu, A.H. (2013). Using DEMATEL to develop a carbon
management model of supplier selection in green supply chain management. International
Journal of Prod. Econs. 56(1), 164-172.
Jadidi, O., Hong, T.S., Firouzi, F., Yusuff, R.M., & Zulkifli, N. (2008). TOPSIS and fuzzy
multi-objective model integration for supplier selection problem. Journal of Achievements in
Materials and Manufacturing Engineering, 31(2), 762-769.
Keskin, G.A., Ihan, S., & Ozkan, C. (2010). The fuzzy art algorithm: A categorization method
for supplier evaluation and selection. Expert Systems with Application, 37, 1235-1240.
Kheljani, J.G., Ghodsypour, S.H., & O’Brien, C. (2009). Optimizing whole supply chain benefit
versus buyer's benefit through supplier selection. International Journal of Production
Economics, 121, 482-493. http://dx.doi.org/10.1016/j.ijpe.2007.04.009
Kumar, J., & Roy, N. (2010). A hybrid method for vendor selection using neural network.
International Journal of Computer Applications, 11(12), 35-40. http://dx.doi.org/10.5120/1631-2193
Kuo, R., Wang, Y., & Tien, F. (2010). Integration of artificial neutral network and MADA
methods for green supplier selection. Journal of Cleaner Production, 18(12), 1161-1170.
Lee, A.H.I., Kang, H.-Y., Hsu C.–F., & Hung, H.-C. (2009). A green supplier selection model for
high- tech industry”, Expert systems with applications. 36, 7917-7927.
Lin, C.T., Chen, C.B., & Ting, Y.-C. (2011). An ERP model for supplier selection in electronics
industry. Expert Systems with Applications, 38, 1760-1765.
Liou, J.J.H., Tzeng, G.H., & Chang, H.C. (2007). Airline safety measurement using a novel
hybrid model. Journal of Air Transport Management, 13(4), 243-249.
Opricovic, S., Tzeng, G.H. (2003). Defuzzification within a multicriteria decision model.
International Journal of Uncertainty, Fuzziness and Knowledge-based Systems, 11, 635–652.
Radke, A.M. (2008). Sourcing Unique Components in the Electro-Mechanical Engineering
Industry from Chinese suppliers, 51.
Tamura, M., Nagata, H., & Akazawa, K. (2002). Extraction and systems analysis of factors that
prevent safety and security by structural model. 41st SICE Annual Conference, Osaka, Japan.
Tseng, M.L., & Chiu, A.S. (2010). Evaluating firm’s green supply chain management in
linguistic preferences. Journal of cleaner production, 18, 1-10.
Tzeng, G.H., Chiang, C.H., & Li, C.W. (2007). Evaluating intertwined effects in e-learning
programs: A novel hybrid mcdm model based on factor analysis and DEMATEL. Exp. Syst.
Appl., 32(4), 1028-1044. http://dx.doi.org/10.1016/j.eswa.2006.02.004
Upadhyay, A. (2012). Sustainability: Overview and Concepts. International Journal of
Innovations in Business, 4, 268-273.
Wang, G., Huang, S.H., & Dismukes, J.P. (2004). Product-driven supply chain selection using
integrated multi-criteria decision-making methodology, Int. J. Production Economics, 91,
1-15. http://dx.doi.org/10.1016/S0925-5273(03)00221-4
Wang, S.J., & Hu, H.A. (2005). Application of rough set on supplier’s determination. Paper
presented at the third annual conference on uncertainty.
Wang, Y.M., & Elhag, T.M.S. (2006). Fuzzy TOPSIS method based on alpha level sets with an
application to bridge risk assessment. Expert Systems with Applications, 31, 309-319.
Weber, C.A., Current, J.R. (1993). A multiobjective approach to vendor selection. European
Journal of Operational Research, 68(2), 173-184. http://dx.doi.org/10.1016/0377-2217(93)90301-3
Wu, W.W., & Lee, Y.T. (2007). Developing global managers’ competencies using the fuzzy
DEMATEL method. Expert Systems with Applications, 32(2), 499-507.
Wu, D.S., & Olson, D.L. (2008). Supply chain risk, simulation, and vendor selection.
International Journal of Production Economics, 114, 646-655.
Yeh, W.C., & Chuang, M.C. (2010). Using multi-objective genetic algorithm for partner
selection in green supply chain problems. Expert System Application, 38, 4244-4253.
Zhu, Q., Dou, Y., & Sarkis, J. (2010). A portfolio-based analysis for green supplier management
using the analytical network process. Supply chain management: An International Journal,
15, 306-319. http://dx.doi.org/10.1108/13598541011054670

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