Application of TOPSIS Method to Green Supplier Selection for a Thai OTOP Producer

Main Article Content

Walailak Atthirawong

Abstract

In recent years, the level of consciousness and awareness of environmental problems is increasingly concerned by society, businesses and governments globally. In order to decrease hazardous environment effects, a number of organizations have been forced to improve and diminish the harmful impact of business activities in terms of production, consumption and purchasing behavior which may affect the environment. Despite environmental concern, several consumers are also willing to pay more for environmental benefits. Supplier selection is one of the most crucial parts in the decision-making process by which the companies classify, assess and select the suppliers of their required raw materials. The appropriate supplier selection will lead to environmental performance which affect the quality of final product. Thus, this paper presents an approach for evaluating and ranking suppliers with respect to traditional and environmental criteria.  Such problem is regarded as multi-criteria decision making (MCMD) in nature that both qualitative and quantitative criteria have to be considered. In this study, TOPSIS method was applied to rank the green suppliers. An illustrate example in herbal cosmetics and personal care products from a Thai OTOP producer, is conducted to demonstrate how to select the most suitable supplier. A set of criteria were identified from literature review and then confirmed by the case company. The decision was made on the basis of observation of three suppliers with ten criteria. The proposed model helps the case company in finding the suitable supplier according to the operating conditions and market performance of those potential suppliers. The findings of this study could contribute a noteworthy tool to help a small enterprise in the supplier evaluation more precisely and reduce the subjective bias to some extent.


 
Keywords: green supplier selection; multi criteria decision making (MCMD); technique for order of preference by similarity to ideal solution (TOPSIS); Thai OTOP producer

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Article Details

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Original Research Articles

References

[1] Robinson, D.L., 2005. Air pollution in Australia: Review of costs, sources and potential solutions. Health Promotion Journal of Australia, 16, 213-220.
[2] Habre, R., Coull, B., Moshier, E., Godbold, J., Grunin, A., Nath, A., Castro, W., Schachter, N., Rohr, A., Kattan, M., Spengler, J. and Koutrakis, P., 2014. Sources of indoor air pollution in New York city residences of asthmatic children. Journal of Exposure Science and Environmental Epidemiology, 24, 269-278.
[3] Akman, G. and Piskin, H., 2013. Evaluating green performance of suppliers via analytic network process and TOPSIS. Journal of Industrial Engineering. [online] Available at: http://dx.doiorg/10.1153/2013/915241
[4] Kannan, D., Jabbour, A.B.L. and Jabbour, C.J.C., 2014. Selecting green suppliers based on GSCM practices: using fuzzy TOPSIS applied to a Brazilian electronics company. European Journal of Operations Research, 233(2), 432-447.
[5] Rao, P. and Holt, D., 2005. Do green supply chains lead to competitiveness and economic performance?. International Journal of Operations and Production Management, 25(9), 898-916.
[6] Molamohamadi, Z., Ismail, N., Leman, Z. and Zulkifli, N., 2013. Supplier selection in a sustainable supply chain. Journal of Advanced Management Science, 1(3), 278-281.
[7] Onder, E. and Dag, S., 2013. Combining analytical hierarchy process and TOPSIS approaches for supplier selection in a cable company. Journal of Business & Finance, 2(2), 56-74.
[8] Grover, R., Rao, V.B. and Kejriwal, K., 2016. Supplier selection using sustainable criteria in sustainable supply chain management. International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering, 10(5), 1775-1779.
[9] Luthra, S., Kumar, V., Kumar, S. and Haleem, A., 2011. Barriers to implement green supply chain management in automobile industry using interpretive structural modeling technique: an Indian perspective. Journal of Industrial Engineering and Management, 4(2), 231-257.
[10] Zarbini-Sydani, A, Karbasi, A. and Atef-Yekta, E., 2011. Evaluating and selecting supplier in textile industry using hierarchical fuzzy TOPSIS. Indian Journal Science and Technology, 4(10), 1322-1334.
[11] Lin, C. T., Chen, C. B. and Ting, Y. C., 2011. An ERP model for supplier selection in electronics industry. Expert Systems with Applications, 38, 1760-1765.
[12] Cheraghi, S.H., Dadashzadeh, M. and Subramaniam, M., 2004. Critical success factors for supplier selection: An update. Journal of Applied Business Research, 20(2), 91-108.
[13] Weber, C., Current, J. and Benton, W., 1991. Vendor selection criteria and methods. European Journal of Operations Research, 50, 2-18.
[14] Esfahbodi, A., Zhang, Y. and Watson, G., 2016. Sustainable supply chain management in emerging economies: Trade-offs between environmental and cost performance. International Journal of Production Economics, 181, 350-366.
[15] Schoenherr, T., Modi, S.B., Benton, W.C., Carter, C.R., Choi, T.Y., Larson, P.D., Leenders, M.R., Mabert, V.A., Narasimhan, R. and Wagner, S.M., 2012. Research opportunities in purchasing and supply management. International Journal of Production Research, 50(16), 4556-4579.
[16] Lee, A.H.I., Kang, H.Y., Hsu, C.F. and Hung, H.C., 2009. A green supplier selection model for high-tech industry. Expert System with Applications, 36, 7917-7927.
[17] Nielsen, I.E., Banaeian, N., Golin´ska, P. Mobli, H. and Omid, M., 2014. Green supplier selection criteria: From a literature review to a flexible framework for determination of suitable criteria. In : P. Golinska, ed. Logistics Operations, Supply Chain Management and Sustainability. Springer. Eco Production, pp. 79-100.
[18] Sayfi, P. and Nikbakht, M., 2016. Identification and ranking green supplier selection criteria using one-sample T-test and FANP methods: A case study for petrochemical industry. Journal of Modern Processes in Manufacturing and Production, 5(1), 53-67.
[19] Acar, E., Kilic, M. and Guner, M., 2015. Measurement of sustainability performance in textile industry by using a multi-criteria decision making method. Tekstil ve Konfeksiyon, 25(1), 1-8.
[20] Yoon, K., 1980. Systems selection by multiple attribute decision making. Ph.D. Kansas State University.
[21] Hwang, C.L. and Yoon, K.P., 1981. Multiple Attribute Decision Making: Methods and Applications: A State-of-the Art Survey. New York: Springer-Verlag.
[22] Yoon, K.P. and Hwang, C.L., 1995. Multiple Attribute Decision Making: An Introduction. London: Sage Publication.
[23] Govindan K., Khodaverdi, R. and Jafarian, A., 2013. A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach. Journal of Cleaner Production, 47, 345-354.
[24] Mohammed, A., Harris, I., Soroka, A., Mohamed, N. and Ramjaun, T., 2018. Evaluating Green and Resilient Supplier Performance: AHP-Fuzzy Topsis Decision-Making Approach. Proceedings of the 7th International Conference on Operations Research and Enterprise Systems (ICORES 2018), 209-216.
[25] Behzadian, M., Otaghsara, S. K., Yazdani, M. and Ignatius, J., 2012. A state-of the-art survey of TOPSIS applications. Expert Systems with Applications, 39, 13051-13069.
[26] Roszkowska, E., 2011. Multi-criteria decision making models by applying the topsis method to crisp and interval data. Multiple Criteria Decision Making, 6, 200-230.
[27] Dickson, G.W., 1966. An analysis of vendor selection systems and decisions. Journal of Purchasing, 2(1), 5-17.
[28] Awasthi, A., Chauhan, S.S. and Royal, S.K., 2010. A fuzzy multicriteria approach for evaluating environmental performance of suppliers. International Journal of Production Economics, 126, 370-378.
[29] Ho, W., Xu, X. and Dey, P.K., 2010. Multi-criteria decision making approaches for supplier evaluation and selection: A literature review. European Journal of Operational Research, 202, 16-24.
[30] Thiruchelvam, S. and Tookey, J.E., 2011. Evolving trends of supplier selection criteria and methods. International Journal of Automotive and Mechanical Engineering, 4, 437-454.
[31] Gurel, O., Zafer, A., Onden, I. and Gumus, I., 2015. Determinants of the green supplier selection. Procedia - Social and Behavioral Sciences, 181,131-139.
[32] Sivaprakasam, R., Selladurai, V. and Sasikumar, P., 2015. Integrating environmental factors in the suppliers assessment using analytic hierarchy process as a decision making tool. Journal of Materials Environmental Science, 6 (8), 2097-2104.
[33] Rabieh, M., Rafsanjani, A., Babaei, L. and Esmaeili, M., 2019. Sustainable supplier selection and order allocation: An integrated delphi method, fuzzy TOPSIS, and multi-objective programming model. Scientia Iranica Transactions E: Industrial Engineering, 6(4), 2524-2540.
[34] Song, W., Chen, Z., Liu, A., Zhu, Q., Zhao, W., Tsai, S. and Lu, H., 2018. A Study on Green Supplier Selection in Dynamic Environment. Sustainability, 10 [online] Available at: https://www.mdpi.com/journal/sustainability
[35] Quan, J., Zeng, B. and Liu, D., 2018. Green Supplier Selection for Process Industries Using Weighted Grey Incidence Decision Model, Complexity, 1-12. https://doi.org/10.1155/2018/4631670.
[36] Uluta, G.A., Topal, A. and Bakhat, R., 2019. An application of fuzzy integrated model in green supplier selection. Mathematical Problems in Engineering,. https://doi.org/10.1155/2019/4256359.
[37] Phumchusri, N. and Tangsiriwattanam S., 2019. Optimal supplier selection model with multiple criteria: A case study in the automotive parts industry. Engineering Journal, 23(1), 191-203.
[38] Kuo, R., Wang, Y. and Tien, F., 2010. Integration of artificial neural network and MADA methods for green supplier selection. Journal of Cleaner Production, 8(12), 1161-1170.
[39] Buyukozkan, G. and Cifci, G., 2012. A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers. Expert System with Applications, 39, 3000-3011.
[40] Dai, J. and Blackhurst, J., 2012. A four-phase AHP-QFD approach for supplier assessment: a sustainability perspective. International Journal of Production Research, 50(19), 5474-5490.
[41] Hashemi, S.H., Karimi, A. and Tavana, M., 2015. An integrated green supplier selection approach with analytic network process and improved Grey relational analysis. International Journal of Production Economics, 159, 178-191.
[42] Roszkowska, E., 2013. Rank ordering criteria weighting methods-a comparative overview. Optimum Studia Ekonomiczne, 5(65), 14-33.
[43] Morais, D.C. and de Almeida, A.T., 2007. Group decision-making for leakage management strategy of water network. Resources, Conservation and Recycling, 52(2), 441-459.
[44] Hutton, B.F., 1992. Electing a best multiattribute alternative with partial information about attribute weights. Acta Psychologica, 80(1-3), 91-103.
[45] Banaeian, N., Mobli, H., Nielsen. I.E. and Omid, M., 2015. Criteria definition and approaches in green supplier selection-a case study for raw material and packaging of food industry. Production & Manufacturing Research, 3(1), 149-168.