Evaluation Green Suppliers Using DEMATEL Technique in Fuzzy Environment

الموضوعات :

Reza Ehtesham Razi ¹

1 - Department of Industrial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran.

تاريخ الإرسال : 05 الثلاثاء , رجب, 1440 تاريخ التأكيد : 05 الثلاثاء , رجب, 1440 تاريخ الإصدار : 13 الخميس , جمادى الثانية, 1439

الکلمات المفتاحية: * Green Supply Chain, * Environmental, * Production capability,

ملخص المقالة :

Green supply chain management (GSCM) is crucial for environmental compliance and business development of companies. Companies look for new ideas and methods to achieve environmental sustainability. GSCM is an innovative idea which involves all business value-adding operations, such as purchasing and in-bound logistics, production and manufacturing, distribution, out-bound logistics, and collaboration with patrons and suppliers with the minimum negative environmental impact. The main purpose of the present study was to find the interrelationship between green supplier criteria applying a novel model. Thus, experts’ opinions were investigated through nominal group technique (NGT) to understand the interrelationship and causal preferences of the green supplier evaluation aspects through Fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) method. The degree of importance factors shows that environmental performance is a proper index for displaying companies adopting their supply chain into the GSCM as the third most important criterion. The results of the priority weight analysis of the criteria demonstrated that the production Capability has minimal impact on GSCM adoption. The findings also revealed that the production capability falls under the effect group, and green design and production capability are correlated.

المصادر:

References

1. Akhilesh, B., and Kamalakanta, M. (2013). Modelling the challenges of green supply chain management practices in indian mining industriesnull, Journal of Manufacturing Technology Management , 24(8); 1102-1122. 


2. Amindoust, A., Ahmed, S., Saghafinia, A., and Bahreininejad, A. (2012). Sustainable supplier selection: a ranking model based on fuzzy inference system. Applied Sofware  Computing. 12(6);1668-1677.


3.  Amiri, M., Sadaghiyani, J. S., Payani, N., and Shafieezadeh, M. (2011). Developing a dematel method to prioritize distribution centers in supply chain, Management Science Letters, 1(3);279-288. 


4. Aref, A. H., Marilyn, M. H., and Joseph, S. (2005).Performance measurement for green supply chain management, Benchmarking: An International Journal, 12(4);330-353. 


5. Bacallan, J. (2000).Greening the supply chain, Business and Environment, 6(6); 11-12.


6. Bai, C., and Sarkis, J. (2010).Integrating sustainability into supplier selection with grey system and rough set methodologies,International Journal of Production Economics, 124(1); 252-264.


7. Bai, C., Dhavale, D., and Sarkis, J. (2016). Complex investment decisions using rough set and fuzzy c-means: an example of investment in green supply chains. European Journal of Operational Research, 248(2);507–521.
   
   
   1. Bose, I., and Pal, R. (2012). Do Green supply chain management initiatives impact stock prices of firms?, Decision Support Systems, 52(3); 624-634.
   
   
   2. Chai, J., Liu, J. N., and Ngai, E. W. (2013). Application of Decision-Making Techniques in Supplier Selection: A Systematic Review of Literature,Expert Systems with Applications, 40(10); 3872-3885.
   
   
   3. Charnes, W. (1978).Measuring the efficiency of decision making units* 1, European journal of operational research,  2(6); 429-444.
   
   
   4. Enarsson, L. (1998).Evaluation of suppliers: how to consider the environment, International Journal of Physical Distribution & Logistics Management, 28(1); 5-17.
   
   
   5. Govindan, K., Muduli, K., Devika, K., and Barve, A. (2016). Investigation of the influential strength of factors on adoption of green supply chain management practices: an indian mining scenario,Resources, Conservation and Recycling,107(2);185-194.
   
   
   6. Govindan, K., Rajendran, S., Sarkis, J., and Murugesan, P. (2015). Multi criteria decision making approaches for green supplier evaluation and selection: A Literature Review, Journal of Cleaner Production, 98(14); 66-83.
   
   
   7. Green, K., Morton, B., and New, S. (1996).Purchasing and environmental management: interactions, policies and opportunities, Business Strategy and the Environment, 5(3);188-197.
   
   
   8. Handfield, R., Walton, S., Sroufe, R., and Melnyk, S. (2002). Applying environmental criteria to supplier assessment: a study in the application of the analytical hierarchy process, European Journal of Operational Research, 141(1);70-87.
   
   
   9. Humphreys, P., McCloskey, A., McIvor, R., Maguire, L., and Glackin, C. (2006).Employing Dynamic fuzzy membership functions to assess environmental performance in the supplier selection process,International Journal of Production Research, 44(12); 2379-2419.
   
   
   10. Humphreys, P., McIvor, R., and Chan, F. (2003a).Using case-based reasoning to evaluate supplier environmental management performance,Expert Systems with Applications, 25(2); 141-153.
   
   
   11. Humphreys, P. K., Wong, Y. K., and Chan, F. T. S. (2003b).Integrating environmental criteria into the supplier selection process,Journal of Materials Processing Technology, 138(13);349-356.
   
   
   12. Jabbour, A., and Jabbour, C. (2009). Are Supplier Selection Criteria Going Green? Case Studies of Companies in Brazil,Industrial Management & Data Systems, 109(4); 477-495.
   
   
   13. Kao, C. (2009). Efficiency decomposition in network data envelopment analysis: a relational model," European Journal of Operational Research, 192(3); 949-962.
   
   
   14. Lee, A., Kang, H., Hsu, C., and Hung, H. (2009). A Green supplier selection model for high-tech industry, Expert Systems with Applications, 36(4); 7917-7927.
   
   
   15. Lin, K. M., and Lin, C. W. (2008).Cognition map of experiential marketing strategy for hot spring hotels in Taiwan using the dematel method, Natural Computation, ICNC'08. Fourth International Conference on: IEEE, pp. 438-442.
   
   
   16. Lin, R. J. (2013)."Using fuzzy dematel to evaluate the green supply chain management practices,Journal of Cleaner Production, 40(8); 32-39.
   
   
   17. Liou, J. J. H., Tamošaitienė, J., Zavadskas, E.K., Tzeng, G., (2016).New hybrid COPRAS-G MADM model for improving and selecting suppliers in green supply chain management. International Journal of Production Research, 54(1); 114–134.
   
   
   18. Lu, L., Wu, C., and Kuo, T. (2007). Environmental principles applicable to green supplier evaluation by using multi-objective decision analysis, International Journal of Production Research, 45(18); 4317-4331.
   
   
   19. Mingbo, S.,Dan, Y.(2009).Integrating environmental performance into the supplier evaluation: a gra-based method, Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on, ;162-166.
   
   
   20. Muduli, K., Govindan, K., Barve, A., and Geng, Y. (2013).Barriers to green supply chain management in indian mining industries: a graph theoretic approach, Journal of Cleaner Production, 47(2);335-344.
   
   
   21. Niza, S., Santos, E., Costa, I., Ribeiro, P., Ferrão, P.(2014). Extended producer responsibility policy in Portugal: a strategy towards improving waste management performance. Journal of Cleaner Production, 64(64); 277–287.
   
   
   22. Nurjanni, K. P., Carlvaho, M. S., Costa., L. (2017). Green supply chain design: A mathematical modeling approach based on a multi-objective optimization model, International Journal of  Production Economics, 183(2);421–432.
   
   
   23. Puigjaner, L., Pérez-fortes, M., and Laínez-aguirre, J. M. (2015). Towards a carbon-neutral energy sector: opportunities and challenges of coordinated bioenergy supply chains—A PSE Approach., 56(2);13–5660.
   
   
   24. Rao, P., and Holt, D. (2005). Do green supply chains lead to competitiveness and economic performance?, International Journal of Operations & Production Management, 25(9); 898-916.
   
   
   25. Tuzkaya, G., Ozgen, A., Ozgen, D., and Tuzkaya, U. (2009).Environmental performance evaluation of suppliers: a hybrid fuzzy multi-criteria decision approach, International Journal,6(3); 477-490.
   
   
   26. Verghese, K., and Lewis, H. (2007). Environmental innovation in industrial packaging: a supply chain approach, International Journal of Production Research,45(18);4381-4401.
   
   
   27. Walker, H., Di Sisto, L., and McBain, D. (2008). Drivers and barriers to environmental supply chain management practices: lessons from the public and private sectors, Journal of Purchasing and Supply Management,14(1);69-85.
   
   
   28. Walton, S. V., Handfield, R. B., and Melnyk, S. A. (1998). The green supply chain: integrating suppliers into environmental management processes," Journal of Supply Chain Management, 34(2); 2-11.
   
   
   29. Wu, Z., and Pagell, M. (2011). Balancing Priorities: decision-making in sustainable supply chain management, Journal of Operations Management, 29(6);577-590.
   
   
   30. Xu, X., Xu, X., & He, P. (2016). Joint production and pricing decisions for multiple products with cap-and-trade and carbon tax regulations. Journal of Cleaner Production, 112(2); 4093–4106
   
   
   31. Yeh, W.-C., and Chuang, M.-C. (2011). Using Multi-objective genetic algorithm for partner selection in green supply chain problems, Expert Systems with Applications, 38(4); 4244-4253.
   
   
   32. Zhu, Q., and Sarkis, J. (2006). "An inter-sectoral comparison of green supply chain management in china: drivers and practices," Journal of Cleaner Production, Vol. 14, No. 5, pp. 472-486.