Preventing of Environmental Pollution in the Sustainable Supply Chain of the Cement Industry: A Factor Analysis and Fuzzy Decision Making

Subject Areas : Sustainable Development

mohammad hossein darvish motevali ¹ , farhad hossein zadeh lotfi ² , naghi shoja ³ , AMIR GHOLAM ABRI ⁴

1 - Ph.D., Department of Industrial Management, Science and Research Branch, Islamic Azad University, Tehran, Iran
2 - Professor, Department of Mathematical, Science and Research Branch, Islamic Azad University, Tehran, Iran.*(Correspondin Author)
3 - دانشیار گروه ریاضی، واحد فیروزکوه، دانشگاه آزاد اسلامی، فیروزکوه، ایران.
4 - Associate Professor, Department of Mathematical, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran

Received: 2017-09-28 Accepted : 2018-02-10 Published : 2020-09-22

Keywords: Promoting environmental pollution, Performance Indicators, Vikor model, Sustainable Supply Chain,

Abstract :

Background and objectives: Today, sustainable activities are essential for maintaining environmental sustainability, and have attracted a significant part of the environmental economy. The occurrence of environmental pollution in the industry and its dissemination throughout the supply chain tend to overcome sustainability. The purpose of this paper is to identify environmental indicators that affect the sustainable supply chain in the cement industry and rank the chain of the industry in such a way as to prevent the occurrence of Prevention. Method: Method: For this purpose, factor analysis and fuzzy vikor decision making technique have been used. Finding: Effective indicators are identified and explained in four levels of sustainability, strategic, process and operational. Then, according to the determined indicators of environmental performance of the sustainable supply chain, 42 factories listed on Tehran stock exchange ranked. The results of the implementation of the model show that the stability level has the highest correlation with the current variable supply chain performance and this correlation is 44%. Operating surface weight was 40%, the strategic level was 23% and the process level was 12%. Discussion and Conclusion: The results show that sustainability indices in the sustainable supply chain of the cement industry are more important in preventing the occurrence of environmental Prevention. And the sustainable supply chain of the Ilam factory has been ranked in the first rank and supply chain of Bagher Factory based on environmental indicators.

References:

1. Shabanpour, H., Yousefi, S., Farzipoor Saen, R. 2017. Forecasting efficiency of green suppliers by dynamic data envelopment analysis and artificial neural networks. Journal of Cleaner Production 142, 1098e1107.


2. Olfat, Liaia, Morning Sufi, Migmar et al. 1391. "A Model for Assessing Supply Chain Performance Using a Network Data Envelopment Analysis Model in the Drug Industry", Journal of Industrial Management Studies, Vol. 10, No. 26, 26-1. (In Persian).


3. Kiani, Fatemeh, Ansari, Rahimi,. 2014."Economic, social and environmental impacts of Hegmatan cement plant on Shangjarin Village". Quarterly Journal of Rural Space and Rural Development,, 4 (2), 144-133.


4. Management and Planning and Budget Organization "Fourth Development Plan of the Country", 2007, Tehran. In Persian.


5. Seied Hosseini, Seyyed Mohammad, "Advanced Engineering Economics and Decision Analysis". Science and Technology University Press, 2014. (In Persian (.


6. Liou, J.J.H., 2013. New concepts and trends of MCDM for tomorrow–in honor of Professor. Journal Technological and Economic Development of Economy Volume 19,331-347.


7. Wolf, C., & Seuring, S. 2010/ Environmental impacts as buying criteria for third party logistical services. International Journal of Physical Distribution & Logistics Management, 40(1/2), 84–10/


8. Gandhi, S., Kumar Mangla, S., Kumar, P. 2015. Evaluating factors in implementation of successful green supply chain management using DEMATEL: A case study. International Strategic Management Review 3, 96–109


9. Mollenkopf, D., Stolze, H., Tate, W.L. and Ueltschy, M. 2010/ Green, lean, and global supply chains. International Journal of Physical Distribution and Logistics Management, 40(1/2): 14-41.


10. 10/ Badiezadeh, T., Farzipoor Saen, R., Samavati, T. 2017. Assessing sustainability of supply chains by double frontier network DEA: A big data approach. Computers & Operations Research, In Press, Corrected Proof, Available online 6 June.


11. Brandenburg, m. 2014. Quantitative models for sustainable supply chain management: Developments and directions. European Journal of Operational Research Volume 233, Issue 2, 1 March 2014, Pages 299-312.


12. Mathiyazhagan, K., Govindan, K. and Noorul Haq, A. 2014. Pressure analysis for green supply chain management implementation in Indian industries using analytic hierarchy process. International Journal of Production Research, 52: 1-16.


13. Toke, L. K., Gupta, R. C, Dandekar M. 2012. An empirical study of green supply chain management in Indian perspective. International Journal of Applied Science and Engineering Research, 1(2): 372–83.


14. Hsu, C.W., and Hu. A.H. 2008. Green Supply Chain Management in the Electronic Industry. International Journal of Science and Technology, 5(2): 205- 216.


15. Mariadoss, B., TingChi, H., Tansuhaj, P., Pomirleanu, N. Polyakovskiy, S., Varasi, M. 2016. Sustainable supply chain network design: A case of the wine industry in Australia. Omega Volume 66, Part B, January 2017, Pages 236–247.


16. Azadi, m. Jafarian, m. 2015. A new fuzzy DEA model for evaluation of efficiency and effectiveness of suppliers in sustainable supply chain management context. Computers & Operations Research 54, 274 -285.


17. Olfat, L., Amiri, M., Bamdad Soufi, J., Pishdar, M. 2016. A dynamic network efficiency measurement of airports performance considering sustainable development concept: A fuzzy dynamic network-DEA approach. In Journal of Air - - Transport Management 57, 272e290/


18. Genovese, A. Adolf A, A. Alejandro, F. 2017. Sustainable supply chain management and the transition towards a circular economy: Evidence and some applications. O mega 344- 357.


19. Genovese, A. Adolf A, A. Alejandro, F. 2017. Sustainable supply chain management and the transition towards a circular economy: Evidence and some applications. O mega 344- 357