Skip to main content

Advertisement

SpringerLink
Log in

Implementation of interpretive structural modelling methodology as a strategic decision making tool in a Green Supply Chain Context

  • Published:
Annals of Operations Research Aims and scope Submit manuscript

Abstract

Due to the revolution in green manufacturing for the global market, Green Supply Chain Management (GSCM) concepts have become an important issue that can play a pivotal role in a company’s competitive advantage and help strategic decision making. GSCM is a concept, by which companies assess their suppliers to improve the environmental performance of their products or production processes of the suppliers. The tide of globalization has also resulted in pressure on multinational firms to improve environmental performance. Due to the increasing realization of the importance of integrating environmental factors into assessing suppliers’ performance, this study developed a model for analyzing the criteria and sub-criteria involved in the implementation of GSCM using an Interpretive Structural Modeling (ISM) framework. Finally, the proposed model is validated based on a case study involving textile manufacturing industry in southern part of India.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21
Fig. 22
Fig. 23
Fig. 24
Fig. 25

Similar content being viewed by others

References

  • Apsan, H. N. (2000). Running in nonconcentric circles: why environmental management isn’t being integrated into business management. Environmental Quality Management, 9(4), 69–75.

    Article  Google Scholar 

  • Arimura, T. H., Darnall, N., & Katayama, H. (2011). Is ISO 14001 a gateway to more advanced voluntary action? The case of green supply chain management. Journal of Environmental Economics and Management, 61, 170–182.

    Article  Google Scholar 

  • Beamon, B. M. (1999). Designing the green supply chain. Logistics Information Management, 12(4), 332–342.

    Article  Google Scholar 

  • Bloemhof-Ruwaard, J. M., Van Beek, P., Hordijk, L., & Van Wassenhove, L. N. (1995). Interactions between operational research and environmental management. European Journal of Operational Research, 85(2), 229–243.

    Article  Google Scholar 

  • Bowen, F. E., Cousins, P. D., Lamming, R. C., & Faruk, A. C. (2001). Horses for courses: explaining the gap between the theory and practice of green supply. Greener Management International, 35, 41–60.

    Article  Google Scholar 

  • Buyukozkan, G., & Cifci, G. (2012). A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers. Expert Systems with Applications, 39, 3000–3011.

    Article  Google Scholar 

  • Carter, C. R., Ellram, L. M., & Kathryn, L. M. (1998). Environmental purchasing: benchmarking our German counterparts. International Journal of Purchasing and Materials Management, 34(4), 28–38.

    Article  Google Scholar 

  • Chan, F. T. S., & Kumar, N. (2007). Global supplier development considering risk factors using fuzzy extended AHP-based approach. Omega, 35, 417–431.

    Article  Google Scholar 

  • Chiou, C. Y., Hsu, C. W., & Hwang, W. Y. (2008). Comparative investigation on green supplier selection of the American, Japanese and Taiwanese electronics industry in China. In Proceedings of the international conference on IE&EM (pp. 1909–1914). New York: IEEE Press.

    Google Scholar 

  • Choi, T. Y., & Hartley, J. L. (1996). An exploration of supplier selection practices across the supply chain. Journal of Operations Management, 14, 333–343.

    Article  Google Scholar 

  • Cusumano, M. A., & Takeishi, A. (1991). Supplier relations and management: a survey of Japanese-transplant, and US auto plants. Strategic Management Journal, 12, 563–588.

    Article  Google Scholar 

  • Diabat, A., & Govindan, K. (2011). An analysis of the drivers affecting the implementation of green supply chain management. Resources, Conservation and Recycling, 55, 659–667.

    Article  Google Scholar 

  • Feng, B., Fan, Z., & Li, Y. (2011). A decision method for supplier selection in multi-service outsourcing. International Journal of Production Economics, 132, 240–250.

    Article  Google Scholar 

  • Green, K., Morton, B., & New, S. (1998). Green purchasing and supply policies: do they improve companies’ environmental performance? Supply Chain Management, 3(2), 89–95.

    Article  Google Scholar 

  • Handfield, R., Walton, S. V., Sroufe, R., & Melnyk, S. A. (2002). Applying environmental criteria to supplier assessment: a study in the application of the analytical hierarchy process. European Journal of Operational Research, 141, 70–87.

    Article  Google Scholar 

  • Hsu, C.-W., & Hu, A. H. (2009). Applying hazardous substance management to supplier selection using analytic network process. Journal of Cleaner Production, 17, 255–264.

    Article  Google Scholar 

  • 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, 349–356.

    Article  Google Scholar 

  • Kannan, G., Haq, A. N., Sasikumar, P., & Arunachalam, S. (2008). Analysis and selection of green suppliers using interpretative structural modelling and analytic hierarchy process. International Journal of Management and Decision Making, 9(2), 163–182.

    Article  Google Scholar 

  • Kannan, G., Pokharel, S., & Sasikumar, P. (2009). A hybrid approach using ISM and fuzzy TOPSIS for the selection of reverse logistics provider. Resources, Conservation and Recycling, 54(1), 28–36.

    Article  Google Scholar 

  • 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(4), 7917–7927.

    Article  Google Scholar 

  • Lu, L. Y. Y., Wu, C. H., & Kuo, T.-C. (2007). Environmental principles applicable to green supplier evaluation by using multi-objective decision analysis. International Journal of Production Research, 45(18–19), 4317–4331.

    Article  Google Scholar 

  • Mandal, A., & Deshmukh, S. G. (1994). Vendor selection using interpretive structural modelling (ISM). International Journal of Operations & Production Management, 14(6), 52–59.

    Article  Google Scholar 

  • Min, H. (1994). International supplier selection: a multi-attribute utility approach. International Journal of Physical Distribution & Logistics Management, 24(5), 24–33.

    Article  Google Scholar 

  • Min, H., & Galle, W. (1997). Green purchasing strategies: trends and implications. International Journal of Purchasing and Materials Management, 4, 10–17.

    Article  Google Scholar 

  • Muralidharan, C., Anantharaman, N., & Deshmukh, S. G. (2002). A multi-criteria group decision-making model for supplier rating. The Journal of Supply Chain Management, 38(4), 22–33.

    Article  Google Scholar 

  • Narasimhan, R., & Carter, J. R. (1998). Environmental supply chain management. The center for advanced purchasing studies. Tempe: The Center for Advanced Purchasing Studies, Arizona State University.

    Google Scholar 

  • Rao, P. (2002). Greening the supply chain a new initiative in South East Asia. International Journal of Operations & Production Management, 22(6), 632–655.

    Article  Google Scholar 

  • Sage, A. P. (1977). Interpretive structural modeling: methodology for large-scale systems. New York: McGraw-Hill.

    Google Scholar 

  • Sarkis, J. (1998). Evaluating environmentally conscious business practices. European Journal of Operational Research, 107, 159–174.

    Article  Google Scholar 

  • Sasikumar, P., & Haq, A. N. (2010). Analyzing interactions among battery recycling barriers in reverse supply chain. In L. Wang & S. C. L. Koh (Eds.), Handbook of enterprise networks and logistics for Agile manufacturing (pp. 249–269). London: Springer.

    Chapter  Google Scholar 

  • Sasikumar, P., Kannan, G., & Haq, A. N. (2009). Interpretive structural modelling: methodology for the analysis of interactions among the barriers to recycling. In Proceedings of the international conference on operations research applications in engineering and management (p. 236).

    Google Scholar 

  • Seuring, S. (2001). Green supply chain costing—joint cost management in the polyester linings supply chain. Greener Management International, 33, 71–80.

    Article  Google Scholar 

  • Tuzkaya, G., Ozgen, A., Ozgen, D., & Tuzkaya, U. R. (2009). Environmental performance evaluation of suppliers: a hybrid fuzzy multi-criteria decision approach. International Journal of Environmental Science and Technology, 6(3), 477–490.

    Article  Google Scholar 

  • Van Hoek, R. I., & Erasmus, I. (2000). From reversed logistics to green supply chains. Logistics Solutions, 2, 28–33.

    Google Scholar 

  • Walton, S. V., Handfield, R. B., & Melnyk, S. A. (1998). The green supply chain: integrating suppliers into environmental management process. International Journal of Purchasing and Materials Management, Spring, 2–11.

    Article  Google Scholar 

  • Warfield, J. W. (1974). Developing interconnected matrices in structural modeling. IEEE Transactions on Systems, Man and Cybernetics, 4(1), 51–81.

    Google Scholar 

  • Weber, C. A., Current, J. R., & Benton, W. C. (1991). Vendor selection criteria and methods. European Journal of Operational Research, 50, 2–18.

    Article  Google Scholar 

  • Yang, Y., & Wu, L. (2008). Extension method for green supplier selection. In The proceedings of the international conference on Wi Com (pp. 1–4). New York: IEEE Press.

    Google Scholar 

  • Zhu, Q., & Geng, Y. (2001). Integrating environmental issues into supplier selection and management: a study of large and medium-sized state-owned enterprises in China. Greener Management International, 35, 27–40.

    Google Scholar 

  • Zhu, Q., & Sarkis, J. (2004). Relationships between operational practices and performance among early adopters of green supply chain management practices in Chinese manufacturing enterprises. Journal of Operations Management, 22, 265–289.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Karpagam College of Engineering, Coimbatore, India

    R. Sivaprakasam

  2. Coimbatore Institute of Technology, Coimbatore, India

    V. Selladurai

  3. KPR Institute of Engineering and Technology, Coimbatore, India

    P. Sasikumar

Authors
  1. R. Sivaprakasam
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. V. Selladurai
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. P. Sasikumar
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to P. Sasikumar.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Sivaprakasam, R., Selladurai, V. & Sasikumar, P. Implementation of interpretive structural modelling methodology as a strategic decision making tool in a Green Supply Chain Context. Ann Oper Res 233, 423–448 (2015). https://doi.org/10.1007/s10479-013-1516-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10479-013-1516-z

Keywords

Search

Navigation