Using Integration of Fuzzy AHP – VIKOR for Selecting the Best Strategy in Green Supply Chain Management

Ahmad Jafarnejad Chaghooshi, Mohammad Karimi Zarchi

Abstract


Increasingly, firms have recognized the significance of environmental issues in gaining competitive advantage. Many firms have searched for mechanisms that integrate environmental supply chain practices and performance objectives. In this way, we are talking about the use of eco cases in various business models and projects, about this in best writing services there are various texts that would help you deal with this issue. This paper presents an integrated approach for selecting the best green supply chain management strategy. In this paper key performance indicator (KPI) are criteria and strategies are alternatives. Fuzzy AHP and VIKOR are used in the integrated approach. Fuzzy AHP is used to determine the fuzzy weights of criteria because it can effectively determine various criteria’s weights in a hierarchical structure. VIKOR aims to rank strategies with respect to the criteria. We apply the integrated approach in real case to demonstrate the application of the proposed method.


Full Text:

PDF

References


Houben, G, Lenie, K, Vanhoof, K. 1999. A knowledge-based SWOT-analysis system as an instrument for strategic planning in small and medium sized enterprises, Decision Support Systems, 26, 125–135.

Sheu JB, Chou YH, Hu CC. An integrated logistics operational model for green-supplychain management. Transportation Research 2005;41(4):287–313.

Chien MK, Shih LH. An empirical study of the implementation of green supply chainmanagement practices in the electrical and electronic industry and their relationto organizational performances. International Journal of Environmental Scienceand Technology 2007;4(3):383–94.

Lambert, D. M., & Cooper, M. C. (2000). Issues in supply chain management. Industrial Marketing Management, 29(1), 65–83.

Rettab B, Ben Brik A. Green supply chain in Dubai. Dubai, UAE: Dubai Chamber Centre for Responsible Business; 2008.

Shang, K.C., Lu, C.S., Li, S., 2010. A taxonomy of green supply chain management capability among electronics-related manufacturing firms in Taiwan. Journal of Environmental Management 91, 1218–1226.

Srivastava, S.K., 2007. Green supply-chain management: a state-of-the-art literature review. International Journal of Management Reviews 9 (1), 53–80.

Zhu Q, Sarkis J. An inter-sectoral comparison of green supply chain management in China: drivers and practices. Journal of Cleaner Production 2006;14(5):472–86.

Zhu Q, Sarkis J, Cordeiro JJ, Lai KH. Firm-level correlates of emergent green supply chain management practices in the Chinese context. Omega 2008b;36:577– 91.

Tate, W.L., Ellram, L.M., Kirchoff, J.F., 2010. Corporate social responsibility reports: a thematic analysis related to supply chain management. Journal of Supply Chain Management 46 (1), 19–44.

Gonzalez-Benito, J. (2008), “The effect of manufacturing pro-activity on environmental management: an exploratory analysis”, International Journal of Production Research, Vol. 46 No. 24, pp. 7017-38.

Green, K.W. Jr, Whitten, D. and Inman, R.A. (2008), “The impact of logistics performance on organizational performance in a supply chain context”, Supply Chain Management: An International Journal, Vol. 13 No. 4, pp. 317-27.

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 (3), 265–289.

Zhu, Q.H., Sarkis, J., Geng, Y., 2005. Green supply chain management in China: pressures, practices and performance. International Journal of Operations and Production Management 25, 449–468.

D. Simpon, D. Samson, Developing strategies for green supply chain management, Decision Line 39 (4) (2008) 12–15.

Chen, CH., Shih, H., Shyur, H,. Wu, K., 2012. A business strategy selection of green supply chain management via an analytic network process, Computers and Mathematics with Applications 64, 2544–2557.

Opricovic. (1998). “Multi-criteria optimization of civil engineering systems, “Faculty of Civil Engineering, Belgrade

Opricovic, S., & Tzeng, G. H. (2002). Multicriteria planning of post earthquake sustainable reconstruction, Computer-Aided Civil and Infrastructure Engineering, no.17, pp. 211–220.

Opricovic, S., & Tzeng. G.H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS, European Journal of Operational Research, no.156, pp.445-455.

Yu, C. S. (2002). A GP-AHP method for solving group decision-making fuzzy AHP problems. Computers and Operations Research, 29, 1969–2001.

Liang, G. S., & Wang, M. J. (1994). Personnel selection using fuzzy MCDM algorithm.European Journal of Operational Research, 78, 22–33.

Lee, A. H. I., Chen, W.-C., & Chang, C.-J. (2008). A fuzzy AHP and BSC approach for evaluating performance of IT department in the manufacturing industry in Taiwan. Expert Systems with Applications, 34(1), 96–107.

Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17(3),233–247.

Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95(3), 649–655

Cheng, C. H. (1997). Evaluating naval tactical missile systems by fuzzy AHP based on the grade value of membership function. European Journal of Operational Research, 96(2), 343–350.

Deng, H. (1999). Multicriteria analysis with fuzzy pairwise comparison. International Journal of Approximate Reasoning, 21(3), 215–231.

Leung, L. C., & Cao, D. (2000). On consistency and ranking of alternatives in fuzzy AHP. European Journal of Operational Research, 124(1), 102–113.

Mikhailov, L. (2004). A fuzzy approach to deriving priorities from interval pairwise comparison judgments. European Journal of Operational Research, 159(3), 687–704.

Van Laarhoven, P. J. M., & Pedrycz, W. (1983). A fuzzy extension of Saaty’s priority theory. Fuzzy Sets and Systems, 11(1–3), 229–241.

Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95(3), 649–655.

Dag ˘deviren, M., Yüksel, _ I., & Kurt, M. (in press). A fuzzy analytic network process.(ANP) model to identify faulty behavior risk (FBR) in work system. Safety Science.



Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

Copyright ©2022 Academic Journals Center

To make sure that you can receive messages from us, please add the 'academicjournalscenter.org' domain to your e-mail 'safe list'. If you do not receive e-mail in your 'inbox', check your 'bulk mail' or 'junk mail' folders.