WSEAS Transactions on Systems and Control


Print ISSN: 1991-8763
E-ISSN: 2224-2856

Volume 13, 2018

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.


Volume 13, 2018



Analysis of Green Supply Chain Management Initiatives: A study of Critical Implementation Barriers

AUTHORS: Ehsan Pourjavad, Aydin M. Torkabadi, Rene V. Mayorga

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ABSTRACT: Environmental issues are key factors that determine the success of organizations in the green economy era. Green Supply Chain Management (GSCM) is a leading philosophy to improve the ecological efficiency and control the negative environmental impact. This Paper identifies the pressures that reportedly jeopardize the GSCM strategies. To evaluate the impact of the identified pressures, a framework is proposed to quantitatively analyze the factors. A Fuzzy Analytical Hierarchy Process (AHP) is used in the framework to incorporate the expert knowledge in evaluating the barriers of GSCM implementation. To examine the proposed approach of this study a real supply chain from pipe manufacturing industry is studied. The results confirm the practicality of the proposed framework and indicate the importance of the identified barriers

KEYWORDS: Green Supply Chain Management, Sustainability, Environmental Pressures, Analytical Hierarchy Process, Fuzzy, Multi-Criteria Decision Making

REFERENCES:

[1] Pourjavad, E, Mayorga, R., (2017) “A comparative study and measuring performance of manufacturing systems with Mamdani fuzzy inference system”, Journal of Intelligent Manufacturing, doi:10.1007/s10845-017-1307-5.

[2] Govindan K, Soleimani H and Kannan D (2015). Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future. European Journal of Operational ResearchVol. 240, No. 3: pp. 603–626.

[3] Zhu Q, Sarkis J, Geng Y. Green supply chain management in China: pressures, practices and performance. INT J OPER PROD MAN. 2005; 25(5): 449-468.

[4] Mathiyazhagan, K., Govindan, Kannan, Haq, Noorul, 2014. Pressure analysis for green supply chain management implementation in Indian industries using analytic hierarchy process.International Journal of Production research, Vol.52, No. 1, pp. 188-202.

[5] Mathiyazhagan, K., Haq, A.N., 2013. Analysis of the influential pressures for green supply chain management adoptiondan Indian perspective using interpretive structural modeling.The International Journal of Advanced Manufacturing Technology,Vol. 68, No. (1-4), pp. 817-833.

[6] Zhu, Q., Sarkis, J., Lai, K.H., 2007. Green supply chain management: pressures, practices and performance within the Chinese automobile industry. Journal of Cleaner Production. Vol. 15, No. 11, pp. 1041-1052.

[7] Muduli, K., Govindan, K., Barve, A., Kannan, D., Geng, Y., 2013b. Role of behavioural factors in green supply chain management implementation in Indian mining industries. Resoures, Conservation, Recycling. Vol. 76, pp. 50-60.

[8] Fonseca, A., McAllister, M.L., Fitzpatrick, P., 2013. Measuring what? A comparative anatomy of five mining sustainability frameworks.Minerals Engineering.Vol. 46, pp. 180-186.

[9] Gomes, C.M., Kneipp, J.M., Kruglianskas, I., da Rosa, L.A.B., Bichueti, R.S., 2014. Management for sustainability in companies of the mining sector: an analysis of the main factors related with the business performance. Journal of Cleaner Production.Vol. 84,pp. 84- 93.

[10] Sarkis J, A strategic decision framework for green supply chain management. Journal of Cleaner Production. 2003; 11(4): 397–409.

[11] Chen CC, Shih HS, Shyur HJ, Wu KS.A business strategy selection of green supply chain management via an analytic network process. COMPUT MATH APPL. 2012; 64(8): 2544–2557.

[12] Wang F, Lai X, Shi N. A multi-objective optimization for green supply chain network design.DECIS SUPPORT SYST. 2011; 51(2): 262–269.

[13] Jamshidi R, FatemiGhomi SMT, Karimi B. Multi-objective green supply chain optimization with a new hybrid memetic algorithm using the Taguchi method. Scientia Iranica. 2012; 19(6): 1876–1886.

[14] Lin RJ. Using fuzzy DEMATEL to evaluate the green supply chain management practices. Journal of Cleaner Production. 2013; 40 February: 32–39.

[15] Mathiyazhagan K, Diabat A, Al-Refaie A, Xu L. Application of analytical hierarchy process to evaluate pressures to implement green supply chain management. Journal of Cleaner Production. 2015; 107(16): 229–236.

[16] Yuce B, Mastrocinque E. A hybrid approach using the Bees Algorithm and Fuzzy-AHP for supplier selection. In P. Samui (Ed.), Handbook of Research on Advanced Computational Techniques for Simulation-Based Engineering, Engineering Science Reference, IGI Global, India. 2015; 171-194.

[17] Shahin, A, Shirouyehzad, H., Pourjavad, E., (2012), “Optimum maintenance strategy: a case study in the mining industry”, International Journal of Services and Operations Management, Vol. 12, No. 3, pp. 368-386.

[18] Pourjavad, E., Shirouyehzad, H., (2014) “Analyzing Maintenance Strategies by FANP Considering RAM Criteria; a Case Study”, International Journal of Logistics Systems and Management ,Vol. 18, No.3, pp. 302-321.

[19] Kilincci, O., &Onal, S. A. (2011), “Fuzzy AHP approach for supplier selection in a washing machine company”, Expert Systems with Applications, Vol. 38, No. 8, pp. 9656–9664.

[20] Pourjavad, E, Peng, W., (2017) “An Integrated MCDM approach for Risk Evaluation of New Product in Fuzzy Environment”, International Journal of Product Development, Vol. 22, No. 3, pp. 165-188.

[21] Chang, D.Y. (1992), “Extent Analysis and Synthetic Decision, Optimization Techniques and Applications”, World Scientific, Singapore.

[22] Yüksel, I. and Dagdeviren, M., (2008), “Developing a fuzzy analytic hierarchy process (AHP) model for behavior-based safety management”, Information Sciences, Vol. 178, No. 6, pp. 1717–1733.

[23] Saaty, T. L. (1980). The analytic hierarchy process: Planning priority setting. New York: McGraw Hill.

[24] Kahraman, C., Cebeci, U., & Ulukan, Z. (2003), “Multi-criteria supplier selection using fuzzy AHP”, Logistics Information Management, Vol. 16, No. 6, pp. 382–394.

[25] Tolga, E., Demircan, M.L. and Kahraman, C. (2005) “Operating system selection using fuzzy replacement analysis and analytic hierarchy process”, International Journal of Production Economics, Vol. 97, No. 1, pp.89–117.

[26] Chang, D.Y. (1996) “Applications of the extent analysis method on fuzzy AHP”, European Journal of Operational Research, Vol. 95, No. 3, pp.649–655.

[27] Pourjavad, E., Shirouyehzad, H., (2014) “Evaluating Manufacturing Systems by Fuzzy ANP: a Case Study”, International Journal of Applied Management Science, Vol. 6, No. 1, pp. 65-83.

WSEAS Transactions on Systems and Control, ISSN / E-ISSN: 1991-8763 / 2224-2856, Volume 13, 2018, Art. #19, pp. 153-160


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