ارزیابی عملکرد توزیع محصولات در زنجیره تأمین سبز

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشیار گروه مهندسی صنایع، دانشکده مهندسی صنایع و مکانیک، واحد قزوین، دانشگاه آزاد اسلامی، قزوین، ایران

2 کارشناس ارشد مهندسی صنایع، دانشگاه آزاد اسلامی، واحد قزوین، دانشکده مهندسی صنایع و مکانیک، قزوین، ایران

چکیده

 هدف اصلی این تحقیق، ارزیابی عملکرد توزیع فرآورده‌های نفتی در زنجیره تأمین چند معیاره سبز در محیط خاکستری در شرکت ملی پخش فرآورده‌های نفتی منطقه فارس است. در پژوهش حاضر با در نظر داشتن شرایط عدم قطعیت و شاخص‌های عملکردی سبز، ابتدا با به‌ کارگیری روش تصمیم‌گیری گروهی خاکستری روابط علی و معلولی بین منظرهای روش کارت امتیازی متوازن بهبود یافته، میزان اثرپذیری آن­ها و نهایتاً وزن منظرها مورد بررسی قرار گرفته است. سپس با استفاده از روش فرآیند تحلیل شبکه‌ای اهمیت زیر شاخص‌های هر منظر تعیین گردید و به کمک روش ویکور خاکستری، به ارزیابی و رتبه‌بندی محصولات شرکت ملی پخش فرآورده‌های نفتی منطقه فارس پرداخته شد. لذا، نتایج نشان می‌دهد که نفت کوره در رتبه اول و نفت سفید در رتبه آخر قرار دارد. نتایج تحقیق به مدیران شرکت و سایر سازمان‌ها کمک می­کند تا به بهبود توان و کاهش ضعف خود در جهت افزایش عملکرد بپردازند.

کلیدواژه‌ها


عنوان مقاله [English]

Evaluation of Product Distribution Performance in the Green Supply Chain

نویسندگان [English]

  • Alireza Alinezhad 1
  • Javad Khalili 2
1 Associate Professor, Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin branch, Islamic Azad University, Qazvin, Iran
2 Msc., Faculty of Industrial and Mechanical Engineering, Qazvin branch, IslamicAzad University, Qazvin, Iran
چکیده [English]

The main purpose of this study was to evaluate the performance of petroleum products distribution in the gray multi-criteria supply chain for the National Iranian Oil Products Distribution Company in the Fars region. In the present study, considering the uncertainty conditions and green performance indices, first, by applying gray group decision-making method, the causal relationships between the points of view of the improved balanced scorecard are improved, their effectiveness and finally the weight of the perspectives have been studied. Then, using the network analysis process method, the importance of the sub-indices of each perspective was determined, and with the help of the VIKOR gray method, the products of the National Iranian Oil Products Distribution Company in the Fars region were evaluated and ranked. Therefore, the results show that the furnace is in the first place and kerosene is in the last place. The research findings help company executives and other organizations improve their strengths and reduce their weaknesses in order to increase performance.

کلیدواژه‌ها [English]

  • Performance Evaluation
  • Grey System Theory
  • Multiple Criteria Decision Making
  • Green Supply Chain Management
  1. Ahmadi, R., & Jafarzadeh-Afshari, A. (1394), Using DEMATEL Technique to Investigate the Causal and Effective Relationships of Factors Affecting Green Supply Chain Performance in Sepahan Battery Industrial Complex. International conference on modern research in management & industrial engineering, Tehran, Iran.
  2. Amini, A., & Alinezhad, A. (2016), A combined evaluation method to rank alternatives based on VIKOR and DEA with BELIEF structure under uncertainty. Iranian Journal of Optimization, 8(2), 111-122.
  3. Amini, A., Alinehad, A., & Salmanian, S. (2016), Development of Data Envelopment Analysis for the Performance Evaluation of Green Supply Chain with Undesirable Outputs. International journal of supply and operations management, 3(2), 1267.
  4. Amiri, M., & Darestani-Farahani, A. (1392), Multi-criteria decision making. Kian press, Tehran, Iran.
  5. Asaadi, F. (1386), Importance and necessity of optimizing and reducing energy consumption intensity. Journal of Majlis & Rahbord, 13(54), 43-65.
  6. Baghban, A., Amiri, M., Effat, L., & Sharafi-Avarzaman, Z. (1391), Evaluating and Ranking Contractors and Promoting Inefficient Contractors with Gray Data Envelopment Analysis, Case Study: MAPNA Group Contractors. Journal of Operational Research and Its Applications, 9(2), 21-38.
  7. Bastani, M., Ketabi, S., & Ghandehari, M. (1393), Providing a Integrated Model for Product Allocation to Distributors in the Supply Chain Using Data Envelopment Analysis and Goal Programming, Case Study: Automotive Industry. Journal of Operational Research and Its Applications, 1(40), 119-131.
  8. Chithambaranathan, P., Subramanian, N., Gunasekaran, A., & Palaniappan, P. K. (2015), Service supply chain environmental performance evaluation using grey based hybrid MCDM approach. International Journal of Production Economics, 166, 163-176.
  9. Dou, Y., Zhu, Q., & Sarkis, J. (2014), Evaluating green supplier development programs with a grey-analytical network process-based methodology. European Journal of Operational Research, 233(2), 420-431.

10. Fakoor-Saghih, A. M. (1394), Measuring the Flexibility of Supply Chain by Using Gray System. IQBQ. 19(4), 117-138.

11. Falatoonitoosi, E., Leman, Z., & Sorooshian, S. (2013), Modeling for Green Supply Chain Evaluation, Mathematical Problems in Engineering, 1-9.

12. Faraji-Khorshidi, H., & Haddadi, M. (1386), Supply Chain Performance Measurement in Iran, Case Study: SSO's Pharmacy Holding. Journal of strategic management thought, 2(1), 75-102.

13. Ghorbanpoor, A., Pooya, A., Nazemi, S., & Najiazimi, Z. (1395), The Design Structural Model of Green Supply Chain Management Practices to Using Fuzzy Interpretive Structural Modeling Approach. Journal of Operational Research and Its Applications, 13(4), 1-20.

14. Hamedi, M., Farahani, R. Z., Husseini, M. M., & Esmaeilian, G. R. (2009). A distribution planning model for natural gas supply chain: A case study. Energy Policy, 37(3), 799-812.

15. Handfield, R.B.; Walton, S.V. (1996), Green supply chain: best practices from the furniture industry, In Proceedings, Annual Meeting of the Decision Science Institute USA, 3, 1295-1297.

16. Hervani, A. A., Helms, M. M., & Sarkis, J. (2005), Performance measurement for green supply chain management. Benchmarking: An international journal, 12(4), 330-353.

17. Kaplan, R., & Norton, D. (1996), Using the balanced scorecard as a strategicmanagement system. Harvard Business Review, 74, 75.

18. Karimi, T., & M. R. Sadeghi-Moghaddam (1394), Rough sets and gray sets. Mehraban press, Tehran, Iran.

19. Kazemi, A., Shakouri, G.H., Mehregan, M.R., & Hosseinzadeh, M. (2012), A Fuzzy Linear Programming Model for Allocation of Oil and Gas Resources in Iran with the Aim of Reducing the Greenhouse Gases, Environmental Progress & Sustainable Energy, 32(3), 854-859.

20. Khalili, J. & Alinezhad, A. (2018), Performance Evaluation in Green Supply Chain using BSC, DEA and Data Mining. Int J Supply Oper Manage (IJSOM), 5(2), 182-191.

21. Lee, H. S., Tzeng, G.H., Yeih, W., Wang, Y.J., & Yang, S.C. (2013), Revised DEMATEL: resolving the infeasibility of DEMATEL, Applied Mathematical Modelling, 37(10-11), 6746-6757.

22. Lin, R. J. (2013), Using fuzzy DEMATEL to evaluate the green supply chain management practices. Journal of Cleaner Production, 40, 32-39.

23. Mohaghar, A., Mehregan, M. R., & Abolhasani, G. (1389), Application of decision making techniques in prioritization and consumption and allocation of natural gas by fuzzy approach. Journal of energy economics review, 7(24), 91-119.

24. Muturi W.K., & Ngugi P. (2015), Factors Affecting Performance of Supply Chain Systems in the Petroleum Industries in Kenya, International Journal of Scientific and Research Publications, 5(4), 2250-3153.

25. Nwe, E.S., Adhitya, A., Halim, I., & Srinivasan, R. (2010), Green supply chain design and operation by integrating LCA and dynamic simulation, Computer aided chemical engineering, 28, 109-114.

26. Opricovic, S. C., & Miloradov, M. (2016), Multi-criteria selection of municipal waste treatment system using VIKOR method. International Journal of Environment and Waste Management, 18(1), 43-57.

27. Opricovic, S., & Tzeng, G.H. (2003), Defuzzification within a multicriteria decision model, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 11(5), 635-652.

28. Saaty, T.L., (2001), Decision making with dependenceand feedback: Analytic Network Process, RWS press, Pittsburg, PA.

29. Sarkis, J. (2006), Greening the supply chain, 1st ed., Springer Science & Business Media.

30. Shaw, S., Grant, D.B., & Mangan, J. (2010), Developing environmental supply chain performance measures. Benchmarking: An International Journal, 17(3), 320-339.

31. Srivastava, S.K. (2007), Green supply‐chain management: a state‐of‐the‐art literature review, International journal of management reviews, 9(1), 53-80.