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Manuscript ID : FEJ-2004-2541 (R1) Visit : 266 Page: 389 - 422

20.1001.1.22519165.1399.11.45.17.4

Article Type: Original Research

Designing a Fuzzy Goal Programming (FGP) model of Green Closed Loop Supply Network (GCLSN) direction integrating financial and operational flow

Subject Areas : Financial engineering

shahram mokhlesabadi 1 , Mohammadreza Kabaranzadeh Khadim 2 , Hasanali Aghajanikasehgar 3 , Mohammad Mehdi Movahedi 4

1 - Department of industrial management, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran
2 - Department of Industrial Management, central Tehran Branch, Islamic Azad University, Tehran, Iran
3 - Department of industrial management, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran
4 - Department of industrial management, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran

Received: 2020-04-07 Accepted : 2020-05-22 Published : 2020-12-21

Keywords: Green Closed Loop Supply Network (GCLSN), Fuzzy Goal Programming (FGP), Epsilon method of constraint, Financial Flow (FF), Operational Flow (OF),

Abstract :

Today's the world is more competitive than ever therefore in order to survive in such an environment for organizations having with a supply management network has become an essential issue a recyclable and environmentally friendly product. The purpose of this article is to design Green Closed Loop Network (GCLN) to integrate financial- physical flows. The innovation of this article designing a four objective model to minimize deviations in financial indicators from desired limits; Costs; The rate of emission of pollutant gases throughout the environmental network and maximizing profits of shareholders using mathematical modeling of Fuzzy Goal Programming (FGP) with considering financial flows and its integration with physical flow. Modeling problem of FGP in a multi level multi period and multi product supply network with aim of maximizing shareholder wealth. To deal with multi-objective nature of FGP has been used. The model is designed and implemented in the dairy industry. The proposed model has been designed with GAMS24 software CPLEX solver tested using epsilon method of constraint. The results of modeling and solving numerical model show importance of the role of financial ratios and at the same time consider operational financial dimensions in mathematical model to gain a stable competitive advantage.

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_||_

  1. Ahmad, F., Adhami, A.Y., & Smarandache, F (2020). Modified neutrosophic fuzzy optimization model for optimal closed-loop supply chain management under uncertainty. In Optimization Theory Based on Neutrosophic and Plithogenic Sets (pp. 343-403). Elsevier.
    2.
  2. Bhatia, M.S., Jakhar, S.K., Mangla, S.Kumar., & Gangwani, K.K (2020). "Critical factors to environment management in a closed loop supply chain", Journal of Cleaner Production, 255, 120239.
    3.
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    4.
  4. De, M., & Giri, B.C (2020). "Modelling a closed-loop supply chain with a heterogeneous fleet under carbon emission reduction policy", Transportation Research Part E: Logistics and Transportation Review, 133, 101813.
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