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Manuscript ID : FEJ-2004-2541 (R1) Visit : 219 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 ( Department of industrial management, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran )
Mohammadreza Kabaranzadeh Khadim 2 ( Department of Industrial Management, central Tehran Branch, Islamic Azad University, Tehran, Iran )
Hasanali Aghajanikasehgar 3 ( Department of industrial management, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran )
Mohammad Mehdi Movahedi 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.
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    3.
  3. Bals, C.2019. "Toward a supply chain finance (SCF) ecosystem – Proposing a framework and agenda for future research", Journal of Purchasing and Supply Management, 25(2), 105-117.
    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.
    5.
  5. Fazli-Khalaf, M., Mirzazadeh, A., & Pishvaee, M.S (2017). "A robust fuzzy stochastic programming model for the design of a reliable green closed-loop supply chain network", Human and Ecological Risk Assessment: An International Journal, 23(8), 2119-2149.
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  13. Martin, J. and Hofmann, E.2019. "Towards a framework for supply chain finance for the supply side", Journal of Purchasing and Supply Management, 25(2), 157-171
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