Proposing Multi-Objective Mathematical Model for Design of Multi-Product Forward and Reverse Logistics Network

The attestation towards environmental, statutory obligations and economic interests arising from rehabilitation operations in recent years has led to more focus on reverse logistics operations. To this end, integration of the design of reverse and forward logistics networks which results in prevention of sub optimality due to separated design of these networks is of high significance. This model discusses a mixed-integer nonlinear programming model for the integrated design of multi-level and multi-commodity forward-reverse supply chain network. In the end, the calculation results of the proposed model solution have been presented via GAMS software in order to locate facilities, determine the relationship between facilities and raw material procurement rate and production rate. The result of the solved multi-purpose models has corroborated the single-purpose models and it shows the efficiency of the used methods.

[1]  Turan Paksoy,et al.  A genetic algorithm approach for optimising a closed-loop supply chain network with crisp and fuzzy objectives , 2014 .

[2]  George Mavrotas,et al.  An improved version of the augmented ε-constraint method (AUGMECON2) for finding the exact pareto set in multi-objective integer programming problems , 2013, Appl. Math. Comput..

[3]  Mike Bernon,et al.  An integrated approach to managing reverse logistics , 2007 .

[4]  Reza Tavakkoli-Moghaddam,et al.  An evolutionary algorithm for a new multi-objective location-inventory model in a distribution network with transportation modes and third-party logistics providers , 2015 .

[5]  Der-Horng Lee,et al.  A HEURISTIC APPROACH TO LOGISTICS NETWORK DESIGN FOR END-OF-LEASE COMPUTER PRODUCTS RECOVERY , 2008 .

[6]  Behrooz Karimi,et al.  Closed-loop supply chain network design under a fuzzy environment , 2014, Knowl. Based Syst..

[7]  Turan Paksoy,et al.  Modeling and optimizing the integrated problem of closed-loop supply chain network design and disassembly line balancing , 2014 .

[8]  Reza Tavakkoli-Moghaddam,et al.  Fuzzy Possibilistic Modeling for Closed Loop Recycling Collection Networks , 2012, Environmental Modeling & Assessment.

[9]  Mir Saman Pishvaee,et al.  A robust optimization approach to closed-loop supply chain network design under uncertainty , 2011 .

[10]  Saman Hassanzadeh Amin,et al.  A multi-objective facility location model for closed-loop supply chain network under uncertain demand and return , 2013 .

[11]  Saman Hassanzadeh Amin,et al.  An integrated model for closed-loop supply chain configuration and supplier selection: Multi-objective approach , 2012, Expert Syst. Appl..

[12]  Ali Amiri,et al.  Production , Manufacturing and Logistics Designing a distribution network in a supply chain system : Formulation and efficient solution procedure , 2005 .

[13]  Reza Tavakkoli-Moghaddam,et al.  Reliable design of a closed loop supply chain network under uncertainty: An interval fuzzy possibilistic chance-constrained model , 2013 .

[14]  Ehsan Nikbakhsh,et al.  A parallel variable neighborhood search for the multi-objective sustainable post-sales network design problem , 2013 .

[15]  Mir Saman Pishvaee,et al.  An accelerated Benders decomposition algorithm for sustainable supply chain network design under uncertainty: A case study of medical needle and syringe supply chain , 2014 .

[16]  Jacqueline M. Bloemhof-Ruwaard,et al.  THE IMPACT OF PRODUCT RECOVERY ON LOGISTICS NETWORK DESIGN , 2001 .

[17]  T. Santoso A stochastic programming approach for supply chain network design under uncertainty , 2004 .

[18]  Mir Saman Pishvaee,et al.  A stochastic optimization model for integrated forward/reverse logistics network design , 2009 .

[19]  Reza Tavakkoli-Moghaddam,et al.  A new multi-objective stochastic model for a forward/reverse logistic network design with responsiveness and quality level , 2013 .

[20]  Reza Tavakkoli-Moghaddam,et al.  A dynamic pricing approach for returned products in integrated forward/reverse logistics network design , 2013 .

[21]  Fariborz Jolai,et al.  Robust and reliable forward–reverse logistics network design under demand uncertainty and facility disruptions , 2014 .

[22]  Reza Tavakkoli-Moghaddam,et al.  A multi-objective fuzzy goal programming model for reverse supply chain design , 2014 .

[23]  Jafar Razmi,et al.  Introducing a mixed-integer non-linear fuzzy model for risk management in designing supply chain networks , 2013 .

[24]  Reza Tavakkoli-Moghaddam,et al.  An interactive possibilistic programming approach for a multi-objective closed-loop supply chain network under uncertainty , 2014, Int. J. Syst. Sci..