Tire forward and reverse supply chain design considering customer relationship management

Abstract During the last decade, reverse logistics networks have grown dramatically within many supply chains in different industries. Several evolving factors including economic climate, green image, environment protection laws and social respolities force companies to revise their strategies. In this paper, a tire forward and reverse supply chain is designed, and a multi-objective, multi-period, multi-product mixed integer linear programming model considering uncertainty is developed. Moreover, a novel idea of integrating customer relationship management concept and supply chain management is proposed and incorporated into the mathematical modeling framework. The proposed scenario-based multi-objective model is then solved following robust optimization and revised multi-choice goal programming approaches. In order to discuss the managerial implications of the model and its results, the realization rates of the objectives, considering their importance to the supply chain, are illustrated. The model is implemented in LINGO 9 software package and solved utilizing the branch-and-bound method. The results demonstrate the applicability of the model in real world situations.

[1]  Jerffeson Souza,et al.  A robust optimization approach to the next release problem in the presence of uncertainties , 2015, J. Syst. Softw..

[2]  Nezir Aydin,et al.  Stochastic reverse logistics network design for waste of electrical and electronic equipment , 2015 .

[3]  Kin Keung Lai,et al.  A robust optimization model for a cross-border logistics problem with fleet composition in an uncertain environment , 2002 .

[4]  Selin Soner Kara,et al.  A stochastic optimization approach for paper recycling reverse logistics network design under uncertainty , 2010 .

[5]  Robert J. Vanderbei,et al.  Robust Optimization of Large-Scale Systems , 1995, Oper. Res..

[6]  Matthew J. Realff,et al.  Robust reverse production system design for carpet recycling , 2004 .

[7]  A. Charnes,et al.  Management Models and Industrial Applications of Linear Programming , 1961 .

[8]  Ching-Ter Chang,et al.  Multi-choice goal programming , 2007 .

[9]  Study and Explores on CRM based on the Supply Chain Integration , 2011 .

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

[11]  Mohammad Mahdi Paydar,et al.  An engine oil closed-loop supply chain design considering collection risk , 2017, Comput. Chem. Eng..

[12]  Márcio de Almeida D'Agosto,et al.  Value chain analysis applied to the scrap tire reverse logistics chain: An applied study of co-processing in the cement industry , 2013 .

[13]  Ezio Santagata,et al.  Life cycle assessment applied to bituminous mixtures containing recycled materials: Crumb rubber and reclaimed asphalt pavement , 2017 .

[14]  Vladimir Simic,et al.  Interval-parameter chance-constrained programming model for uncertainty-based decision making in tire retreading industry , 2017 .

[15]  Davide Lo Presti,et al.  Recycled Tyre Rubber Modified Bitumens for road asphalt mixtures: A literature review☆ , 2013 .

[16]  John M. Mulvey,et al.  A New Scenario Decomposition Method for Large-Scale Stochastic Optimization , 1995, Oper. Res..

[17]  M. Rahimi,et al.  Sustainable multi-period reverse logistics network design and planning under uncertainty utilizing conditional value at risk (CVaR) for recycling construction and demolition waste , 2018 .

[18]  Adil Baykasoğlu,et al.  Designing an environmentally conscious tire closed-loop supply chain network with multiple recovery options using interactive fuzzy goal programming , 2015 .

[19]  Ching-Ter Chang Revised multi-choice goal programming , 2008 .

[20]  Alexander Kracklauer,et al.  The Integration of Supply Chain Management and Customer Relationship Management , 2004 .

[21]  Saman Hassanzadeh Amin,et al.  A possibilistic solution to configure a battery closed-loop supply chain: Multi-objective approach , 2018, Expert Syst. Appl..

[22]  Saman Hassanzadeh Amin,et al.  Effects of uncertainty on a tire closed-loop supply chain network , 2017, Expert Syst. Appl..

[23]  Erwin van der Laan,et al.  Quantitative models for reverse logistics: A review , 1997 .

[24]  Abu Bakar Mahat,et al.  Integrated forward and reverse supply chain: A tire case study. , 2017, Waste management.

[25]  C. Grönroos Service Management and Marketing: A Customer Relationship Management Approach , 2000 .

[26]  Farzad Dehghanian,et al.  Designing sustainable recovery network of end-of-life products using genetic algorithm , 2009 .