A Multiobjective Optimization Model in Automotive Supply Chain Networks

In the new decade, green investment decisions are attracting more interest in design supply chains due to the hidden economic benefits and environmental legislative barriers. In this paper, a supply chain network design problem with both economic and environmental concerns is presented. Therefore, a multiobjective optimization model that captures the trade-off between the total logistics cost and CO2 emissions is proposed. With regard to the complexity of logistic networks, a new multiobjective swarm intelligence algorithm known as a multiobjective Gravitational search algorithm (MOGSA) has been implemented for solving the proposed mathematical model. To evaluate the effectiveness of the model, a comprehensive set of numerical experiments is explained. The results obtained show that the proposed model can be applied as an effective tool in strategic planning for optimizing cost and CO2 emissions in an environmentally friendly automotive supply chain.

[1]  Modjtaba Rouhani,et al.  A Multi-objective Gravitational Search Algorithm , 2010, CICSyN.

[2]  Sunil Chopra,et al.  Designing the distribution network in a supply chain , 2003 .

[3]  Prem Vrat,et al.  A goal programming model for paper recycling system , 2008 .

[4]  I. Elamvazuthi,et al.  Swarm intelligence and gravitational search algorithm for multi-objective optimization of synthesis gas production , 2013 .

[5]  Mir Saman Pishvaee,et al.  A memetic algorithm for bi-objective integrated forward/reverse logistics network design , 2010, Comput. Oper. Res..

[6]  Mir Saman Pishvaee,et al.  Reverse logistics network design using simulated annealing , 2010 .

[7]  Hossein Nezamabadi-pour,et al.  Filter modeling using gravitational search algorithm , 2011, Eng. Appl. Artif. Intell..

[8]  Mark S. Daskin,et al.  Capacitated facility location/network design problems , 2001, Eur. J. Oper. Res..

[9]  Benita M. Beamon,et al.  Supply-chain network configuration for product recovery , 2004 .

[10]  Benita M. Beamon,et al.  A multi-objective approach to simultaneous strategic and operational planning in supply chain design , 2000 .

[11]  Ahmed El-Shafie,et al.  A modified gravitational search algorithm for slope stability analysis , 2012, Eng. Appl. Artif. Intell..

[12]  E. Plambeck.  Reducing greenhouse gas emissions through operations and supply chain management , 2012 .

[13]  Aniruddha Bhattacharya,et al.  Multi-objective economic emission load dispatch solution using gravitational search algorithm and considering wind power penetration , 2013 .

[14]  Ryan Merrick,et al.  Environmental Assessment of Shipment Release Policies , 2010 .

[15]  Thomas Stützle,et al.  Ant colony optimization: artificial ants as a computational intelligence technique , 2006 .

[16]  Muneendra Ojha,et al.  Optimizing Supply Chain Management Using Gravitational Search Algorithm and Multi Agent System , 2012, SocProS.

[17]  Turan Paksoy,et al.  A MULTI OBJECTIVE MODEL FOR OPTIMIZATION OF A GREEN SUPPLY CHAIN NETWORK , 2010 .

[18]  Otto Rentz,et al.  Modeling reverse logistic tasks within closed-loop supply chains: An example from the automotive industry , 2006, Eur. J. Oper. Res..

[19]  Gerald W. Evans,et al.  A bi-objective reverse logistics network analysis for post-sale service , 2008, Comput. Oper. Res..

[20]  Milan Janic,et al.  Trade-Off between Carbon Dioxide Emissions and Logistics Costs Based on Multiobjective Optimization , 2009 .

[21]  Samir Elhedhli,et al.  Green supply chain network design to reduce carbon emissions , 2012 .

[22]  Josefa Mula,et al.  Quantitative models for supply chain planning under uncertainty: a review , 2009 .

[23]  Jianzhong Zhou,et al.  Parameters identification of hydraulic turbine governing system using improved gravitational search algorithm , 2011 .

[24]  D. Vlachos,et al.  A system dynamics modeling framework for the strategic supply chain management of food chains , 2005 .

[25]  John R. Current,et al.  A multiobjective modeling approach to locating incinerators , 2009 .

[26]  Ioannis Mallidis,et al.  Operations Research for green logistics - An overview of aspects, issues, contributions and challenges , 2011, Eur. J. Oper. Res..

[27]  Thomas Stützle,et al.  The Ant Colony Optimization Metaheuristic: Algorithms, Applications, and Advances , 2003 .

[28]  Jian-Bo Yang,et al.  System dynamics modelling for supply-chain management: a case study on a supermarket chain in the UK , 2004 .

[29]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[30]  Stacy Cagle Davis,et al.  Transportation energy data book , 2008 .

[31]  Bijaya K. Panigrahi,et al.  Multi-Objective Evolutionary Algorithms , 2009, Encyclopedia of Artificial Intelligence.

[32]  Xiaofan Lai,et al.  A multi-objective optimization for green supply chain network design , 2011, Decis. Support Syst..

[33]  Carlos A. Coello Coello,et al.  A particle swarm optimizer for multi-objective optimization , 2005 .

[34]  Marco Dorigo,et al.  The ant colony optimization meta-heuristic , 1999 .

[35]  V K Vishwa,et al.  Environmental integrated closed loop logistics model: An artificial bee colony approach , 2010, 2010 8th International Conference on Supply Chain Management and Information.

[36]  Corinne Reich-Weiser,et al.  A discussion of greenhouse gas emission tradeoffs and water scarcity within the supply chain , 2009 .

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

[38]  Turan Paksoy,et al.  A genetic algorithm approach for multi-objective optimization of supply chain networks , 2006, Comput. Ind. Eng..

[39]  Liping Zhou,et al.  Regional Δ14C patterns and fossil fuel derived CO2 distribution in the Beijing area using annual plants , 2011 .

[40]  Miguel A. Vega-Rodríguez,et al.  Meta-schedulers for grid computing based on multi-objective swarm algorithms , 2013, Appl. Soft Comput..

[41]  Jean-François Cordeau,et al.  An integrated model for logistics network design , 2006, Ann. Oper. Res..

[42]  Mitsuo Gen,et al.  Genetic algorithms and engineering design , 1997 .

[43]  Ruoying Sun,et al.  An Ant Colony Optimization Approach to Multi-Objective Supply Chain Model , 2008, 2008 Second International Conference on Secure System Integration and Reliability Improvement.

[44]  Amos H. C. Ng,et al.  Multi-Objective Optimisation in Manufacturing Supply Chain Systems Design: A Comprehensive Survey and New Directions , 2011, Multi-objective Evolutionary Optimisation for Product Design and Manufacturing.

[45]  Gilles Goncalves,et al.  A multi-objective green supply chain network design , 2011, 2011 4th International Conference on Logistics.

[46]  Hossein Nezamabadi-pour,et al.  GSA: A Gravitational Search Algorithm , 2009, Inf. Sci..