How to cite this paper
Matinrad, N., Roghanian, E & Rasi, Z. (2013). Supply chain network optimization: A review of classification, models, solution techniques and future research.Uncertain Supply Chain Management, 1(1), 1-24.
Refrences
Almeder, C., Preusser, M., & Hartl, R. F. (2008). Simulation and optimization of supply chains: alternative or complementary approaches? OR Spectrum, 31(1), 95–119.
Al-Othman, W. B. E., Lababidi, H. M. S., Alatiqi, I. M., & Al-Shayji, K. (2008). Supply chain optimization of petroleum organization under uncertainty in market demands and prices. European Journal of Operational Research, 189(3), 822–840.
Ambrosino, D., & Grazia Scutellá, M. (2005). Distribution network design: New problems and related models. European Journal of Operational Research, 165(3), 610–624.
Başligil, H., Kara, S. S., Alcan, P., Özkan, B., & Gözde Çağlar, E. (2011). A distribution network optimization problem for third party logistics service providers. Expert Systems with Applications, 38(10), 12730–12738.
Ballou, R.H. (2005). Business logistics management. Englewood Cliffs: Prentice Hall.
Beamon, B. M. (1998). Supply Chain Design and Analysis: Models and Methods. Int. J. Prod. Econ., 55, 281.
Bounovas, V., Papadopoulos, A., Seferlis, P., & Voutetakis, S. (2011). Energy Supply Chain Optimization under Demand Variation and Emission Constraints. Chemical Engineering Transactions, 25, 1043–1048. Retrieved from http://onlinelibrary.wiley.com/doi/10.1002/cbdv.200490137/abstract
Bredström, D., Lundgren, J. T., Rönnqvist, M., Carlsson, D., & Mason, A. (2004). Supply chain optimization in the pulp mill industry––IP models, column generation and novel constraint branches. European Journal of Operational Research, 156(1), 2–22.
Cakravastia, A., Toha, I. S., & Nakamura, N. (2002). A two-stage model for the design of supply chain networks. International Journal of Production Economics, 80(3), 231–248.
Canel, C., & Khumawala, B.M. (2001). International facilities location: A heuristic procedure for the dynamic uncapacitated problem. International Journal of Production Research, 39 (30), 3975–4000.
Cardona-Valdés, Y., Alvarez, A., & Ozdemir, D. (2011). A bi-objective supply chain design problem with uncertainty. Transportation Research Part C: …, 19, 821–832.
Chan, C. K., Hou, S. H., & Langevin, A. (2012). Advances in optimization and design of supply chains. International Journal of Production Economics, 135(1), 1–3.
Chan, F., & Chung, S. (2004b). Multi-criteria genetic optimization for distribution network problems. The International Journal of Advanced …, 24, 517–532.
Chan, F. T., & Chung, S. (2004a). A multi-criterion genetic algorithm for order distribution in a demand driven supply chain. International Journal of Computer Integrated Manufacturing, 17(4), 339–351.
Chan, F. T. S., Chung, S. H., & Choy, K. L. (2006). Optimization of Order Fulfillment in Distribution Network Problems. Journal of Intelligent Manufacturing, 17(3), 307–319.
Chan, F. T. S., Chung, S. H., & Wadhwa, S. (2004). A heuristic methodology for order distribution in a demand driven collaborative supply chain. International Journal of Production Research, 42(1), 1–19.
Chen, C.-L., & Lee, W.-C. (2004). Multi-objective optimization of multi-echelon supply chain networks with uncertain product demands and prices. Computers & Chemical Engineering, 28(6-7), 1131–1144.
Chen, C.-L., Yuan, T.-W., & Lee, W.-C. (2007). Multi-criteria fuzzy optimization for locating warehouses and distribution centers in a supply chain network. Journal of the Chinese Institute of Chemical Engineers, 38(5-6), 393–407.
Chopra, S., & Meindl, P. (2001). Supply chain management: Strategy, planning and operation. Englewood Cliffs: Prentice Hall.
Chopra, S., & Meindl, P. (2004). Supply Chain Management: Strategy, Planning and Operation. Englewood Cliffs: Prentice Hall.
Christopher, M. (1992). Logistics and supply chain management: strategies for reducing costs and improving services. Financial Times. Pitman Publishing, London.
Cintron, A., Ravindran, a. R., & Ventura, J. a. (2010). Multi-criteria mathematical model for designing the distribution network of a consumer goods company. Computers & Industrial Engineering, 58(4), 584–593.
Craven, B. D. (2007). Modelling inventories in a network. Optimization Letters, 1(4), 401–406.
Creazza, A., Dallari, F., & Rossi, T. (2012). Applying an integrated logistics network design and optimisation model: the Pirelli Tyre Case. International Journal of Production …, (October), 37–41. Retrieved from http://www.tandfonline.com/doi/abs/10.1080/00207543.2011.588614
Ding, H., Benyoucef, L., & Xie, X. (2006). A simulation-based multi-objective genetic algorithm approach for networked enterprises optimization. Engineering Applications of Artificial Intelligence, 19(6), 609–623.
Ding, H., Benyoucef, L., & Xie, X. (2009). Stochastic multi-objective production-distribution network design using simulation-based optimization. International Journal of Production Research, 47(2), 479–505.
Georgiadis, M. C., Tsiakis, P., Longinidis, P., & Sofioglou, M. K. (2011). Optimal design of supply chain networks under uncertain transient demand variations. Omega, 39(3), 254–272.
Geunes, J., & Pardalos, P. M. (2003). Network optimization in supply chain management and financial engineering: An annotated bibliography. Networks, 42(2), 66–84.
Grunow, M., Günther, H.-O., & Westinner, R. (2007). Supply optimization for the production of raw sugar. International Journal of Production Economics, 110(1-2), 224–239.
Guillen-Gosalbez, G., Mele, F., & Grossmann, I. (2010). A biâ€criterion optimization approach for the design and planning of hydrogen supply chains for vehicle use. AIChE Journal, 56(3).
Gumus, A. T., Guneri, A. F., & Keles, S. (2009). Supply chain network design using an integrated neuro-fuzzy and MILP approach: A comparative design study. Expert Systems with Applications, 36(10), 12570–12577.
Herty, M., & Ringhofer, C. (2007). Optimization for supply chain models with policies. Physica A: Statistical Mechanics and its Applications, 380, 651–664.
Kim, J., Lee, Y., & Moon, I. (2008). Optimization of a hydrogen supply chain under demand uncertainty. International Journal of Hydrogen Energy, 33(18), 4715–4729.
Lakhal, S., Martel, A., Kettani, O., & Oral, M. (2001). On the optimization of supply chain networking decisions. European Journal of Operational Research, 129(2), 259–270.
Lau, H. C. W., Chan, T. M., Tsui, W. T., Chan, F. T. S., Ho, G. T. S., & Choy, K. L. (2009). A fuzzy guided multi-objective evolutionary algorithm model for solving transportation problem. Expert Systems with Applications, 36(4), 8255–8268.
Liao, S.-H., Hsieh, C.-L., & Lai, P.-J. (2011). An evolutionary approach for multi-objective optimization of the integrated location–inventory distribution network problem in vendor-managed inventory. Expert Systems with Applications, 38(6), 6768–6776.
Liao, S.-H., Hsieh, C.-L., & Lin, Y.-S. (2010). A multi-objective evolutionary optimization approach for an integrated location-inventory distribution network problem under vendor-managed inventory systems. Annals of Operations Research, 186(1), 213–229.
Mahnam, M., Yadollahpour, M. R., Famil-Dardashti, V., & Hejazi, S. R. (2009). Supply chain modeling in uncertain environment with bi-objective approach. Computers & Industrial Engineering, 56(4), 1535–1544.
Meixell, M.J., & Gargeya, V.B. (2005). Global Supply Chain Design: A Literature Review and Critique. Transportation Research Part E, 41, 531-550.
Melo, M.T., Nickel, S., & Saldanha-da-Gama, F. (2009). Facility location and supply chain management—A review. European Journal of Operational Research, 196 (2), 401–412.
Mo, J., Qi, L., & Wei, Z. (2005). A manufacturing supply chain optimization model for distilling process. Applied Mathematics and Computation, 171(1), 464–485.
Monteiro, M. M., Leal, J. E., & Raupp, F. M. P. (2010). A Four-Type Decision-Variable MINLP Model for a Supply Chain Network Design. Mathematical Problems in Engineering, 2010, 1–16.
Nagurney, A. (2009). A system-optimization perspective for supply chain network integration: The horizontal merger case. Transportation Research Part E: Logistics and Transportation Review, 45(1), 1–15.
Nagurney, A. (2010). Optimal supply chain network design and redesign at minimal total cost and with demand satisfaction. International Journal of Production Economics, 128(1), 200–208.
Paksoy, T., Özceylan, E., & Weber, G. (2010). A multi objective model for optimization of a green supply chain network. AIP Conference Proceedings, 311(2010), 311–320.
Paksoy, T., Özceylan, E., & Weber, G.-W. (2012a). Profit oriented supply chain network optimization. Central European Journal of Operations Research.
Paksoy, T., Pehlivan, N. Y., & Özceylan, E. (2012b). Application of fuzzy optimization to a supply chain network design: A case study of an edible vegetable oils manufacturer. Applied Mathematical Modelling, 36(6), 2762–2776.
Paksoy, T., & Yapici Pehlivan, N. (2012). A fuzzy linear programming model for the optimization of multi-stage supply chain networks with triangular and trapezoidal membership functions. Journal of the Franklin Institute, 349(1), 93–109.
Perea-López, E., Ydstie, B. E., & Grossmann, I. E. (2003). A model predictive control strategy for supply chain optimization. Computers & Chemical Engineering, 27(8-9), 1201–1218.
Pishvaee, M. S., & Torabi, S. a. (2010). A possibilistic programming approach for closed-loop supply chain network design under uncertainty. Fuzzy Sets and Systems, 161(20), 2668–2683.
Shirazi, B., Fazlollahtabar, H., & Shafiei, D. (2008). A Genetic Approach to Optimize Mathematical Model of Facilities Relocation Problem in Supply Chain. Journal of Applied Sciences, 8(18), 3119–3128.
Shukla, S. K., Tiwari, M. K., Wan, H.-D., & Shankar, R. (2010). Optimization of the supply chain network: Simulation, Taguchi, and Psychoclonal algorithm embedded approach. Computers & Industrial Engineering, 58(1), 29–39.
Simchi-Levi, D., Kaminski, P., & Simchi-Levi, E., (2005). Designing and managing the supply chain: concepts, strategies and casestudies. 2nd ed. McGraw Hill, New York.
Tako, A., & Robinson, S. (2011). The application of discrete event simulation and system dynamics in the logistics and supply chain context. Decision Support Systems, 52(4), 802–815.
Teo, C.P. & Shu., J. (2004). Warehouse–retailer network design problem. Operations Research, 52 (3), 396–408.
Truong, T.H. and Azadivar, F. (2005). Optimal design methodologies for configuration of supply chains. International Journal of Production Research, 43 (11), 2217–2236.
Venkatadri, U., Srinivasan, A., Montreuil, B., & Saraswat, A. (2006). Optimization-based decision support for order promising in supply chain networks. International Journal of Production Economics, 103(1), 117–130.
Wang, F., Lai, X., & Shi, N. (2011). A multi-objective optimization for green supply chain network design. Decision Support Systems, 51(2), 262–269.
Wang, H. S. (2009). A two-phase ant colony algorithm for multi-echelon defective supply chain network design. European Journal of Operational Research, 192(1), 243–252.
Wee, H. M., & Yang, P. C. (2004). The optimal and heuristic solutions of a distribution network. European Journal of Operational Research, 158(3), 626–632.
Wu, C., Barnes, D., Rosenberg, D., & Luo, X. (2009). An analytic network process-mixed integer multi-objective programming model for partner selection in agile supply chains. Production Planning & Control, 20(3), 254–275.
Wu, S. D., & Golbasi, H. (2004). Multi-Item, Multi-Facility Supply Chain Planning: Models, Complexities, and Algorithms. Computational Optimization and Applications, 28(3), 325–356.
Yang, G., Wang, Z., & Li, X. (2009). The optimization of the closed-loop supply chain network. Transportation Research Part E: Logistics and Transportation Review, 45(1), 16–28.
Zhang, X., Huang, G.Q., & Rungtusanatham, M.J., (2008). Simultaneous configuration of platform products and manufacturing supply chains. International Journal of Production Research, 46 (21), 6137–6162.
Al-Othman, W. B. E., Lababidi, H. M. S., Alatiqi, I. M., & Al-Shayji, K. (2008). Supply chain optimization of petroleum organization under uncertainty in market demands and prices. European Journal of Operational Research, 189(3), 822–840.
Ambrosino, D., & Grazia Scutellá, M. (2005). Distribution network design: New problems and related models. European Journal of Operational Research, 165(3), 610–624.
Başligil, H., Kara, S. S., Alcan, P., Özkan, B., & Gözde Çağlar, E. (2011). A distribution network optimization problem for third party logistics service providers. Expert Systems with Applications, 38(10), 12730–12738.
Ballou, R.H. (2005). Business logistics management. Englewood Cliffs: Prentice Hall.
Beamon, B. M. (1998). Supply Chain Design and Analysis: Models and Methods. Int. J. Prod. Econ., 55, 281.
Bounovas, V., Papadopoulos, A., Seferlis, P., & Voutetakis, S. (2011). Energy Supply Chain Optimization under Demand Variation and Emission Constraints. Chemical Engineering Transactions, 25, 1043–1048. Retrieved from http://onlinelibrary.wiley.com/doi/10.1002/cbdv.200490137/abstract
Bredström, D., Lundgren, J. T., Rönnqvist, M., Carlsson, D., & Mason, A. (2004). Supply chain optimization in the pulp mill industry––IP models, column generation and novel constraint branches. European Journal of Operational Research, 156(1), 2–22.
Cakravastia, A., Toha, I. S., & Nakamura, N. (2002). A two-stage model for the design of supply chain networks. International Journal of Production Economics, 80(3), 231–248.
Canel, C., & Khumawala, B.M. (2001). International facilities location: A heuristic procedure for the dynamic uncapacitated problem. International Journal of Production Research, 39 (30), 3975–4000.
Cardona-Valdés, Y., Alvarez, A., & Ozdemir, D. (2011). A bi-objective supply chain design problem with uncertainty. Transportation Research Part C: …, 19, 821–832.
Chan, C. K., Hou, S. H., & Langevin, A. (2012). Advances in optimization and design of supply chains. International Journal of Production Economics, 135(1), 1–3.
Chan, F., & Chung, S. (2004b). Multi-criteria genetic optimization for distribution network problems. The International Journal of Advanced …, 24, 517–532.
Chan, F. T., & Chung, S. (2004a). A multi-criterion genetic algorithm for order distribution in a demand driven supply chain. International Journal of Computer Integrated Manufacturing, 17(4), 339–351.
Chan, F. T. S., Chung, S. H., & Choy, K. L. (2006). Optimization of Order Fulfillment in Distribution Network Problems. Journal of Intelligent Manufacturing, 17(3), 307–319.
Chan, F. T. S., Chung, S. H., & Wadhwa, S. (2004). A heuristic methodology for order distribution in a demand driven collaborative supply chain. International Journal of Production Research, 42(1), 1–19.
Chen, C.-L., & Lee, W.-C. (2004). Multi-objective optimization of multi-echelon supply chain networks with uncertain product demands and prices. Computers & Chemical Engineering, 28(6-7), 1131–1144.
Chen, C.-L., Yuan, T.-W., & Lee, W.-C. (2007). Multi-criteria fuzzy optimization for locating warehouses and distribution centers in a supply chain network. Journal of the Chinese Institute of Chemical Engineers, 38(5-6), 393–407.
Chopra, S., & Meindl, P. (2001). Supply chain management: Strategy, planning and operation. Englewood Cliffs: Prentice Hall.
Chopra, S., & Meindl, P. (2004). Supply Chain Management: Strategy, Planning and Operation. Englewood Cliffs: Prentice Hall.
Christopher, M. (1992). Logistics and supply chain management: strategies for reducing costs and improving services. Financial Times. Pitman Publishing, London.
Cintron, A., Ravindran, a. R., & Ventura, J. a. (2010). Multi-criteria mathematical model for designing the distribution network of a consumer goods company. Computers & Industrial Engineering, 58(4), 584–593.
Craven, B. D. (2007). Modelling inventories in a network. Optimization Letters, 1(4), 401–406.
Creazza, A., Dallari, F., & Rossi, T. (2012). Applying an integrated logistics network design and optimisation model: the Pirelli Tyre Case. International Journal of Production …, (October), 37–41. Retrieved from http://www.tandfonline.com/doi/abs/10.1080/00207543.2011.588614
Ding, H., Benyoucef, L., & Xie, X. (2006). A simulation-based multi-objective genetic algorithm approach for networked enterprises optimization. Engineering Applications of Artificial Intelligence, 19(6), 609–623.
Ding, H., Benyoucef, L., & Xie, X. (2009). Stochastic multi-objective production-distribution network design using simulation-based optimization. International Journal of Production Research, 47(2), 479–505.
Georgiadis, M. C., Tsiakis, P., Longinidis, P., & Sofioglou, M. K. (2011). Optimal design of supply chain networks under uncertain transient demand variations. Omega, 39(3), 254–272.
Geunes, J., & Pardalos, P. M. (2003). Network optimization in supply chain management and financial engineering: An annotated bibliography. Networks, 42(2), 66–84.
Grunow, M., Günther, H.-O., & Westinner, R. (2007). Supply optimization for the production of raw sugar. International Journal of Production Economics, 110(1-2), 224–239.
Guillen-Gosalbez, G., Mele, F., & Grossmann, I. (2010). A biâ€criterion optimization approach for the design and planning of hydrogen supply chains for vehicle use. AIChE Journal, 56(3).
Gumus, A. T., Guneri, A. F., & Keles, S. (2009). Supply chain network design using an integrated neuro-fuzzy and MILP approach: A comparative design study. Expert Systems with Applications, 36(10), 12570–12577.
Herty, M., & Ringhofer, C. (2007). Optimization for supply chain models with policies. Physica A: Statistical Mechanics and its Applications, 380, 651–664.
Kim, J., Lee, Y., & Moon, I. (2008). Optimization of a hydrogen supply chain under demand uncertainty. International Journal of Hydrogen Energy, 33(18), 4715–4729.
Lakhal, S., Martel, A., Kettani, O., & Oral, M. (2001). On the optimization of supply chain networking decisions. European Journal of Operational Research, 129(2), 259–270.
Lau, H. C. W., Chan, T. M., Tsui, W. T., Chan, F. T. S., Ho, G. T. S., & Choy, K. L. (2009). A fuzzy guided multi-objective evolutionary algorithm model for solving transportation problem. Expert Systems with Applications, 36(4), 8255–8268.
Liao, S.-H., Hsieh, C.-L., & Lai, P.-J. (2011). An evolutionary approach for multi-objective optimization of the integrated location–inventory distribution network problem in vendor-managed inventory. Expert Systems with Applications, 38(6), 6768–6776.
Liao, S.-H., Hsieh, C.-L., & Lin, Y.-S. (2010). A multi-objective evolutionary optimization approach for an integrated location-inventory distribution network problem under vendor-managed inventory systems. Annals of Operations Research, 186(1), 213–229.
Mahnam, M., Yadollahpour, M. R., Famil-Dardashti, V., & Hejazi, S. R. (2009). Supply chain modeling in uncertain environment with bi-objective approach. Computers & Industrial Engineering, 56(4), 1535–1544.
Meixell, M.J., & Gargeya, V.B. (2005). Global Supply Chain Design: A Literature Review and Critique. Transportation Research Part E, 41, 531-550.
Melo, M.T., Nickel, S., & Saldanha-da-Gama, F. (2009). Facility location and supply chain management—A review. European Journal of Operational Research, 196 (2), 401–412.
Mo, J., Qi, L., & Wei, Z. (2005). A manufacturing supply chain optimization model for distilling process. Applied Mathematics and Computation, 171(1), 464–485.
Monteiro, M. M., Leal, J. E., & Raupp, F. M. P. (2010). A Four-Type Decision-Variable MINLP Model for a Supply Chain Network Design. Mathematical Problems in Engineering, 2010, 1–16.
Nagurney, A. (2009). A system-optimization perspective for supply chain network integration: The horizontal merger case. Transportation Research Part E: Logistics and Transportation Review, 45(1), 1–15.
Nagurney, A. (2010). Optimal supply chain network design and redesign at minimal total cost and with demand satisfaction. International Journal of Production Economics, 128(1), 200–208.
Paksoy, T., Özceylan, E., & Weber, G. (2010). A multi objective model for optimization of a green supply chain network. AIP Conference Proceedings, 311(2010), 311–320.
Paksoy, T., Özceylan, E., & Weber, G.-W. (2012a). Profit oriented supply chain network optimization. Central European Journal of Operations Research.
Paksoy, T., Pehlivan, N. Y., & Özceylan, E. (2012b). Application of fuzzy optimization to a supply chain network design: A case study of an edible vegetable oils manufacturer. Applied Mathematical Modelling, 36(6), 2762–2776.
Paksoy, T., & Yapici Pehlivan, N. (2012). A fuzzy linear programming model for the optimization of multi-stage supply chain networks with triangular and trapezoidal membership functions. Journal of the Franklin Institute, 349(1), 93–109.
Perea-López, E., Ydstie, B. E., & Grossmann, I. E. (2003). A model predictive control strategy for supply chain optimization. Computers & Chemical Engineering, 27(8-9), 1201–1218.
Pishvaee, M. S., & Torabi, S. a. (2010). A possibilistic programming approach for closed-loop supply chain network design under uncertainty. Fuzzy Sets and Systems, 161(20), 2668–2683.
Shirazi, B., Fazlollahtabar, H., & Shafiei, D. (2008). A Genetic Approach to Optimize Mathematical Model of Facilities Relocation Problem in Supply Chain. Journal of Applied Sciences, 8(18), 3119–3128.
Shukla, S. K., Tiwari, M. K., Wan, H.-D., & Shankar, R. (2010). Optimization of the supply chain network: Simulation, Taguchi, and Psychoclonal algorithm embedded approach. Computers & Industrial Engineering, 58(1), 29–39.
Simchi-Levi, D., Kaminski, P., & Simchi-Levi, E., (2005). Designing and managing the supply chain: concepts, strategies and casestudies. 2nd ed. McGraw Hill, New York.
Tako, A., & Robinson, S. (2011). The application of discrete event simulation and system dynamics in the logistics and supply chain context. Decision Support Systems, 52(4), 802–815.
Teo, C.P. & Shu., J. (2004). Warehouse–retailer network design problem. Operations Research, 52 (3), 396–408.
Truong, T.H. and Azadivar, F. (2005). Optimal design methodologies for configuration of supply chains. International Journal of Production Research, 43 (11), 2217–2236.
Venkatadri, U., Srinivasan, A., Montreuil, B., & Saraswat, A. (2006). Optimization-based decision support for order promising in supply chain networks. International Journal of Production Economics, 103(1), 117–130.
Wang, F., Lai, X., & Shi, N. (2011). A multi-objective optimization for green supply chain network design. Decision Support Systems, 51(2), 262–269.
Wang, H. S. (2009). A two-phase ant colony algorithm for multi-echelon defective supply chain network design. European Journal of Operational Research, 192(1), 243–252.
Wee, H. M., & Yang, P. C. (2004). The optimal and heuristic solutions of a distribution network. European Journal of Operational Research, 158(3), 626–632.
Wu, C., Barnes, D., Rosenberg, D., & Luo, X. (2009). An analytic network process-mixed integer multi-objective programming model for partner selection in agile supply chains. Production Planning & Control, 20(3), 254–275.
Wu, S. D., & Golbasi, H. (2004). Multi-Item, Multi-Facility Supply Chain Planning: Models, Complexities, and Algorithms. Computational Optimization and Applications, 28(3), 325–356.
Yang, G., Wang, Z., & Li, X. (2009). The optimization of the closed-loop supply chain network. Transportation Research Part E: Logistics and Transportation Review, 45(1), 16–28.
Zhang, X., Huang, G.Q., & Rungtusanatham, M.J., (2008). Simultaneous configuration of platform products and manufacturing supply chains. International Journal of Production Research, 46 (21), 6137–6162.