How to cite this paper
Gharehyakheh, A & Tavakkoli-Moghaddam, R. (2012). A fuzzy solution approach for a multi-objective integrated production-distribution model with multi products and multi periods under uncertainty.Management Science Letters , 2(7), 2425-2434.
Refrences
Aliev, R.A., Fazlollahi, B., Guirimov, B.G., & Aliev, R.R. (2007). Fuzzy-genetic approach to aggregate production–distribution planning in supply chain management. Information Sciences, 177(20), 4241-4255.
Arenas Parra, M., Bilbao Terol, A., Pérez Gladish, B., & Rodr??guez Ur??a, M.V. (2005). Solving a multiobjective possibilistic problem through compromise programming. European Journal of Operational Research, 164(3), 748-759.
Armentano, V.A., Shiguemoto, A.L., & L?kketangen, A. (2011). Tabu search with path relinking for an integrated production–distribution problem. Computers & Operations Research, 38(8), 1199-1209.
Bard, J.F., & N. Nananukul, A. (2010). Branch-and-price algorithm for an integrated production and inventory routing problem. Computers & Operations Research, 37(12), 2202-2217.
Bauso, D., Blanchini, F., & Pesenti, R. (2010). Average Flow Constraints and Stabilizability in Uncertain Production-Distribution Systems. Journal of Optimization Theory and Applications, 144(1), 12-28.
Bhatnagar, R., Chandra, P., & Goyal, S.K. (1993). Models for multi-plant coordination. European Journal of Operational Research, 67(2), 141-160.
Bilge, B. (2010). Application of fuzzy mathematical programming approach to the production allocation and distribution supply chain network problem. Expert Systems with Applications, 37(6), 4488-4495.
Boudia, M., & Prins, C. (2009). A memetic algorithm with dynamic population management for an integrated production–distribution problem. European Journal of Operational Research, 195(3), 703-715.
Boudia, M., Louly, M.A.O., Prins, C. (2007). A reactive GRASP and path relinking for a combined production–distribution problem. Computers & Operations Research, 34(11), 3402-3419.
Christiansen, M., & Nygreen, B. (1998). A method for solving ship routing problems with inventory constraints. Annals of Operations Research, 81(0), 357-378.
Dror, M., & Ball, M. (1987). Inventory/routing: Reduction from an annual to a short-period problem. Naval Research Logistics, 34(6), 891-905.
Gendreau, M., Laporte, G., & Séguin, R. (1996). Stochastic vehicle routing. European Journal of Operational Research, 88(1), 3-12.
Inuiguchi, M., & Rami´k, J. (2000). Possibilistic linear programming: a brief review of fuzzy mathematical programming and a comparison with stochastic programming in portfolio selection problem. Fuzzy Sets and Systems, 111(1), 3-28.
Jiménez, M., Arenas, M., Bilbao, A., & Victoria Rodr?guez, M. (2007). Linear programming with fuzzy parameters: An interactive method resolution. European Journal of Operational Research, 177(3), 1599-1609.
Jiménez, M. (1996). Ranking fuzzy numbers through the comparison of its expected intervals. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 4(4), 379-388.
Lai, Y.-J., & Hwang, C.L. (1993). Possibilistic linear programming for managing interest rate risk. Fuzzy Sets and Systems, 54(2), 135-146.
Lei, L., Liu, S., Ruszczynski, A., & Park, S. (2006). On the integrated production, inventory, and distribution routing problem. IIE Transactions, 38(11), 955-970.
Messac, A., Puemi-Sukam, C., & Melachrinoudis, E. (2000). Aggregate Objective Functions and Pareto Frontiers: Required Relationships and Practical Implications. Optimization and Engineering, 1(2), 171-188.
Mula, J., Poler, R., Garc?a-Sabater, J.P., & Lario, F.C. (2006). Models for production planning under uncertainty: A review. International Journal of Production Economics, 103(1), 271-285.
Peidro, D., Mula, J., Jiménez, M., del Mar Botella, M. (2010). A fuzzy linear programming based approach for tactical supply chain planning in an uncertainty environment. European Journal of Operational Research, 205(1), 65-80.
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.
Sabri, E.H., & Beamon, B.M. (2000). A multi-objective approach to simultaneous strategic and operational planning in supply chain design. Omega, 28(5), 581-598.
Selim, H., Araz, C., & Ozkarahan, I. (2008). Collaborative production–distribution planning in supply chain: A fuzzy goal programming approach. Transportation Research Part E: Logistics and Transportation Review, 44(3), 396-419.
Shiguemoto, A.L., & Armentano, V.A. (2010). A tabu search procedure for coordinating production, inventory and distribution routing problems. International Transactions in Operational Research, 17(2), 179-195.
Thomas, D.J., & Griffin, P.M. (1996). Coordinated supply chain management. European Journal of Operational Research, 94(1), 1-15.
Tien-Fu, L. (2011). Application of fuzzy sets to manufacturing/distribution planning decisions in supply chains. Information Sciences, 181(4), 842-854.
Tien-Fu, L. (2008). Fuzzy multi-objective production/distribution planning decisions with multi-product and multi-time period in a supply chain. Computers & Industrial Engineering, 55(3), 676-694.
Toth, P., & Vigo, D. (2002). Models, relaxations and exact approaches for the capacitated vehicle routing problem. Discrete Applied Mathematics, 123(1–3), 487-512.
Vidal, C.J., & Goetschalckx, M. (1997). Strategic production-distribution models: A critical review with emphasis on global supply chain models. European Journal of Operational Research, 98(1), 1-18.
Wang, R.-C., & Liang, T.-F. (2005). Applying possibilistic linear programming to aggregate production planning. International Journal of Production Economics, 98(3), 328-341.
Zubair, M.M. (1999). An integrated production-distribution model for a multi-national company operating under varying exchange rates. International Journal of Production Economics, 58(1), 81-92.
Arenas Parra, M., Bilbao Terol, A., Pérez Gladish, B., & Rodr??guez Ur??a, M.V. (2005). Solving a multiobjective possibilistic problem through compromise programming. European Journal of Operational Research, 164(3), 748-759.
Armentano, V.A., Shiguemoto, A.L., & L?kketangen, A. (2011). Tabu search with path relinking for an integrated production–distribution problem. Computers & Operations Research, 38(8), 1199-1209.
Bard, J.F., & N. Nananukul, A. (2010). Branch-and-price algorithm for an integrated production and inventory routing problem. Computers & Operations Research, 37(12), 2202-2217.
Bauso, D., Blanchini, F., & Pesenti, R. (2010). Average Flow Constraints and Stabilizability in Uncertain Production-Distribution Systems. Journal of Optimization Theory and Applications, 144(1), 12-28.
Bhatnagar, R., Chandra, P., & Goyal, S.K. (1993). Models for multi-plant coordination. European Journal of Operational Research, 67(2), 141-160.
Bilge, B. (2010). Application of fuzzy mathematical programming approach to the production allocation and distribution supply chain network problem. Expert Systems with Applications, 37(6), 4488-4495.
Boudia, M., & Prins, C. (2009). A memetic algorithm with dynamic population management for an integrated production–distribution problem. European Journal of Operational Research, 195(3), 703-715.
Boudia, M., Louly, M.A.O., Prins, C. (2007). A reactive GRASP and path relinking for a combined production–distribution problem. Computers & Operations Research, 34(11), 3402-3419.
Christiansen, M., & Nygreen, B. (1998). A method for solving ship routing problems with inventory constraints. Annals of Operations Research, 81(0), 357-378.
Dror, M., & Ball, M. (1987). Inventory/routing: Reduction from an annual to a short-period problem. Naval Research Logistics, 34(6), 891-905.
Gendreau, M., Laporte, G., & Séguin, R. (1996). Stochastic vehicle routing. European Journal of Operational Research, 88(1), 3-12.
Inuiguchi, M., & Rami´k, J. (2000). Possibilistic linear programming: a brief review of fuzzy mathematical programming and a comparison with stochastic programming in portfolio selection problem. Fuzzy Sets and Systems, 111(1), 3-28.
Jiménez, M., Arenas, M., Bilbao, A., & Victoria Rodr?guez, M. (2007). Linear programming with fuzzy parameters: An interactive method resolution. European Journal of Operational Research, 177(3), 1599-1609.
Jiménez, M. (1996). Ranking fuzzy numbers through the comparison of its expected intervals. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 4(4), 379-388.
Lai, Y.-J., & Hwang, C.L. (1993). Possibilistic linear programming for managing interest rate risk. Fuzzy Sets and Systems, 54(2), 135-146.
Lei, L., Liu, S., Ruszczynski, A., & Park, S. (2006). On the integrated production, inventory, and distribution routing problem. IIE Transactions, 38(11), 955-970.
Messac, A., Puemi-Sukam, C., & Melachrinoudis, E. (2000). Aggregate Objective Functions and Pareto Frontiers: Required Relationships and Practical Implications. Optimization and Engineering, 1(2), 171-188.
Mula, J., Poler, R., Garc?a-Sabater, J.P., & Lario, F.C. (2006). Models for production planning under uncertainty: A review. International Journal of Production Economics, 103(1), 271-285.
Peidro, D., Mula, J., Jiménez, M., del Mar Botella, M. (2010). A fuzzy linear programming based approach for tactical supply chain planning in an uncertainty environment. European Journal of Operational Research, 205(1), 65-80.
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.
Sabri, E.H., & Beamon, B.M. (2000). A multi-objective approach to simultaneous strategic and operational planning in supply chain design. Omega, 28(5), 581-598.
Selim, H., Araz, C., & Ozkarahan, I. (2008). Collaborative production–distribution planning in supply chain: A fuzzy goal programming approach. Transportation Research Part E: Logistics and Transportation Review, 44(3), 396-419.
Shiguemoto, A.L., & Armentano, V.A. (2010). A tabu search procedure for coordinating production, inventory and distribution routing problems. International Transactions in Operational Research, 17(2), 179-195.
Thomas, D.J., & Griffin, P.M. (1996). Coordinated supply chain management. European Journal of Operational Research, 94(1), 1-15.
Tien-Fu, L. (2011). Application of fuzzy sets to manufacturing/distribution planning decisions in supply chains. Information Sciences, 181(4), 842-854.
Tien-Fu, L. (2008). Fuzzy multi-objective production/distribution planning decisions with multi-product and multi-time period in a supply chain. Computers & Industrial Engineering, 55(3), 676-694.
Toth, P., & Vigo, D. (2002). Models, relaxations and exact approaches for the capacitated vehicle routing problem. Discrete Applied Mathematics, 123(1–3), 487-512.
Vidal, C.J., & Goetschalckx, M. (1997). Strategic production-distribution models: A critical review with emphasis on global supply chain models. European Journal of Operational Research, 98(1), 1-18.
Wang, R.-C., & Liang, T.-F. (2005). Applying possibilistic linear programming to aggregate production planning. International Journal of Production Economics, 98(3), 328-341.
Zubair, M.M. (1999). An integrated production-distribution model for a multi-national company operating under varying exchange rates. International Journal of Production Economics, 58(1), 81-92.