How to cite this paper
Motlagh, M., Rezaei, M & Naeeni, M. (2013). An integrated approach for supply-production planning in a supply chain.Management Science Letters , 3(6), 1599-1610.
Refrences
Agrawal, N., & Cohen, M. A. (2001). Optimal material control in an assembly system with
component commonality. Naval Research Logistics (NRL), 48(5), 409-429.
Axs?ter, S., & Juntti, L. (1996). Comparison of echelon stock and installation stock policies for twolevel inventory systems. International Journal of Production Economics, 45(1), 303-310.
Bhakoo, V., Singh, P., & Sohal, A. (2012). Collaborative management of inventory in Australian
hospital supply chains: practices and issues. Supply Chain Management: An International
Journal, 17(2), 217-230.
Blos, M. F., Quaddus, M., Wee, H. M., & Watanabe, K. (2009). Supply chain risk management
(SCRM): a case study on the automotive and electronic industries in Brazil. Supply Chain
Management: An International Journal, 14(4), 247-252.
Chan, F. T., Chung, S. H., & Wadhwa, S. (2005). A hybrid genetic algorithm for production and
distribution. Omega, 33(4), 345-355.
de Kok, T. G., & Visschers, J. W. (1999). Analysis of assembly systems with service level
constraints. International Journal of Production Economics, 59(1), 313-326.
Fujiwara, O., Yue, X., Sangaradas, K., & Luong, H. T. (1998). Evaluation of performance measures
for multi-part, single-product Kanban controlled assembly systems with stochastic acquisition and
production lead times. International Journal of Production Research, 36(5), 1427-1444.
Gurnani, H., Akella, R., & Lehoczky, J. (1996). Optimal order policies in assembly systems with
random demand and random supplier delivery. IIE transactions, 28(11), 865-878.
Haixu, S., & Bhaba, R. (1998). Designing a mixed-model assembly line to minimize the costs of idle
and utility times. Computers & industrial engineering,34(3), 609-628.
Michalewicz, Z. (1998). Genetic algorithms+ data structures= evolution programs. springer.
Msimangira, K. A. (2003). Purchasing and supply chain management practices in Botswana. Supply
Chain Management: An International Journal, 8(1), 7-11.
Nasiri, G. R., Davoudpour, H., & Karimi, B. (2010). The impact of integrated analysis on supply
chain management: a coordinated approach for inventory control policy. Supply Chain
Management: An International Journal, 15(4), 277-289.
Nonino, F., & Panizzolo, R. (2007). Integrated production/distribution planning in the supply chain:
the Febal case study. Supply Chain Management: An International Journal, 12(2), 150-163.
Park, M. W., & Kim, Y. D. (1999). A heuristic algorithm for a production planning problem in an
assembly system. Journal of the Operational Research Society, 50(2), 138-147.
Park, M. W., & Kim, Y. D. (2000). A branch and bound algorithm for a production scheduling
problem in an assembly system under due date constraints. European Journal of Operational
Research, 123(3), 504-518.
Powell, S. G., & Pyke, D. F. (1998). Buffering unbalanced assembly systems. IIE transactions, 30(1),
55-65.
Rosenblatt, M. J., & Lee, H. L. (1996). The effects of work-in-process inventory costs on the design
and scheduling of assembly lines with low throughput and high component costs. IIE
transactions, 28(5), 405-414.
Sadeghi Moghadam, M. R., Afsar, A., & Sohrabi, B. (2008). Inventory lot-sizing with supplier
selection using hybrid intelligent algorithm. Applied Soft Computing, 8(4), 1523-1529.
Samaranayake, P. (2005). A conceptual framework for supply chain management: a structural
integration. Supply Chain Management: An International Journal, 10(1), 47-59.
Sarker, R., & Newton, C. (2002). A genetic algorithm for solving economic lot size scheduling
problem. Computers & Industrial Engineering, 42(2), 189-198.
Simatupang, T. M., Sandroto, I. V., & Lubis, S. H. (2004). Supply chain coordination in a fashion
firm. Supply Chain Management: An International Journal, 9(3), 256-268.
Woarawichai C., Kullpattaranirun T. and Rungreunganun V. (2010). Applying genetic algorithms for
inventory lot-sizing problem with supplier selection under storage space. Asian International
Journal of Science and Technology in Production and Manufacturing Engineering, 3(4), 37-45.
component commonality. Naval Research Logistics (NRL), 48(5), 409-429.
Axs?ter, S., & Juntti, L. (1996). Comparison of echelon stock and installation stock policies for twolevel inventory systems. International Journal of Production Economics, 45(1), 303-310.
Bhakoo, V., Singh, P., & Sohal, A. (2012). Collaborative management of inventory in Australian
hospital supply chains: practices and issues. Supply Chain Management: An International
Journal, 17(2), 217-230.
Blos, M. F., Quaddus, M., Wee, H. M., & Watanabe, K. (2009). Supply chain risk management
(SCRM): a case study on the automotive and electronic industries in Brazil. Supply Chain
Management: An International Journal, 14(4), 247-252.
Chan, F. T., Chung, S. H., & Wadhwa, S. (2005). A hybrid genetic algorithm for production and
distribution. Omega, 33(4), 345-355.
de Kok, T. G., & Visschers, J. W. (1999). Analysis of assembly systems with service level
constraints. International Journal of Production Economics, 59(1), 313-326.
Fujiwara, O., Yue, X., Sangaradas, K., & Luong, H. T. (1998). Evaluation of performance measures
for multi-part, single-product Kanban controlled assembly systems with stochastic acquisition and
production lead times. International Journal of Production Research, 36(5), 1427-1444.
Gurnani, H., Akella, R., & Lehoczky, J. (1996). Optimal order policies in assembly systems with
random demand and random supplier delivery. IIE transactions, 28(11), 865-878.
Haixu, S., & Bhaba, R. (1998). Designing a mixed-model assembly line to minimize the costs of idle
and utility times. Computers & industrial engineering,34(3), 609-628.
Michalewicz, Z. (1998). Genetic algorithms+ data structures= evolution programs. springer.
Msimangira, K. A. (2003). Purchasing and supply chain management practices in Botswana. Supply
Chain Management: An International Journal, 8(1), 7-11.
Nasiri, G. R., Davoudpour, H., & Karimi, B. (2010). The impact of integrated analysis on supply
chain management: a coordinated approach for inventory control policy. Supply Chain
Management: An International Journal, 15(4), 277-289.
Nonino, F., & Panizzolo, R. (2007). Integrated production/distribution planning in the supply chain:
the Febal case study. Supply Chain Management: An International Journal, 12(2), 150-163.
Park, M. W., & Kim, Y. D. (1999). A heuristic algorithm for a production planning problem in an
assembly system. Journal of the Operational Research Society, 50(2), 138-147.
Park, M. W., & Kim, Y. D. (2000). A branch and bound algorithm for a production scheduling
problem in an assembly system under due date constraints. European Journal of Operational
Research, 123(3), 504-518.
Powell, S. G., & Pyke, D. F. (1998). Buffering unbalanced assembly systems. IIE transactions, 30(1),
55-65.
Rosenblatt, M. J., & Lee, H. L. (1996). The effects of work-in-process inventory costs on the design
and scheduling of assembly lines with low throughput and high component costs. IIE
transactions, 28(5), 405-414.
Sadeghi Moghadam, M. R., Afsar, A., & Sohrabi, B. (2008). Inventory lot-sizing with supplier
selection using hybrid intelligent algorithm. Applied Soft Computing, 8(4), 1523-1529.
Samaranayake, P. (2005). A conceptual framework for supply chain management: a structural
integration. Supply Chain Management: An International Journal, 10(1), 47-59.
Sarker, R., & Newton, C. (2002). A genetic algorithm for solving economic lot size scheduling
problem. Computers & Industrial Engineering, 42(2), 189-198.
Simatupang, T. M., Sandroto, I. V., & Lubis, S. H. (2004). Supply chain coordination in a fashion
firm. Supply Chain Management: An International Journal, 9(3), 256-268.
Woarawichai C., Kullpattaranirun T. and Rungreunganun V. (2010). Applying genetic algorithms for
inventory lot-sizing problem with supplier selection under storage space. Asian International
Journal of Science and Technology in Production and Manufacturing Engineering, 3(4), 37-45.