How to cite this paper
Mokhlesian, M., Ghomi, S & Jolai, F. (2010). Economic lot scheduling problem with consideration of money time value.International Journal of Industrial Engineering Computations , 1(2), 121-138.
Refrences
Aggarwal, S.P. & Jaggi, K.C. (1995). Ordering policies of deteriorating items under permissible delay in payments. Journal of the Operational Research Society, 46, 658-662.
Allen, S.J. (1990). Production rate planning for two products sharing a single process facility: A real world case study. Production and Inventory Management, 31, 24–29.
Aytug, H., Khouja, M., & Vergara, F.E. (2003). Use of genetic algorithm to solve production and operations management problems: A review. International Journal of Production Research, 41, 3955–4009.
Bomberger, E.E. (1966). A dynamic programming approach to a lot size scheduling problem. Management Science, 12, 778–784.
Bourland, K.E. & Yano, C.A. (1997). A comparison of solution approaches for the fixed-sequence economic lot scheduling problem. IIE-Transactions, 29, 103–108.
Chatfield, D. (2007). The economic lot scheduling problem: A pure genetic search approach. Computers and Operations Research, 34, 2865 – 2881.
Davis, S. (1990). Scheduling economic lot size production runs. Management Science, 36, 985-998.
Dobson, G. (1987). The economic lot-scheduling problem: Achieving feasibility using time-varying lot sizes. Operations Research, 35, 764–771.
Dobson, G. (1992). The cyclic lot scheduling problem with sequence-dependent setups. Operations Research, 40, 736–749.
Doll, C.L. & Whybark, D.C. (1973). An iterative procedure for the single-machine multi-product lot scheduling problem. Management Science, 20, 50–55.
Eilon, S. (1959). Economic batch-size determination for multi-product scheduling. Operations Research, 10, 217–227.
Elmaghraby, S. (1978). The economic lot scheduling problem (ELSP): Review and extension. Management Science, 24, 587–598.
Faaland, B.H., Schmitt, T.G., & Arreola-Risa, A. (2004). Economic lot scheduling with lost sales and setup times. IIE Transactions, 36, 629-640.
Feldmann, M. & Biskup, D. (2003). Single-machine scheduling for minimizing earliness and tardiness penalties by meta-heuristic approaches. Computers and Industrial Engineering, 44, 307–323.
Gaafar, L. (2006). Applying genetic algorithms to dynamic lot sizing with batch ordering. Computers and Industrial Engineering, 51, 433–444.
Gallego, G. (1990). An extension to the class of easy economic lot scheduling problem easy?. IIE Transactions, 22, 189–190.
Gallego, G. (1993). Reduced production rates in the economic lot scheduling problem. International Journal of Production Research, 31, 1035–1046.
Gallego, G. & Moon, I. (1992). The effect of externalizing setups in the economic lot scheduling problem. Operations Research, 40, 614-619.
Gallego, G., Roundy, R. (1992). The economic lot scheduling problem with finite backorder costs. Naval Research Logistics, 39, 729–739.
Gen, M. & Cheng, R. (2000). Genetic algorithm and engineering optimization. Canada: Wiley Series in Engineering Design and Automation.
Giri, B.C., Moon, I., & Yun, W.Y. (2003). Scheduling economic lot sizes in deteriorating production systems. Naval Research Logistics, 50, 650–661.
Hanssmann, F. (1962). Operations Research in Production Planning and Control. New York: John Wiley.
Hertz, A. & Widmer, M. (2003). Guidelines for the use of meta-heuristics in combinatorial optimization. European Journal of Operational Research, 151, 247–252.
Hicks, C.R., 1993. Fundamental concepts in the design of experiments. Fourth ed., New York: Oxford University Press.
Hwang, H., Kim, D., & Kim, Y. (1993). Multiproduct economic lot size models with investment costs for set-up reduction and quality improvement. International Journal of Production Research, 31, 691–703.
Jenabi, M., Fatemi Ghomi, S.M.T., Torabi, S.A., & Karimi, B. (2007). Two hybrid meta-heuristics for the finite horizon ELSP in flexible flow lines with unrelated parallel machines. Applied Mathematics and Computation, 186, (1), 230-245.
Jones, P. & Inman, R. (1989). When is the economic lot scheduling problem easy?. IIE Transactions, 21, 11–20.
Khouja, M. (1997). The economic lot scheduling problem under volume flexibility. International Journal of Production Research, 48, 73–86.
Khouja, M., Michalewicz, Z., & Wilmot, M. (1998). The use of genetic algorithms to solve the economic lot size scheduling problem. European Journal of Operational Research, 110, 509–524.
Maxwell, W.L. (1964). The scheduling of economic lot sizes. Naval Research Logisitcs Quarterly, 11, 89–124.
Moon, D. & Christy, D. (1998). Determination of optimal production rates on a single facility with dependent mold lifespan. International Journal of Production Economics, 54, 29–40.
Moon, I. (1994). Multiproduct economic lot size models with investment costs for setup reduction and quality improvements: Reviews and extensions. International Journal of Production Research, 32, 2795–2801.
Moon, I., Gallego, G., & Simchi-Levi, D. (1991). Controllable production rates in a family production context. IIE Transaction, 30, 2459–2470.
Moon, I., Giri, B., & Choi, K. (2002). Economic lot scheduling problem with imperfect production processes and setup times. Journal of Operational Research Society, 53, 620–629.
Moon, I., Hahm, J., & Lee, C. (1998). The effect of the stabilization period on the economic lot scheduling problem. IIE Transactions, 30, 1009–1017.
Moon, I., Silver, E., & Choi, S. (2002). Hybrid genetic algorithm for the economic lot-scheduling problem. International Journal of Production Research, 20, (4), 809–824.
Piñeyro, P. & Viera, O. (2010). The economic lot-sizing problem with remanufacturing and one-way substitution. International Journal of Production Economics, 124, (2), 482-488.
Raza, A.S. & Akgunduz, A. (2008). A comparative study of heuristic algorithms on economic lot scheduling problem. Computers and Industrial Engineering, 55, (1), 94-109.
Raza, S.A., Akgunduz, A., & Chen, M.Y. (2006). A tabu search algorithm for solving economic lot scheduling problem. Journal of Heuristics, 12, 413–426.
Rogers, J. (1958). A computational approach to the economic lot scheduling problem. Management Science, 4, 264–291.
Silver, E. (1990). Deliberately slowing down output in a family production context. International Journal of Production Research, 28, 17–27.
Silver, E. (1993). Perspectives in operations management: Essays in honor of E.S. Buffa. In Modelling in support of continuous improvements towards achieving world class operations, 23–44, Dordrecht: Kluwer Academic Publishers.
Silver, E. (1995). Dealing with shelf life constraint in cyclic scheduling by adjusting both cycle time and production rate. International Journal of Production Research, 33, 623–629.
Silver, E. A. (2004). An overview of heuristic solution methods. Journal of Operational Research Society, 55, 936–956.
Silver, E., Pyke, D., & Peterson, R. (1998). Inventory Management and Production Planning and Scheduling (Third edition). New York: John Wiley.
Sun, H., Huang, H., & Jaruphongsa, W. (2009). A genetic algorithm for the economic lot scheduling problem under the extended basic period and power-of-two policy. CIRP Journal of Manufacturing Science and Technology, 2, (1), 29-34.
Teunter, R., Kaparis, K., & Tang, O. (2008). Multi-product economic lot scheduling problem with separate production lines for manufacturing and remanufacturing. European Journal of Operational Research, 191, (3), 1241-1253.
Teunter, R., Kaparis, K., & Tang, O. (2009). Heuristics for the economic lot scheduling problem with returns. International Journal of Production Economics, 118, (1), 323-330.
Viswanathan, S. & Goyal, S.K. (1997). Optimal cycle time and production rate in a family production context with shelf life considerations. International Journal of Production Research, 35, 1703–1711.
Wagner, B.J. & Davis, D.J. (2002). A search heuristic for the sequence-dependent economic lot scheduling. European Journal of Operational Research, 141, 133–146.
Wang, H.F. & Wu, K.Y. (2004). Hybrid genetic algorithm for optimization problem with permutation property. Computers and Operations Research, 31(14), 2453-2471.
Wee, H. & Law, Sh., 1999. Economic production lot size for deteriorating items taking account of the time-value of money. Computers and Operations Research, 26, 545-558.
Yao, M.J. & Huang, J.X. (2005). Solving the economic lot scheduling problem with deteriorating items using genetic algorithms. Journal of Food Engineering, 70, 309–322.
Zipkin, P.H. (1991). Computing optimal lot sizes in the economic lot scheduling problem. Operations Research, 39, (1), 56-63.
Allen, S.J. (1990). Production rate planning for two products sharing a single process facility: A real world case study. Production and Inventory Management, 31, 24–29.
Aytug, H., Khouja, M., & Vergara, F.E. (2003). Use of genetic algorithm to solve production and operations management problems: A review. International Journal of Production Research, 41, 3955–4009.
Bomberger, E.E. (1966). A dynamic programming approach to a lot size scheduling problem. Management Science, 12, 778–784.
Bourland, K.E. & Yano, C.A. (1997). A comparison of solution approaches for the fixed-sequence economic lot scheduling problem. IIE-Transactions, 29, 103–108.
Chatfield, D. (2007). The economic lot scheduling problem: A pure genetic search approach. Computers and Operations Research, 34, 2865 – 2881.
Davis, S. (1990). Scheduling economic lot size production runs. Management Science, 36, 985-998.
Dobson, G. (1987). The economic lot-scheduling problem: Achieving feasibility using time-varying lot sizes. Operations Research, 35, 764–771.
Dobson, G. (1992). The cyclic lot scheduling problem with sequence-dependent setups. Operations Research, 40, 736–749.
Doll, C.L. & Whybark, D.C. (1973). An iterative procedure for the single-machine multi-product lot scheduling problem. Management Science, 20, 50–55.
Eilon, S. (1959). Economic batch-size determination for multi-product scheduling. Operations Research, 10, 217–227.
Elmaghraby, S. (1978). The economic lot scheduling problem (ELSP): Review and extension. Management Science, 24, 587–598.
Faaland, B.H., Schmitt, T.G., & Arreola-Risa, A. (2004). Economic lot scheduling with lost sales and setup times. IIE Transactions, 36, 629-640.
Feldmann, M. & Biskup, D. (2003). Single-machine scheduling for minimizing earliness and tardiness penalties by meta-heuristic approaches. Computers and Industrial Engineering, 44, 307–323.
Gaafar, L. (2006). Applying genetic algorithms to dynamic lot sizing with batch ordering. Computers and Industrial Engineering, 51, 433–444.
Gallego, G. (1990). An extension to the class of easy economic lot scheduling problem easy?. IIE Transactions, 22, 189–190.
Gallego, G. (1993). Reduced production rates in the economic lot scheduling problem. International Journal of Production Research, 31, 1035–1046.
Gallego, G. & Moon, I. (1992). The effect of externalizing setups in the economic lot scheduling problem. Operations Research, 40, 614-619.
Gallego, G., Roundy, R. (1992). The economic lot scheduling problem with finite backorder costs. Naval Research Logistics, 39, 729–739.
Gen, M. & Cheng, R. (2000). Genetic algorithm and engineering optimization. Canada: Wiley Series in Engineering Design and Automation.
Giri, B.C., Moon, I., & Yun, W.Y. (2003). Scheduling economic lot sizes in deteriorating production systems. Naval Research Logistics, 50, 650–661.
Hanssmann, F. (1962). Operations Research in Production Planning and Control. New York: John Wiley.
Hertz, A. & Widmer, M. (2003). Guidelines for the use of meta-heuristics in combinatorial optimization. European Journal of Operational Research, 151, 247–252.
Hicks, C.R., 1993. Fundamental concepts in the design of experiments. Fourth ed., New York: Oxford University Press.
Hwang, H., Kim, D., & Kim, Y. (1993). Multiproduct economic lot size models with investment costs for set-up reduction and quality improvement. International Journal of Production Research, 31, 691–703.
Jenabi, M., Fatemi Ghomi, S.M.T., Torabi, S.A., & Karimi, B. (2007). Two hybrid meta-heuristics for the finite horizon ELSP in flexible flow lines with unrelated parallel machines. Applied Mathematics and Computation, 186, (1), 230-245.
Jones, P. & Inman, R. (1989). When is the economic lot scheduling problem easy?. IIE Transactions, 21, 11–20.
Khouja, M. (1997). The economic lot scheduling problem under volume flexibility. International Journal of Production Research, 48, 73–86.
Khouja, M., Michalewicz, Z., & Wilmot, M. (1998). The use of genetic algorithms to solve the economic lot size scheduling problem. European Journal of Operational Research, 110, 509–524.
Maxwell, W.L. (1964). The scheduling of economic lot sizes. Naval Research Logisitcs Quarterly, 11, 89–124.
Moon, D. & Christy, D. (1998). Determination of optimal production rates on a single facility with dependent mold lifespan. International Journal of Production Economics, 54, 29–40.
Moon, I. (1994). Multiproduct economic lot size models with investment costs for setup reduction and quality improvements: Reviews and extensions. International Journal of Production Research, 32, 2795–2801.
Moon, I., Gallego, G., & Simchi-Levi, D. (1991). Controllable production rates in a family production context. IIE Transaction, 30, 2459–2470.
Moon, I., Giri, B., & Choi, K. (2002). Economic lot scheduling problem with imperfect production processes and setup times. Journal of Operational Research Society, 53, 620–629.
Moon, I., Hahm, J., & Lee, C. (1998). The effect of the stabilization period on the economic lot scheduling problem. IIE Transactions, 30, 1009–1017.
Moon, I., Silver, E., & Choi, S. (2002). Hybrid genetic algorithm for the economic lot-scheduling problem. International Journal of Production Research, 20, (4), 809–824.
Piñeyro, P. & Viera, O. (2010). The economic lot-sizing problem with remanufacturing and one-way substitution. International Journal of Production Economics, 124, (2), 482-488.
Raza, A.S. & Akgunduz, A. (2008). A comparative study of heuristic algorithms on economic lot scheduling problem. Computers and Industrial Engineering, 55, (1), 94-109.
Raza, S.A., Akgunduz, A., & Chen, M.Y. (2006). A tabu search algorithm for solving economic lot scheduling problem. Journal of Heuristics, 12, 413–426.
Rogers, J. (1958). A computational approach to the economic lot scheduling problem. Management Science, 4, 264–291.
Silver, E. (1990). Deliberately slowing down output in a family production context. International Journal of Production Research, 28, 17–27.
Silver, E. (1993). Perspectives in operations management: Essays in honor of E.S. Buffa. In Modelling in support of continuous improvements towards achieving world class operations, 23–44, Dordrecht: Kluwer Academic Publishers.
Silver, E. (1995). Dealing with shelf life constraint in cyclic scheduling by adjusting both cycle time and production rate. International Journal of Production Research, 33, 623–629.
Silver, E. A. (2004). An overview of heuristic solution methods. Journal of Operational Research Society, 55, 936–956.
Silver, E., Pyke, D., & Peterson, R. (1998). Inventory Management and Production Planning and Scheduling (Third edition). New York: John Wiley.
Sun, H., Huang, H., & Jaruphongsa, W. (2009). A genetic algorithm for the economic lot scheduling problem under the extended basic period and power-of-two policy. CIRP Journal of Manufacturing Science and Technology, 2, (1), 29-34.
Teunter, R., Kaparis, K., & Tang, O. (2008). Multi-product economic lot scheduling problem with separate production lines for manufacturing and remanufacturing. European Journal of Operational Research, 191, (3), 1241-1253.
Teunter, R., Kaparis, K., & Tang, O. (2009). Heuristics for the economic lot scheduling problem with returns. International Journal of Production Economics, 118, (1), 323-330.
Viswanathan, S. & Goyal, S.K. (1997). Optimal cycle time and production rate in a family production context with shelf life considerations. International Journal of Production Research, 35, 1703–1711.
Wagner, B.J. & Davis, D.J. (2002). A search heuristic for the sequence-dependent economic lot scheduling. European Journal of Operational Research, 141, 133–146.
Wang, H.F. & Wu, K.Y. (2004). Hybrid genetic algorithm for optimization problem with permutation property. Computers and Operations Research, 31(14), 2453-2471.
Wee, H. & Law, Sh., 1999. Economic production lot size for deteriorating items taking account of the time-value of money. Computers and Operations Research, 26, 545-558.
Yao, M.J. & Huang, J.X. (2005). Solving the economic lot scheduling problem with deteriorating items using genetic algorithms. Journal of Food Engineering, 70, 309–322.
Zipkin, P.H. (1991). Computing optimal lot sizes in the economic lot scheduling problem. Operations Research, 39, (1), 56-63.