How to cite this paper
Rabbani, M., Zia, N & Rafiei, H. (2014). Optimal dynamic pricing and replenishment policies for deteriorating items.International Journal of Industrial Engineering Computations , 5(4), 621-630.
Refrences
Abad, P. L. (2003). Optimal pricing and lot-sizing under conditions of perishability, finite production and partial backordering and lost sale. European Journal of Operational Research, 144(3), 677–685.
Abad, P. L. (2008). Optimal price and order size under partial backordering incorporating shortage, backorder and lost sale costs. International Journal of Production Economics, 114(1), 179–186.
Avinadav, T., Herbon, A., & Spiegel, U. (2013). Optimal Inventory Policy for a Perishable Item with Demand Function Sensitive to Price and Time. International Journal of Production Economics, 144(2),497–506.
Begum, R., Sahoo, R. R., Sahu, S. K., & Mishra, M. (2009). An EOQ Model for Varying Items with Weibull Distribution Deterioration and Price-dependent Demand. Journal of Scientific Research, 2(1), 24–36.
Begum, R., Sahoo, R. R., & Sahu, S. K. (2012). A replenishment policy for items with price-dependent demand, time-proportional deterioration and no shortages. International Journal of Systems Science, 43(5), 903–910.
Cai, X., Feng, Y., Li, Y., & Shi, D. (2013). Optimal pricing policy for a deteriorating product by dynamic tracking control. International Journal of Production Research, 51(8), 2491–2504.
Cohen, M. A. (1977). Joint pricing and ordering policy for exponentially decaying inventory with known demand. Naval Research Logistics Quarterly, 24(2), 257–268.
Coy, P. (2000). The power of smart pricing. Business week, (April 10), 160.
Dye, C. Y. (2007). Joint pricing and ordering policy for a deteriorating inventory with partial backlogging. Omega, 35(2), 184–189.
Dye, C. Y. (2012). A finite horizon deteriorating inventory model with two-phase pricing and time-varying demand and cost under trade credit financing using particle swarm optimization. Swarm and Evolutionary Computation, 5, 37–53.
Dye, C. Y., Hsieh, T. P., & Ouyang, L. Y. (2007). Determining optimal selling price and lot size with a varying rate of deterioration and exponential partial backlogging. European Journal of Operational Research, 181(2), 668–678.
Geetha, K. V., & Uthayakumar, R. (2010). Economic design of an inventory policy for non-instantaneous deteriorating items under permissible delay in payments. Journal of Computational and Applied Mathematics, 233(10), 2492-2505.
Ghoreishi, M., Mirzazadeh, A., & Weber, G. W. (2013). Optimal pricing and ordering policy for non-instantaneous deteriorating items under inflation and customer returns. Optimization, (ahead-of-print), 1-20.
Hsieh, T. P., & Dye, C. Y. (2010). Pricing and lot-sizing policies for deteriorating items with partial backlogging under inflation. Expert Systems with Applications, 37(10), 7234-7242.
Hsu, P. H., Wee, H. M., & Teng, H. M. (2007). Optimal ordering decision for deteriorating items with expiration date and uncertain lead time. Computers & Industrial Engineering, 52(4), 448–458.
Kang, S., & Kim, I. T., (1983). A study on the price and production level of the deteriorating inventory system. The International Journal of Production Research, 21(6), 899–908.
Khanlarzade, N., Yegane, B. Y., Kamalabadi, I. N., & Farughi, H. (2014). Inventory control with deteriorating items: A state-of-the-art literature review. International Journal of Industrial Engineering Computations, 5(2), 179–198.
Maihami, R., & Abadi, I. N. K. (2012). Joint control of inventory and its pricing for non-instantaneously deteriorating items under permissible delay in payments and partial backlogging. Mathematical and Computer Modelling, 55(5), 1722–1733.
Mukhopadhyay, S., Mukherjee, R. N., & Chaudhuri, K. S. (2004). Joint pricing and ordering policy for a deteriorating inventory. Computers & Industrial Engineering, 47(4), 339–349.
Mukhopadhyay, S., Mukherjee, R. N., & Chaudhuri, K. S. (2005). An EOQ model with two-parameter Weibull distribution deterioration and price-dependent demand. International Journal of Mathematical Education in Science and Technology, 36(1), 25–33.
Papachristos, S., & Skouri, K. (2003). An inventory model with deteriorating items, quantity discount, pricing and time-dependent partial backlogging. International Journal of Production Economics, 83(3), 247–256.
Shah, N. H., & Raykundaliya, N. (2010). Retailers’ Pricing and Ordering Strategy for Weibull Distribution Deterioration under Trade Credit in Declining Market. Applied Mathematical Sciences, 4(21), 1011–1020.
Shah, N. H., Soni, H. N., & Patel, K. A. (2013). Optimizing inventory and marketing policy for non-instantaneous deteriorating items with generalized type deterioration and holding cost rates. Omega, 41(2), 421-430.
Soni, H. N., & Joshi, M. (2013). A fuzzy framework for coordinating pricing and inventory policies for deteriorating items under retailer partial trade credit financing. Computers & Industrial Engineering, 66, 865-878.
Soni, H. N., & Patel, K. A. (2012). Optimal pricing and inventory policies for non-instantaneous deteriorating items with permissible delay in payment: Fuzzy expected value model. International Journal of Industrial Engineering Computations, 3, 281-300.
Soni, H. N., & Patel, K. A. (2013). Joint pricing and replenishment policies for non-instantaneous deteriorating items with imprecise deterioration free time and credibility constraint. Computers & Industrial Engineering, 66, 944-951.
Teng, J. T., Ouyang, L. Y., & Chen, L. H. (2007). A comparison between two pricing and lot-sizing models with partial backlogging and deteriorated items. International Journal of Production Economics, 105(1), 190–203.
Tripathy, C. K., & Pradhan, L. M. (2011). Optimal Pricing & Ordering Policy for three parameter Weibull deterioration under trade credit. International Journal of Mathematical Analysis, 5(6), 275–284.
Tsao, Y. C., & Sheen, G. J. (2008). Dynamic pricing, promotion and replenishment policies for a deteriorating item under permissible delay in payments. Computers & Operations Research, 35(11), 3562–3580
Valliathal, M., & Uthayakumar, R. (2011). Optimal pricing and replenishment policies of an EOQ model for non-instantaneous deteriorating items with shortages. International Journal of Advanced Manufacturing Technology, 54(1-4), 361-371.
Wang, Y., Zhang, J., & Tang, W. (2013). Dynamic pricing for non-instantaneous deteriorating items. Journal of Intelligent Manufacturing, 1–12.
Wee, H. M. (1997). A replenishment policy for items with a price-dependent demand and a varying rate of deterioration. Production Planning & Control, 8(5), 494–499.
Wee, H. M. (1999). Deteriorating inventory model with quantity discount, pricing and partial backordering. International Journal of Production Economics, 59(1), 511–518.
Wu, K. S., Ouyang, L. Y., & Yang, C. T. (2009). Coordinating replenishment and pricing policies for non-instantaneous deteriorating items with price-sensitive demand. International Journal of Systems Science, 40(12), 1273–1281.
Yang, P. C. (2004). Pricing strategy for deteriorating items using quantity discount when demand is price sensitive. European Journal of Operational Research, 157(2), 389–397.
Yang, P. C., & Wee, H. M. (2003). An integrated multi-lot-size production inventory model for deteriorating item. Computers & Operations Research, 30(5), 671-682.
Abad, P. L. (2008). Optimal price and order size under partial backordering incorporating shortage, backorder and lost sale costs. International Journal of Production Economics, 114(1), 179–186.
Avinadav, T., Herbon, A., & Spiegel, U. (2013). Optimal Inventory Policy for a Perishable Item with Demand Function Sensitive to Price and Time. International Journal of Production Economics, 144(2),497–506.
Begum, R., Sahoo, R. R., Sahu, S. K., & Mishra, M. (2009). An EOQ Model for Varying Items with Weibull Distribution Deterioration and Price-dependent Demand. Journal of Scientific Research, 2(1), 24–36.
Begum, R., Sahoo, R. R., & Sahu, S. K. (2012). A replenishment policy for items with price-dependent demand, time-proportional deterioration and no shortages. International Journal of Systems Science, 43(5), 903–910.
Cai, X., Feng, Y., Li, Y., & Shi, D. (2013). Optimal pricing policy for a deteriorating product by dynamic tracking control. International Journal of Production Research, 51(8), 2491–2504.
Cohen, M. A. (1977). Joint pricing and ordering policy for exponentially decaying inventory with known demand. Naval Research Logistics Quarterly, 24(2), 257–268.
Coy, P. (2000). The power of smart pricing. Business week, (April 10), 160.
Dye, C. Y. (2007). Joint pricing and ordering policy for a deteriorating inventory with partial backlogging. Omega, 35(2), 184–189.
Dye, C. Y. (2012). A finite horizon deteriorating inventory model with two-phase pricing and time-varying demand and cost under trade credit financing using particle swarm optimization. Swarm and Evolutionary Computation, 5, 37–53.
Dye, C. Y., Hsieh, T. P., & Ouyang, L. Y. (2007). Determining optimal selling price and lot size with a varying rate of deterioration and exponential partial backlogging. European Journal of Operational Research, 181(2), 668–678.
Geetha, K. V., & Uthayakumar, R. (2010). Economic design of an inventory policy for non-instantaneous deteriorating items under permissible delay in payments. Journal of Computational and Applied Mathematics, 233(10), 2492-2505.
Ghoreishi, M., Mirzazadeh, A., & Weber, G. W. (2013). Optimal pricing and ordering policy for non-instantaneous deteriorating items under inflation and customer returns. Optimization, (ahead-of-print), 1-20.
Hsieh, T. P., & Dye, C. Y. (2010). Pricing and lot-sizing policies for deteriorating items with partial backlogging under inflation. Expert Systems with Applications, 37(10), 7234-7242.
Hsu, P. H., Wee, H. M., & Teng, H. M. (2007). Optimal ordering decision for deteriorating items with expiration date and uncertain lead time. Computers & Industrial Engineering, 52(4), 448–458.
Kang, S., & Kim, I. T., (1983). A study on the price and production level of the deteriorating inventory system. The International Journal of Production Research, 21(6), 899–908.
Khanlarzade, N., Yegane, B. Y., Kamalabadi, I. N., & Farughi, H. (2014). Inventory control with deteriorating items: A state-of-the-art literature review. International Journal of Industrial Engineering Computations, 5(2), 179–198.
Maihami, R., & Abadi, I. N. K. (2012). Joint control of inventory and its pricing for non-instantaneously deteriorating items under permissible delay in payments and partial backlogging. Mathematical and Computer Modelling, 55(5), 1722–1733.
Mukhopadhyay, S., Mukherjee, R. N., & Chaudhuri, K. S. (2004). Joint pricing and ordering policy for a deteriorating inventory. Computers & Industrial Engineering, 47(4), 339–349.
Mukhopadhyay, S., Mukherjee, R. N., & Chaudhuri, K. S. (2005). An EOQ model with two-parameter Weibull distribution deterioration and price-dependent demand. International Journal of Mathematical Education in Science and Technology, 36(1), 25–33.
Papachristos, S., & Skouri, K. (2003). An inventory model with deteriorating items, quantity discount, pricing and time-dependent partial backlogging. International Journal of Production Economics, 83(3), 247–256.
Shah, N. H., & Raykundaliya, N. (2010). Retailers’ Pricing and Ordering Strategy for Weibull Distribution Deterioration under Trade Credit in Declining Market. Applied Mathematical Sciences, 4(21), 1011–1020.
Shah, N. H., Soni, H. N., & Patel, K. A. (2013). Optimizing inventory and marketing policy for non-instantaneous deteriorating items with generalized type deterioration and holding cost rates. Omega, 41(2), 421-430.
Soni, H. N., & Joshi, M. (2013). A fuzzy framework for coordinating pricing and inventory policies for deteriorating items under retailer partial trade credit financing. Computers & Industrial Engineering, 66, 865-878.
Soni, H. N., & Patel, K. A. (2012). Optimal pricing and inventory policies for non-instantaneous deteriorating items with permissible delay in payment: Fuzzy expected value model. International Journal of Industrial Engineering Computations, 3, 281-300.
Soni, H. N., & Patel, K. A. (2013). Joint pricing and replenishment policies for non-instantaneous deteriorating items with imprecise deterioration free time and credibility constraint. Computers & Industrial Engineering, 66, 944-951.
Teng, J. T., Ouyang, L. Y., & Chen, L. H. (2007). A comparison between two pricing and lot-sizing models with partial backlogging and deteriorated items. International Journal of Production Economics, 105(1), 190–203.
Tripathy, C. K., & Pradhan, L. M. (2011). Optimal Pricing & Ordering Policy for three parameter Weibull deterioration under trade credit. International Journal of Mathematical Analysis, 5(6), 275–284.
Tsao, Y. C., & Sheen, G. J. (2008). Dynamic pricing, promotion and replenishment policies for a deteriorating item under permissible delay in payments. Computers & Operations Research, 35(11), 3562–3580
Valliathal, M., & Uthayakumar, R. (2011). Optimal pricing and replenishment policies of an EOQ model for non-instantaneous deteriorating items with shortages. International Journal of Advanced Manufacturing Technology, 54(1-4), 361-371.
Wang, Y., Zhang, J., & Tang, W. (2013). Dynamic pricing for non-instantaneous deteriorating items. Journal of Intelligent Manufacturing, 1–12.
Wee, H. M. (1997). A replenishment policy for items with a price-dependent demand and a varying rate of deterioration. Production Planning & Control, 8(5), 494–499.
Wee, H. M. (1999). Deteriorating inventory model with quantity discount, pricing and partial backordering. International Journal of Production Economics, 59(1), 511–518.
Wu, K. S., Ouyang, L. Y., & Yang, C. T. (2009). Coordinating replenishment and pricing policies for non-instantaneous deteriorating items with price-sensitive demand. International Journal of Systems Science, 40(12), 1273–1281.
Yang, P. C. (2004). Pricing strategy for deteriorating items using quantity discount when demand is price sensitive. European Journal of Operational Research, 157(2), 389–397.
Yang, P. C., & Wee, H. M. (2003). An integrated multi-lot-size production inventory model for deteriorating item. Computers & Operations Research, 30(5), 671-682.