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An inventory model with generalized type demand, deterioration and backorder rates

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  • Hung, Kuo-Chen

Abstract

This study is motivated by the paper of Skouri et al. [Skouri, Konstantaras, Papachristos, Ganas, European Journal of Operational Research 192 (1) (2009) 79-92]. We extend their inventory model from ramp type demand rate and Weibull deterioration rate to arbitrary demand rate and arbitrary deterioration rate in the consideration of partial backorder. We demonstrate that the optimal solution is actually independent of demand. That is, for a finite time horizon, any attempt at tackling targeted inventory models under ramp type or any other types of the demand becomes redundant. Our analytical approach dramatically simplifies the solution procedure.

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  • Hung, Kuo-Chen, 2011. "An inventory model with generalized type demand, deterioration and backorder rates," European Journal of Operational Research, Elsevier, vol. 208(3), pages 239-242, February.
    • Handle: RePEc:eee:ejores:v:208:y:2011:i:3:p:239-242
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    1. Michael Resh & Moshe Friedman & Lineu C. Barbosa, 1976. "On a General Solution of the Deterministic Lot Size Problem with Time-Proportional Demand," Operations Research, INFORMS, vol. 24(4), pages 718-725, August.
    2. Deng, Peter Shaohua & Lin, Robert H.-J. & Chu, Peter, 2007. "A note on the inventory models for deteriorating items with ramp type demand rate," European Journal of Operational Research, Elsevier, vol. 178(1), pages 112-120, April.
    3. P. L. Abad, 1996. "Optimal Pricing and Lot-Sizing Under Conditions of Perishability and Partial Backordering," Management Science, INFORMS, vol. 42(8), pages 1093-1104, August.
    4. Manna, S.K. & Chaudhuri, K.S., 2006. "An EOQ model with ramp type demand rate, time dependent deterioration rate, unit production cost and shortages," European Journal of Operational Research, Elsevier, vol. 171(2), pages 557-566, June.
    5. Skouri, K. & Konstantaras, I. & Papachristos, S. & Ganas, I., 2009. "Inventory models with ramp type demand rate, partial backlogging and Weibull deterioration rate," European Journal of Operational Research, Elsevier, vol. 192(1), pages 79-92, January.
    6. Wee, Hui-Ming, 1995. "Joint pricing and replenishment policy for deteriorating inventory with declining market," International Journal of Production Economics, Elsevier, vol. 40(2-3), pages 163-171, August.
    7. S. Panda & S. Saha & M. Basu, 2007. "An Eoq Model With Generalized Ramp-Type Demand And Weibull Distribution Deterioration," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 24(01), pages 93-109.
    8. Chu, Peter & Yang, Kuo-Lung & Liang, Shing-Ko & Niu, Thomas, 2004. "Note on inventory model with a mixture of back orders and lost sales," European Journal of Operational Research, Elsevier, vol. 159(2), pages 470-475, December.
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    Cited by:

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    3. Yu-Lan Wang & Ming-Li Chen & Peterson Julian, 2022. "Maximum-Profit Inventory Model with Generalized Deterioration Rate," Mathematics, MDPI, vol. 10(17), pages 1-14, September.
    4. Sudip Adak & G. S. Mahapatra, 2022. "Effect of reliability on multi-item inventory system with shortages and partial backlog incorporating time dependent demand and deterioration," Annals of Operations Research, Springer, vol. 315(2), pages 1551-1571, August.
    5. Bakker, Monique & Riezebos, Jan & Teunter, Ruud H., 2012. "Review of inventory systems with deterioration since 2001," European Journal of Operational Research, Elsevier, vol. 221(2), pages 275-284.
    6. Tai, Allen H. & Xie, Yue & Ching, Wai-Ki, 2016. "Inspection policy for inventory system with deteriorating products," International Journal of Production Economics, Elsevier, vol. 173(C), pages 22-29.
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    8. Huang, Yeu-Shiang & Su, Wei-Jun & Lin, Zu-Liang, 2011. "A study on lead-time discount coordination for deteriorating products," European Journal of Operational Research, Elsevier, vol. 215(2), pages 358-366, December.
    9. Bhaskar Bhaula & Jayanta Kumar Dash & M. Rajendra Kumar, 2019. "An optimal inventory model for perishable items under successive price discounts with permissible delay in payments," OPSEARCH, Springer;Operational Research Society of India, vol. 56(1), pages 261-281, March.
    10. Majumder, P. & Bera, U.K. & Maiti, M., 2016. "An EPQ model for two-warehouse in unremitting release pattern with two-level trade credit period concerning both supplier and retailer," Applied Mathematics and Computation, Elsevier, vol. 274(C), pages 430-458.
    11. Tai, Allen H. & Xie, Yue & He, Wanhua & Ching, Wai-Ki, 2019. "Joint inspection and inventory control for deteriorating items with random maximum lifetime," International Journal of Production Economics, Elsevier, vol. 207(C), pages 144-162.
    12. Lin, Shih-Wei, 2011. "Inventory models with managerial policy independent of demand," European Journal of Operational Research, Elsevier, vol. 211(3), pages 520-524, June.
    13. Taleizadeh, Ata Allah, 2014. "An EOQ model with partial backordering and advance payments for an evaporating item," International Journal of Production Economics, Elsevier, vol. 155(C), pages 185-193.
    14. Dye, Chung-Yuan & Hsieh, Tsu-Pang, 2012. "An optimal replenishment policy for deteriorating items with effective investment in preservation technology," European Journal of Operational Research, Elsevier, vol. 218(1), pages 106-112.
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    16. Xu, Xinsheng & Wang, Hongwei & Dang, Chuangyin & Ji, Ping, 2017. "The loss-averse newsvendor model with backordering," International Journal of Production Economics, Elsevier, vol. 188(C), pages 1-10.

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