IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v238y2014i3p654-674.html
   My bibliography  Save this article

Integrating deterioration and lifetime constraints in production and supply chain planning: A survey

Author

Listed:
  • Pahl, Julia
  • Voß, Stefan

Abstract

Items with short lifetimes that are subject to deterioration are important in the business world. Research has a long tradition in integrating deterioration and value loss effects into mathematical models for inventory planning and control where such effects are understood as a general loss or shrinkage of inventory. However, there has been little work in the modeling of lifetime restrictions of items to prevent wastage and disposals, especially in a dynamic planning context. Globalization and other trends extend the consideration of single companies to whole supply chains, implying increased coordination and information needs. This is important as planning decisions impact lead times and thus the quality of items in the whole supply chain. Products that exceed their useful lifetime can impose high costs due to inventory loss or the need to rework them. This implies increased utilization of (scarce) resources, e.g., machine time, metals, and/or energy, thereby increasing CO2-levels. We survey the state-of-the-art regarding depreciation effects and the modeling of lifetime constraints as well as a classification of models following business planning functions of the value chain. A critical evaluation of approaches and their limitations is provided, highlighting directions for future research.

Suggested Citation

  • Pahl, Julia & Voß, Stefan, 2014. "Integrating deterioration and lifetime constraints in production and supply chain planning: A survey," European Journal of Operational Research, Elsevier, vol. 238(3), pages 654-674.
  • Handle: RePEc:eee:ejores:v:238:y:2014:i:3:p:654-674
    DOI: 10.1016/j.ejor.2014.01.060
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037722171400099X
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lo, Sh-Tyan & Wee, Hui-Ming & Huang, Wen-Chang, 2007. "An integrated production-inventory model with imperfect production processes and Weibull distribution deterioration under inflation," International Journal of Production Economics, Elsevier, vol. 106(2), pages 493-505, April.
    2. Chang, Chun-Tao, 2004. "An EOQ model with deteriorating items under inflation when supplier credits linked to order quantity," International Journal of Production Economics, Elsevier, vol. 88(3), pages 307-316, April.
    3. Dye, Chung-Yuan & Ouyang, Liang-Yuh, 2005. "An EOQ model for perishable items under stock-dependent selling rate and time-dependent partial backlogging," European Journal of Operational Research, Elsevier, vol. 163(3), pages 776-783, June.
    4. Rau, Hsin & Wu, Mei-Ying & Wee, Hui-Ming, 2003. "Integrated inventory model for deteriorating items under a multi-echelon supply chain environment," International Journal of Production Economics, Elsevier, vol. 86(2), pages 155-168, November.
    5. Kopach, Renata & Balcioglu, Baris & Carter, Michael, 2008. "Tutorial on constructing a red blood cell inventory management system with two demand rates," European Journal of Operational Research, Elsevier, vol. 185(3), pages 1051-1059, March.
    6. Ouyang, Liang-Yuh & Teng, Jinn-Tsair & Goyal, Suresh Kumar & Yang, Chih-Te, 2009. "An economic order quantity model for deteriorating items with partially permissible delay in payments linked to order quantity," European Journal of Operational Research, Elsevier, vol. 194(2), pages 418-431, April.
    7. Li, Jian & Edwin Cheng, T.C. & Wang, Shouyang, 2007. "Analysis of postponement strategy for perishable items by EOQ-based models," International Journal of Production Economics, Elsevier, vol. 107(1), pages 31-38, May.
    8. L. Beril Toktay & Lawrence M. Wein & Stefanos A. Zenios, 2000. "Inventory Management of Remanufacturable Products," Management Science, INFORMS, vol. 46(11), pages 1412-1426, November.
    9. Teng, Jinn-Tsair & Ouyang, Liang-Yuh & Chen, Liang-Ho, 2007. "A comparison between two pricing and lot-sizing models with partial backlogging and deteriorated items," International Journal of Production Economics, Elsevier, vol. 105(1), pages 190-203, January.
    10. Papachristos, S. & Skouri, K., 2003. "An inventory model with deteriorating items, quantity discount, pricing and time-dependent partial backlogging," International Journal of Production Economics, Elsevier, vol. 83(3), pages 247-256, March.
    11. Liao, Jui-Jung, 2008. "An EOQ model with noninstantaneous receipt and exponentially deteriorating items under two-level trade credit," International Journal of Production Economics, Elsevier, vol. 113(2), pages 852-861, June.
    12. Chern, Maw-Sheng & Yang, Hui-Ling & Teng, Jinn-Tsair & Papachristos, Sotiris, 2008. "Partial backlogging inventory lot-size models for deteriorating items with fluctuating demand under inflation," European Journal of Operational Research, Elsevier, vol. 191(1), pages 127-141, November.
    13. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 1997. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 43(4), pages 546-558, April.
    14. Dye, Chung-Yuan & Chang, Horng-Jinh & Teng, Jinn-Tsair, 2006. "A deteriorating inventory model with time-varying demand and shortage-dependent partial backlogging," European Journal of Operational Research, Elsevier, vol. 172(2), pages 417-429, July.
    15. Hamilton Emmons, 1968. "A Replenishment Model for Radioactive Nuclide Generators," Management Science, INFORMS, vol. 14(5), pages 263-274, January.
    16. Millar, Harvey H. & Yang, Minzhu, 1994. "Lagrangian heuristics for the capacitated multi-item lot-sizing problem with backordering," International Journal of Production Economics, Elsevier, vol. 34(1), pages 1-15, February.
    17. Lee, Chun Chen, 2006. "Two-warehouse inventory model with deterioration under FIFO dispatching policy," European Journal of Operational Research, Elsevier, vol. 174(2), pages 861-873, October.
    18. He, Yong & Wang, Shou-Yang & Lai, K.K., 2010. "An optimal production-inventory model for deteriorating items with multiple-market demand," European Journal of Operational Research, Elsevier, vol. 203(3), pages 593-600, June.
    19. John B. Jennings, 1973. "Blood Bank Inventory Control," Management Science, INFORMS, vol. 19(6), pages 637-645, February.
    20. Goyal, S. K. & Giri, B. C., 2003. "The production-inventory problem of a product with time varying demand, production and deterioration rates," European Journal of Operational Research, Elsevier, vol. 147(3), pages 549-557, June.
    21. Vernon Ning Hsu, 2000. "Dynamic Economic Lot Size Model with Perishable Inventory," Management Science, INFORMS, vol. 46(8), pages 1159-1169, August.
    22. Hahn, Kyu Hun & Hwang, Hark & Shinn, Seong Whan, 2004. "A returns policy for distribution channel coordination of perishable items," European Journal of Operational Research, Elsevier, vol. 152(3), pages 770-780, February.
    23. Williams, Craig L. & Eddy Patuwo, B., 2004. "Analysis of the effect of various unit costs on the optimal incoming quantity in a perishable inventory model," European Journal of Operational Research, Elsevier, vol. 156(1), pages 140-147, July.
    24. Yang, P. C. & Wee, H. M., 2002. "A single-vendor and multiple-buyers production-inventory policy for a deteriorating item," European Journal of Operational Research, Elsevier, vol. 143(3), pages 570-581, December.
    25. Lin, Gary C. & Kroll, Dennis E. & Lin, C.J., 2006. "Determining a common production cycle time for an economic lot scheduling problem with deteriorating items," European Journal of Operational Research, Elsevier, vol. 173(2), pages 669-682, September.
    26. Yang, Hui-Ling, 2004. "Two-warehouse inventory models for deteriorating items with shortages under inflation," European Journal of Operational Research, Elsevier, vol. 157(2), pages 344-356, September.
    27. repec:spr:compst:v:60:y:2004:i:1:p:155-162 is not listed on IDEAS
    28. Skouri, K. & Papachristos, S., 2003. "Optimal stopping and restarting production times for an EOQ model with deteriorating items and time-dependent partial backlogging," International Journal of Production Economics, Elsevier, vol. 81(1), pages 525-531, January.
    29. Pal, A.K. & Bhunia, A.K. & Mukherjee, R.N., 2006. "Optimal lot size model for deteriorating items with demand rate dependent on displayed stock level (DSL) and partial backordering," European Journal of Operational Research, Elsevier, vol. 175(2), pages 977-991, December.
    30. 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.
    31. 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.
    32. Hsieh, Tsu-Pang & Dye, Chung-Yuan & Ouyang, Liang-Yuh, 2008. "Determining optimal lot size for a two-warehouse system with deterioration and shortages using net present value," European Journal of Operational Research, Elsevier, vol. 191(1), pages 182-192, November.
    33. Wu, Kun-Shan & Ouyang, Liang-Yuh & Yang, Chih-Te, 2006. "An optimal replenishment policy for non-instantaneous deteriorating items with stock-dependent demand and partial backlogging," International Journal of Production Economics, Elsevier, vol. 101(2), pages 369-384, June.
    34. Hou, Kuo-Lung, 2006. "An inventory model for deteriorating items with stock-dependent consumption rate and shortages under inflation and time discounting," European Journal of Operational Research, Elsevier, vol. 168(2), pages 463-474, January.
    35. Moon, Ilkyeong & Giri, Bibhas Chandra & Ko, Byungsung, 2005. "Economic order quantity models for ameliorating/deteriorating items under inflation and time discounting," European Journal of Operational Research, Elsevier, vol. 162(3), pages 773-785, May.
    36. Dye, Chung-Yuan & Hsieh, Tsu-Pang & Ouyang, Liang-Yuh, 2007. "Determining optimal selling price and lot size with a varying rate of deterioration and exponential partial backlogging," European Journal of Operational Research, Elsevier, vol. 181(2), pages 668-678, September.
    37. Al-Anzi, Fawaz S. & Allahverdi, Ali & Kovalyov, Mikhail Y., 2007. "Batching deteriorating items with applications in computer communication and reverse logistics," European Journal of Operational Research, Elsevier, vol. 182(3), pages 1002-1011, November.
    38. Ravichandran, N., 1995. "Stochastic analysis of a continuous review perishable inventory system with positive lead time and Poisson demand," European Journal of Operational Research, Elsevier, vol. 84(2), pages 444-457, July.
    39. Rong, Aiying & Akkerman, Renzo & Grunow, Martin, 2011. "An optimization approach for managing fresh food quality throughout the supply chain," International Journal of Production Economics, Elsevier, vol. 131(1), pages 421-429, May.
    40. Balkhi, Zaid T. & Benkherouf, Lakdere, 1996. "A production lot size inventory model for deteriorating items and arbitrary production and demand rates," European Journal of Operational Research, Elsevier, vol. 92(2), pages 302-309, July.
    41. Chang, Chun-Tao & Goyal, Suresh Kumar & Teng, Jinn-Tsair, 2006. "On "An EOQ model for perishable items under stock-dependent selling rate and time-dependent partial backlogging" by Dye and Ouyang," European Journal of Operational Research, Elsevier, vol. 174(2), pages 923-929, October.
    42. Beliën, Jeroen & Forcé, Hein, 2012. "Supply chain management of blood products: A literature review," European Journal of Operational Research, Elsevier, vol. 217(1), pages 1-16.
    43. Brahimi, Nadjib & Dauzere-Peres, Stephane & Najid, Najib M. & Nordli, Atle, 2006. "Single item lot sizing problems," European Journal of Operational Research, Elsevier, vol. 168(1), pages 1-16, January.
    44. Dye, Chung-Yuan & Ouyang, Liang-Yuh & Hsieh, Tsu-Pang, 2007. "Deterministic inventory model for deteriorating items with capacity constraint and time-proportional backlogging rate," European Journal of Operational Research, Elsevier, vol. 178(3), pages 789-807, May.
    45. Alamri, Adel. A. & Balkhi, Zaid T., 2007. "The effects of learning and forgetting on the optimal production lot size for deteriorating items with time varying demand and deterioration rates," International Journal of Production Economics, Elsevier, vol. 107(1), pages 125-138, May.
    46. Lo, Sh-Tyan & Wee, Hui-Ming & Huang, Wen-Chang, 2007. "An integrated production-inventory model with imperfect production processes and Weibull distribution deterioration under inflation," International Journal of Production Economics, Elsevier, vol. 106(1), pages 248-260, March.
    47. Steven Nahmias & David Perry & Wolfgang Stadje, 2004. "Perishable inventory systems with variable input and demand rates," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 60(1), pages 155-162, September.
    48. S. Kalpakam & S. Shanthi, 2006. "A continuous review perishable system with renewal demands," Annals of Operations Research, Springer, vol. 143(1), pages 211-225, March.
    49. Dye, Chung-Yuan, 2007. "Joint pricing and ordering policy for a deteriorating inventory with partial backlogging," Omega, Elsevier, vol. 35(2), pages 184-189, April.
    50. Ahumada, Omar & Villalobos, J. Rene, 2009. "Application of planning models in the agri-food supply chain: A review," European Journal of Operational Research, Elsevier, vol. 196(1), pages 1-20, July.
    51. Karimi, B. & Fatemi Ghomi, S. M. T. & Wilson, J. M., 2003. "The capacitated lot sizing problem: a review of models and algorithms," Omega, Elsevier, vol. 31(5), pages 365-378, October.
    52. Gregory P. Prastacos, 1984. "Blood Inventory Management: An Overview of Theory and Practice," Management Science, INFORMS, vol. 30(7), pages 777-800, July.
    53. Stadtler, Hartmut, 1996. "Mixed integer programming model formulations for dynamic multi-item multi-level capacitated lotsizing," European Journal of Operational Research, Elsevier, vol. 94(3), pages 561-581, November.
    54. Wedad Elmaghraby & P{i}nar Keskinocak, 2003. "Dynamic Pricing in the Presence of Inventory Considerations: Research Overview, Current Practices, and Future Directions," Management Science, INFORMS, vol. 49(10), pages 1287-1309, October.
    55. Inderfurth, Karl & Kovalyov, Mikhail Y. & Ng, C.T. & Werner, Frank, 2007. "Cost minimizing scheduling of work and rework processes on a single facility under deterioration of reworkables," International Journal of Production Economics, Elsevier, vol. 105(2), pages 345-356, February.
    56. M. Barry Dumas & Manus Rabinowitz, 1977. "Policies for Reducing Blood Wastage in Hospital Blood Banks," Management Science, INFORMS, vol. 23(10), pages 1124-1132, June.
    57. M. Florian & J. K. Lenstra & A. H. G. Rinnooy Kan, 1980. "Deterministic Production Planning: Algorithms and Complexity," Management Science, INFORMS, vol. 26(7), pages 669-679, July.
    58. Lin, Chinho & Lin, Yihsu, 2007. "A cooperative inventory policy with deteriorating items for a two-echelon model," European Journal of Operational Research, Elsevier, vol. 178(1), pages 92-111, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Janssen, Larissa & Claus, Thorsten & Sauer, Jürgen, 2016. "Literature review of deteriorating inventory models by key topics from 2012 to 2015," International Journal of Production Economics, Elsevier, vol. 182(C), pages 86-112.
    2. Marcio Costa Santos & Agostinho Agra & Michael Poss, 2020. "Robust inventory theory with perishable products," Annals of Operations Research, Springer, vol. 289(2), pages 473-494, June.
    3. Hanukov, Gabi & Avinadav, Tal & Chernonog, Tatyana & Yechiali, Uri, 2019. "Performance improvement of a service system via stocking perishable preliminary services," European Journal of Operational Research, Elsevier, vol. 274(3), pages 1000-1011.
    4. Chang, Chun-Tao & Ouyang, Liang-Yuh & Teng, Jinn-Tsair & Lai, Kuei-Kuei & Cárdenas-Barrón, Leopoldo Eduardo, 2019. "Manufacturer's pricing and lot-sizing decisions for perishable goods under various payment terms by a discounted cash flow analysis," International Journal of Production Economics, Elsevier, vol. 218(C), pages 83-95.
    5. Alamri, Adel A. & Syntetos, Aris A., 2018. "Beyond LIFO and FIFO: Exploring an Allocation-In-Fraction-Out (AIFO) policy in a two-warehouse inventory model," International Journal of Production Economics, Elsevier, vol. 206(C), pages 33-45.
    6. Brahimi, Nadjib & Absi, Nabil & Dauzère-Pérès, Stéphane & Nordli, Atle, 2017. "Single-item dynamic lot-sizing problems: An updated survey," European Journal of Operational Research, Elsevier, vol. 263(3), pages 838-863.
    7. Dmitry Ivanov & Maxim Rozhkov, 2020. "Coordination of production and ordering policies under capacity disruption and product write-off risk: an analytical study with real-data based simulations of a fast moving consumer goods company," Annals of Operations Research, Springer, vol. 291(1), pages 387-407, August.
    8. Horst Tempelmeier & Karina Copil, 2016. "Capacitated lot sizing with parallel machines, sequence-dependent setups, and a common setup operator," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 38(4), pages 819-847, October.
    9. Andrea Raiconi & Julia Pahl & Monica Gentili & Stefan Voß & Raffaele Cerulli, 2017. "Tactical Production and Lot Size Planning with Lifetime Constraints: A Comparison of Model Formulations," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(05), pages 1-24, October.
    10. Sazvar, Z. & Mirzapour Al-e-hashem, S.M.J. & Govindan, K. & Bahli, B., 2016. "A novel mathematical model for a multi-period, multi-product optimal ordering problem considering expiry dates in a FEFO system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 232-261.
    11. Wu, Jiang & Chang, Chun-Tao & Teng, Jinn-Tsair & Lai, Kuei-Kuei, 2017. "Optimal order quantity and selling price over a product life cycle with deterioration rate linked to expiration date," International Journal of Production Economics, Elsevier, vol. 193(C), pages 343-351.
    12. Lee, Deishin & Tongarlak, Mustafa Hayri, 2017. "Converting retail food waste into by-product," European Journal of Operational Research, Elsevier, vol. 257(3), pages 944-956.
    13. Lin, Feng & Jia, Tao & Wu, Feng & Yang, Zhen, 2019. "Impacts of two-stage deterioration on an integrated inventory model under trade credit and variable capacity utilization," European Journal of Operational Research, Elsevier, vol. 272(1), pages 219-234.
    14. Ehsan Ahmadi & Dale T. Masel & Seth Hostetler & Reza Maihami & Iman Ghalehkhondabi, 2020. "A centralized stochastic inventory control model for perishable products considering age-dependent purchase price and lead time," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(1), pages 231-269, April.
    15. Behzadi, Golnar & O’Sullivan, Michael Justin & Olsen, Tava Lennon, 2020. "On metrics for supply chain resilience," European Journal of Operational Research, Elsevier, vol. 287(1), pages 145-158.
    16. Li, Ruihai & Chan, Ya-Lan & Chang, Chun-Tao & Cárdenas-Barrón, Leopoldo Eduardo, 2017. "Pricing and lot-sizing policies for perishable products with advance-cash-credit payments by a discounted cash-flow analysis," International Journal of Production Economics, Elsevier, vol. 193(C), pages 578-589.
    17. Andreas Goerler & Stefan Voß, 2016. "Dynamic lot-sizing with rework of defective items and minimum lot-size constraints," International Journal of Production Research, Taylor & Francis Journals, vol. 54(8), pages 2284-2297, April.
    18. de Keizer, Marlies & Akkerman, Renzo & Grunow, Martin & Bloemhof, Jacqueline M. & Haijema, Rene & van der Vorst, Jack G.A.J., 2017. "Logistics network design for perishable products with heterogeneous quality decay," European Journal of Operational Research, Elsevier, vol. 262(2), pages 535-549.
    19. Jonkman, Jochem & Barbosa-Póvoa, Ana P. & Bloemhof, Jacqueline M., 2019. "Integrating harvesting decisions in the design of agro-food supply chains," European Journal of Operational Research, Elsevier, vol. 276(1), pages 247-258.
    20. 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.
    21. Reza Maihami & Behrooz Karimi & Seyyed Mohammad Taghi Fatemi Ghomi, 2017. "Effect of two-echelon trade credit on pricing-inventory policy of non-instantaneous deteriorating products with probabilistic demand and deterioration functions," Annals of Operations Research, Springer, vol. 257(1), pages 237-273, October.
    22. Sahling, Florian & Hahn, Gerd J., 2019. "Dynamic lot sizing in biopharmaceutical manufacturing," International Journal of Production Economics, Elsevier, vol. 207(C), pages 96-106.
    23. Ruihai Li & Jinn-Tsair Teng & Yingfei Zheng, 2019. "Optimal credit term, order quantity and selling price for perishable products when demand depends on selling price, expiration date, and credit period," Annals of Operations Research, Springer, vol. 280(1), pages 377-405, September.
    24. Behzadi, Golnar & O'Sullivan, Michael Justin & Olsen, Tava Lennon & Scrimgeour, Frank & Zhang, Abraham, 2017. "Robust and resilient strategies for managing supply disruptions in an agribusiness supply chain," International Journal of Production Economics, Elsevier, vol. 191(C), pages 207-220.
    25. Xiangyu Hou & Dacheng Liu, 2017. "Building fresh product supply chain cooperation in a typical wholesale market," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(5), pages 566-576, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Pentico, David W. & Drake, Matthew J., 2011. "A survey of deterministic models for the EOQ and EPQ with partial backordering," European Journal of Operational Research, Elsevier, vol. 214(2), pages 179-198, October.
    3. Manish Shukla & Sanjay Jharkharia, 2014. "An inventory model for continuously deteriorating agri-fresh produce: an artificial immune system-based solution approach," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 9(1/2), pages 110-135.
    4. Joaquín Sicilia & Luis San-José & Juan García-Laguna, 2012. "An inventory model where backordered demand ratio is exponentially decreasing with the waiting time," Annals of Operations Research, Springer, vol. 199(1), pages 137-155, October.
    5. 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.
    6. He, Yong & Wang, Shou-Yang & Lai, K.K., 2010. "An optimal production-inventory model for deteriorating items with multiple-market demand," European Journal of Operational Research, Elsevier, vol. 203(3), pages 593-600, June.
    7. Sarkar, Biswajit & Sarkar, Sumon, 2013. "An improved inventory model with partial backlogging, time varying deterioration and stock-dependent demand," Economic Modelling, Elsevier, vol. 30(C), pages 924-932.
    8. R. Sundara rajan & R. Uthayakumar, 2017. "Comprehensive solution procedure for optimizing replenishment policies of instantaneous deteriorating items with stock-dependent demand under partial trade credit linked to order quantity," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 1343-1373, November.
    9. Ghiami, Yousef & Beullens, Patrick, 2016. "Planning for shortages? Net Present Value analysis for a deteriorating item with partial backlogging," International Journal of Production Economics, Elsevier, vol. 178(C), pages 1-11.
    10. Yan, Changyuan & Banerjee, Avijit & Yang, Liangbin, 2011. "An integrated production-distribution model for a deteriorating inventory item," International Journal of Production Economics, Elsevier, vol. 133(1), pages 228-232, September.
    11. 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.
    12. Chih-Te Yang & Liang-Yuh Ouyang & Kun-Shan Wu & Hsiu-Feng Yen, 2011. "An optimal replenishment policy for deteriorating items with stock-dependent demand and relaxed terminal conditions under limited storage space," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 19(1), pages 139-153, March.
    13. Chen, Jing & Dong, Ming & Rong, Ying & Yang, Liang, 2018. "Dynamic pricing for deteriorating products with menu cost," Omega, Elsevier, vol. 75(C), pages 13-26.
    14. Narayan Singh & Bindu Vaish & Shiv Ray Singh, 2014. "A collaborative strategy for a three echelon supply chain with ramp type demand, deterioration and inflation," Operations Research and Decisions, Wroclaw University of Technology, Institute of Organization and Management, vol. 3, pages 77-100.
    15. Alamri, Adel A. & Syntetos, Aris A., 2018. "Beyond LIFO and FIFO: Exploring an Allocation-In-Fraction-Out (AIFO) policy in a two-warehouse inventory model," International Journal of Production Economics, Elsevier, vol. 206(C), pages 33-45.
    16. Taleizadeh, Ata Allah & Noori-daryan, Mahsa & Cárdenas-Barrón, Leopoldo Eduardo, 2015. "Joint optimization of price, replenishment frequency, replenishment cycle and production rate in vendor managed inventory system with deteriorating items," International Journal of Production Economics, Elsevier, vol. 159(C), pages 285-295.
    17. Brahimi, Nadjib & Absi, Nabil & Dauzère-Pérès, Stéphane & Nordli, Atle, 2017. "Single-item dynamic lot-sizing problems: An updated survey," European Journal of Operational Research, Elsevier, vol. 263(3), pages 838-863.
    18. Sunil Tiwari & Chandra K. Jaggi & Asoke Kumar Bhunia & Ali Akbar Shaikh & Mark Goh, 2017. "Two-warehouse inventory model for non-instantaneous deteriorating items with stock-dependent demand and inflation using particle swarm optimization," Annals of Operations Research, Springer, vol. 254(1), pages 401-423, July.
    19. Pentico, David W. & Drake, Matthew J. & Toews, Carl, 2009. "The deterministic EPQ with partial backordering: A new approach," Omega, Elsevier, vol. 37(3), pages 624-636, June.
    20. Nita H. Shah & Chetansinh R. Vaghela, 2017. "Economic order quantity for deteriorating items under inflation with time and advertisement dependent demand," OPSEARCH, Springer;Operational Research Society of India, vol. 54(1), pages 168-180, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:238:y:2014:i:3:p:654-674. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Nithya Sathishkumar). General contact details of provider: http://www.elsevier.com/locate/eor .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.