IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v51y1997i3p215-221.html
   My bibliography  Save this article

An algorithm to determine the EOQ for deteriorating items with shortage and a linear trend in demand

Author

Listed:
  • Chung, Kun-Jen
  • Tsai, Sui-Fu

Abstract

No abstract is available for this item.

Suggested Citation

  • Chung, Kun-Jen & Tsai, Sui-Fu, 1997. "An algorithm to determine the EOQ for deteriorating items with shortage and a linear trend in demand," International Journal of Production Economics, Elsevier, vol. 51(3), pages 215-221, September.
    • Handle: RePEc:eee:proeco:v:51:y:1997:i:3:p:215-221
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925-5273(97)00082-0
    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. Ram Rachamadugu, 1988. "Error bounds for EOQ," Naval Research Logistics (NRL), John Wiley & Sons, vol. 35(5), pages 419-425, October.
    2. Kim, Dae H., 1995. "A heuristic for replenishment of deteriorating items with a linear trend in demand," International Journal of Production Economics, Elsevier, vol. 39(3), pages 265-270, May.
    3. Hariga, Moncer A. & Benkherouf, Lakdere, 1994. "Optimal and heuristic inventory replenishment models for deteriorating items with exponential time-varying demand," European Journal of Operational Research, Elsevier, vol. 79(1), pages 123-137, November.
    4. Benkherouf, Lakdere, 1995. "On an inventory model with deteriorating items and decreasing time-varying demand and shortages," European Journal of Operational Research, Elsevier, vol. 86(2), pages 293-299, October.
    Full references (including those not matched with items on IDEAS)

    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. Goyal, S. K. & Giri, B. C., 2001. "Recent trends in modeling of deteriorating inventory," European Journal of Operational Research, Elsevier, vol. 134(1), pages 1-16, October.
    2. Cenk Çalışkan, 2022. "A Comparison of Simple Closed-Form Solutions for the EOQ Problem for Exponentially Deteriorating Items," Sustainability, MDPI, vol. 14(14), pages 1-23, July.
    3. Mehmood Khan & Matloub Hussain & Leopoldo Eduardo Cárdenas-Barrón, 2017. "Learning and screening errors in an EPQ inventory model for supply chains with stochastic lead time demands," International Journal of Production Research, Taylor & Francis Journals, vol. 55(16), pages 4816-4832, August.
    4. Lakdere Benkherouf & Zaid Balkhi, 1997. "On an inventory model for deteriorating items and time-varying demand," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 45(2), pages 221-233, June.
    5. Chen, Jen-Ming, 1998. "An inventory model for deteriorating items with time-proportional demand and shortages under inflation and time discounting," International Journal of Production Economics, Elsevier, vol. 55(1), pages 21-30, June.
    6. Noordhoek, Marije & Dullaert, Wout & Lai, David S.W. & de Leeuw, Sander, 2018. "A simulation–optimization approach for a service-constrained multi-echelon distribution network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 292-311.
    7. 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.
    8. Vandana & Shiv Raj Singh & Mitali Sarkar & Biswajit Sarkar, 2023. "Effect of Learning and Forgetting on Inventory Model under Carbon Emission and Agile Manufacturing," Mathematics, MDPI, vol. 11(2), pages 1-20, January.
    9. B C Giri & T Dohi, 2005. "Exact formulation of stochastic EMQ model for an unreliable production system," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(5), pages 563-575, May.
    10. Rita Vachani, 1992. "Performance of heuristics for the uncapacitated lot‐size problem," Naval Research Logistics (NRL), John Wiley & Sons, vol. 39(6), pages 801-813, October.
    11. Ramasesh, Ranga V., 2010. "Lot-sizing decisions under limited-time price incentives: A review," Omega, Elsevier, vol. 38(3-4), pages 118-135, June.
    12. Onur Kaya & Aylin Lelizar Polat, 2017. "Coordinated pricing and inventory decisions for perishable products," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(2), pages 589-606, March.
    13. Li, Linda & Miller, David & Schmidt, Charles P., 2016. "Optimizing inventory׳s contribution to profitability in a regulated utility: The Averch–Johnson effect," International Journal of Production Economics, Elsevier, vol. 175(C), pages 132-141.
    14. Ramasesh, Ranga V. & Rachamadugu, Ram, 2012. "Evaluating lot-sizing strategies under limited-time price incentives: An efficient lower bound," International Journal of Production Economics, Elsevier, vol. 138(1), pages 177-182.
    15. Avinadav, Tal & Herbon, Avi & Spiegel, Uriel, 2013. "Optimal inventory policy for a perishable item with demand function sensitive to price and time," International Journal of Production Economics, Elsevier, vol. 144(2), pages 497-506.
    16. Ram Rachamadugu & Ranga Ramasesh, 1994. "Suboptimality of equal lot sizes for finite‐horizon problems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 41(7), pages 1019-1027, December.
    17. Beatrice Marchi & Lucio E. Zavanella & Simone Zanoni, 2023. "Supply chain finance for ameliorating and deteriorating products: a systematic literature review," Journal of Business Economics, Springer, vol. 93(3), pages 359-388, April.
    18. 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.
    19. Onur Kaya & Sajjad Rahimi Ghahroodi, 2018. "Inventory control and pricing for perishable products under age and price dependent stochastic demand," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 88(1), pages 1-35, August.
    20. Giri, B. C. & Dohi, T., 2004. "Optimal lot sizing for an unreliable production system based on net present value approach," International Journal of Production Economics, Elsevier, vol. 92(2), pages 157-167, November.

    More about this item

    Statistics

    Access and download statistics

    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:proeco:v:51:y:1997:i:3:p:215-221. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.