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. 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.
    4. 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.
    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. Jaggi, Chandra K. & Aggarwal, K.K. & Goel, S.K., 2006. "Optimal order policy for deteriorating items with inflation induced demand," International Journal of Production Economics, Elsevier, vol. 103(2), pages 707-714, October.
    8. 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.
    9. Magfura Pervin & Sankar Kumar Roy & Gerhard-Wilhelm Weber, 2018. "Analysis of inventory control model with shortage under time-dependent demand and time-varying holding cost including stochastic deterioration," Annals of Operations Research, Springer, vol. 260(1), pages 437-460, January.
    10. 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.
    11. 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.
    12. 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.
    13. Ramasesh, Ranga V., 2010. "Lot-sizing decisions under limited-time price incentives: A review," Omega, Elsevier, vol. 38(3-4), pages 118-135, June.
    14. Sana, Shib Sankar & Chaudhuri, K.S., 2008. "A deterministic EOQ model with delays in payments and price-discount offers," European Journal of Operational Research, Elsevier, vol. 184(2), pages 509-533, January.
    15. Sarkar, Mitali & Sarkar, Biswajit, 2013. "An economic manufacturing quantity model with probabilistic deterioration in a production system," Economic Modelling, Elsevier, vol. 31(C), pages 245-252.
    16. P-S You, 2005. "Inventory policy for products with price and time-dependent demands," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(7), pages 870-873, July.
    17. 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.
    18. Balkhi, Zaid T., 2001. "On a finite horizon production lot size inventory model for deteriorating items: An optimal solution," European Journal of Operational Research, Elsevier, vol. 132(1), pages 210-223, July.
    19. Sana, Shib Sankar, 2010. "A production-inventory model in an imperfect production process," European Journal of Operational Research, Elsevier, vol. 200(2), pages 451-464, January.
    20. repec:mth:ijafr8:v:9:y:2019:i:1:p:462-468 is not listed on IDEAS
    21. Klein Haneveld, Willem K. & Teunter, Ruud H., 1998. "Effects of discounting and demand rate variability on the EOQ," International Journal of Production Economics, Elsevier, vol. 54(2), pages 173-192, January.

    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.