IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v39y1993i5p633-649.html
   My bibliography  Save this article

Two-Stage Perishable Inventory Models

Author

Listed:
  • Chon-Huat Goh

    (College of Business and Economics, University of Kentucky, Lexington, Kentucky 40506-0034)

  • Betsy S. Greenberg

    (College of Business Administration, CBA 5.202, University of Texas at Austin, Austin, Texas 78712-1175)

  • Hirofumi Matsuo

    (College of Business Administration, CBA 4.202, University of Texas at Austin, Austin, Texas 78712)

Abstract

In this paper we consider perishable inventory systems with two types of demand. Demand may be for either fresh items or for somewhat older items. We model the system with two inventory stages. The first stage holds fresh items and the second stage holds the older items. We approximate the performance of the two-stage inventory system and compare two managerial policies.

Suggested Citation

  • Chon-Huat Goh & Betsy S. Greenberg & Hirofumi Matsuo, 1993. "Two-Stage Perishable Inventory Models," Management Science, INFORMS, vol. 39(5), pages 633-649, May.
    • Handle: RePEc:inm:ormnsc:v:39:y:1993:i:5:p:633-649
    DOI: 10.1287/mnsc.39.5.633
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.39.5.633
    Download Restriction: no
    File URL: https://libkey.io/10.1287/mnsc.39.5.633?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

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


    Cited by:

    1. Borga Deniz & Itir Karaesmen & Alan Scheller-Wolf, 2010. "Managing Perishables with Substitution: Inventory Issuance and Replenishment Heuristics," Manufacturing & Service Operations Management, INFORMS, vol. 12(2), pages 319-329, July.
    2. Deming Zhou & Lawrence C. Leung & William P. Pierskalla, 2011. "Inventory Management of Platelets in Hospitals: Optimal Inventory Policy for Perishable Products with Regular and Optional Expedited Replenishments," Manufacturing & Service Operations Management, INFORMS, vol. 13(4), pages 420-438, October.
    3. Xiuli Chao & Xiting Gong & Cong Shi & Huanan Zhang, 2015. "Approximation Algorithms for Perishable Inventory Systems," Operations Research, INFORMS, vol. 63(3), pages 585-601, June.
    4. Vahid Sarhangian & Hossein Abouee-Mehrizi & Opher Baron & Oded Berman, 2018. "Threshold-Based Allocation Policies for Inventory Management of Red Blood Cells," Manufacturing & Service Operations Management, INFORMS, vol. 20(2), pages 347-362, May.
    5. Shouchang Chen & Yanzhi Li & Yi Yang & Weihua Zhou, 2021. "Managing Perishable Inventory Systems with Age‐differentiated Demand," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3784-3799, October.
    6. Dehghani, Maryam & Abbasi, Babak & Oliveira, Fabricio, 2021. "Proactive transshipment in the blood supply chain: A stochastic programming approach," Omega, Elsevier, vol. 98(C).
    7. 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.
    8. Herbon, Avi, 2017. "Should retailers hold a perishable product having different ages? The case of a homogeneous market and multiplicative demand model," International Journal of Production Economics, Elsevier, vol. 193(C), pages 479-490.
    9. Civelek, Ismail & Karaesmen, Itir & Scheller-Wolf, Alan, 2015. "Blood platelet inventory management with protection levels," European Journal of Operational Research, Elsevier, vol. 243(3), pages 826-838.
    10. Z Shen & M Dessouky & F Ordonez, 2011. "Perishable inventory management system with a minimum volume constraint," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(12), pages 2063-2082, December.
    11. Sarker, Bhaba R. & Mukherjee, Subhasis & Balan, Chidambaram V., 1997. "An order-level lot size inventory model with inventory-level dependent demand and deterioration," International Journal of Production Economics, Elsevier, vol. 48(3), pages 227-236, February.
    12. Fujiwara, Okitsugu & Soewandi, Hanijanto & Sedarage, Dayani, 1997. "An optimal ordering and issuing policy for a two-stage inventory system for perishable products," European Journal of Operational Research, Elsevier, vol. 99(2), pages 412-424, June.
    13. Jamal, A. M. M. & Sarker, Bhaba R. & Wang, Shaojun, 2000. "Optimal payment time for a retailer under permitted delay of payment by the wholesaler," International Journal of Production Economics, Elsevier, vol. 66(1), pages 59-66, June.
    14. Minner, Stefan & Transchel, Sandra, 2017. "Order variability in perishable product supply chains," European Journal of Operational Research, Elsevier, vol. 260(1), pages 93-107.

    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:inm:ormnsc:v:39:y:1993:i:5:p:633-649. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.