IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v27y1979i5p935-943.html
   My bibliography  Save this article

A Multi-Type Production System for Perishable Inventories

Author

Listed:
  • Bryan L. Deuermeyer

    (Texas A & M University, College Station, Texas)

Abstract

This paper develops a one-period model for investigating the properties of the optimal production policy for a system composed of two production processes called types A and B. These in turn produce two perishable stock items called products 1 and 2, having independent random demands and different lifetimes. Type A produces both products in amounts governed by a fixed set of production coefficients. Type B can be used only to manufacture product 2. The optimal starting inventory level is characterized for the one-period problem using the criterion of minimized expected total cost. The optimal production levels are characterized in terms of the starting inventory levels. Results show that the decision space is partitioned into four distinct regions whose boundaries are defined by a point and four hypersurfaces.

Suggested Citation

  • Bryan L. Deuermeyer, 1979. "A Multi-Type Production System for Perishable Inventories," Operations Research, INFORMS, vol. 27(5), pages 935-943, October.
  • Handle: RePEc:inm:oropre:v:27:y:1979:i:5:p:935-943
    DOI: 10.1287/opre.27.5.935
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/opre.27.5.935
    Download Restriction: no

    File URL: https://libkey.io/10.1287/opre.27.5.935?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. Andres F. Osorio & Sally C. Brailsford & Honora K. Smith & Sonia P. Forero-Matiz & Bernardo A. Camacho-Rodríguez, 2017. "Simulation-optimization model for production planning in the blood supply chain," Health Care Management Science, Springer, vol. 20(4), pages 548-564, December.
    2. Xiuli Chao & Xiting Gong & Cong Shi & Chaolin Yang & Huanan Zhang & Sean X. Zhou, 2018. "Approximation Algorithms for Capacitated Perishable Inventory Systems with Positive Lead Times," Management Science, INFORMS, vol. 64(11), pages 5038-5061, November.
    3. Ding, Jingying & Peng, Zhenkang, 2024. "Heuristics for perishable inventory systems under mixture issuance policies," Omega, Elsevier, vol. 126(C).
    4. 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.
    5. Vidal-Carreras, Pilar I. & Garcia-Sabater, Jose P. & Coronado-Hernandez, Jairo R., 2012. "Economic lot scheduling with deliberated and controlled coproduction," European Journal of Operational Research, Elsevier, vol. 219(2), pages 396-404.
    6. Lowalekar, Harshal & Ravi, R. Raghavendra, 2017. "Revolutionizing blood bank inventory management using the TOC thinking process: An Indian case study," International Journal of Production Economics, Elsevier, vol. 186(C), pages 89-122.

    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:inm:oropre:v:27:y:1979:i:5:p:935-943. 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.