IDEAS home Printed from https://ideas.repec.org/h/spr/spochp/978-0-387-88617-6_2.html
   My bibliography  Save this book chapter

Multi-Product Inventory Logistics Modeling in the Process Industries

In: Optimization and Logistics Challenges in the Enterprise

Author

Listed:
  • Danielle Zyngier

    (Honeywell Process Solutions)

  • Jeffrey D. Kelly

    (Honeywell Process Solutions)

Abstract

Summary In this chapter the mathematical modeling of several types of inventories are detailed. The inventory types are classified as batch processes, pools, pipe lines, pile lines and parcels. The key construct for all inventory models is the “fill-hold/haul-draw” fractal found in all discontinuous inventory or holdup modeling. The equipment, vessel or unit must first be “filled” unless enough product is already held in the unit. Product can then be “held” or “hauled” for a definite (fixed) or indefinite (variable) amount of time and then “drawn” out of the unit when required. Mixed-integer linear programming (MILP) modeling formulations are presented for five different types of logistics inventory models which are computationally efficient and can be readily applied to industrial decision-making problems.

Suggested Citation

  • Danielle Zyngier & Jeffrey D. Kelly, 2009. "Multi-Product Inventory Logistics Modeling in the Process Industries," Springer Optimization and Its Applications, in: Wanpracha Chaovalitwongse & Kevin C. Furman & Panos M. Pardalos (ed.), Optimization and Logistics Challenges in the Enterprise, pages 61-95, Springer.
    • Handle: RePEc:spr:spochp:978-0-387-88617-6_2
    DOI: 10.1007/978-0-387-88617-6_2
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Velez, Sara & Dong, Yachao & Maravelias, Christos T., 2017. "Changeover formulations for discrete-time mixed-integer programming scheduling models," European Journal of Operational Research, Elsevier, vol. 260(3), pages 949-963.
    2. Zhang, Haoran & Liang, Yongtu & Liao, Qi & Wu, Mengyu & Yan, Xiaohan, 2017. "A hybrid computational approach for detailed scheduling of products in a pipeline with multiple pump stations," Energy, Elsevier, vol. 119(C), pages 612-628.
    3. Mehrnoosh Taherkhani, 2020. "An MILP approach for scheduling of tree-like pipelines with dual purpose terminals," Operational Research, Springer, vol. 20(4), pages 2133-2161, December.
    4. M. Taherkhani & M. Seifbarghy & R. Tavakkoli-Moghaddam & P. Fattahi, 2020. "Mixed-integer linear programming model for tree-like pipeline scheduling problem with intermediate due dates on demands," Operational Research, Springer, vol. 20(1), pages 399-425, 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:spr:spochp:978-0-387-88617-6_2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.