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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
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    Citations

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    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. 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.
    4. 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.

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