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Optimal ordering policies for continuous review perishable inventory models.

H J Weiss

    Operations Research
    |February 11, 1980
    PubMed
    Summary
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    This study integrates perishable inventory management into continuous review systems. It identifies optimal inventory policies to minimize long-run average costs for perishable goods, considering both backlogging and lost-sales scenarios.

    Area of Science:

    • Operations Research
    • Inventory Management

    Background:

    • Traditional inventory models often overlook item perishability.
    • Continuous review systems offer dynamic inventory control.

    Purpose of the Study:

    • To extend perishable inventory models to continuous review systems.
    • To determine optimal inventory policies for perishable goods under continuous review.

    Main Methods:

    • Incorporation of traditional perishable inventory costs (ordering, holding, shortage, disposal, revenue) into a continuous review framework.
    • Analysis of optimal policies for both backlogging and lost-sales scenarios.

    Main Results:

    • Identification of the optimal policy type for minimizing long-run average expected costs in continuous review perishable inventory systems.

    Related Experiment Videos

  • Presentation and analysis of the cost function specifically for the lost-sales model.

    • Conclusions:

    • Continuous review systems can effectively manage perishable inventory.
    • The study provides a framework for optimizing inventory costs with perishable items.