Inventory Management with Alternative Delivery Times

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Inventory Management with Alternative Delivery Times
  • Forlagets pris kr. 539,95
  • Leveringstid 2-4 uger
  • Forventet levering 31-05-2018
Bog, paperback (kr. 394,95)
  1. Beskrivelse

    This book develops a modeling framework to analyze the problem of inventory management with alternative delivery times. The general context considered here is that a seller replenishes its inventory in fixed intervals and, between replenishments, allocates the limited inventory to sat... Læs mere

    Udgivelsesdato:
    05-12-2016
    Leveringstid:
    2-4 uger
    Rating:
    (0)
  2. Yderligere info
    Udgivelsesdato:
    05-12-2016
    Sprog:
    Engelsk
    ISBN13:
    9783319486338
    Sidetal:
    114
    Vægt:
    197
    Højde:
    6
    Bredde:
    155
    Længde:
    235
    Mærkat:
    Bog, paperback
    Format:
    Paperback
    Udgave:
    1st ed. 2017
    • Bibliotekernes beskrivelse

      This book develops a modeling framework to analyze the problem of inventory management with alternative delivery times. The general context considered here is that a seller replenishes its inventory in fixed intervals and, between replenishments, allocates the limited inventory to satisfy customers who are both price and delivery-time sensitive. On the demand side, customers have heterogeneous delivery-time requirements and choose either spot or late delivery. This theoretical modeling captures the essence of real-world business practices such as the delivery time market segmentation strategy adopted by automobile dealerships in China and many other similar examples. The book focuses on the seller's optimal inventory replenishment and demand fulfillment policies, and our results provide managerial insights into the merits of flexible delivery-time options. Similar applications such as the group-buying mechanism are also examined. The main mathematical tool used in theoretical analysis is dynamic programming. This book is written for students, researchers, and practitioners in the areas of operations management and industrial engineering who are interested in understanding the rationale of flexible delivery times and designing successful applications.

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