• DocumentCode
    1794692
  • Title

    Managing inventories in multi-echelon on-line retail fulfillment system with different response lead time demands

  • Author

    Juan Li ; Muckstadt, John A.

  • Author_Institution
    Palo Alto Res. Center, Webster, NY, USA
  • fYear
    2014
  • fDate
    9-12 Dec. 2014
  • Firstpage
    75
  • Lastpage
    82
  • Abstract
    When designing and operating an order fulfillment system for an on-line retailer, many factors must be taken into account. In this paper, we study a multi-echlon on-line fulfillment system with different response lead time demands. We present a delayed allocation system, which is called the primary warehouse system (PWS). In this system, inventories to satisfy different response lead time demands are managed differently. Since there are many millions of items managed in the system, determining stock levels quickly is a necessity. The focus of this paper is on planning inventory levels. Specifically, our goals are to describe a model for setting stock levels for each item, to present a computationally tractable method for determining their values, and to provide numerical results that illustrate the applications of the model to the on-line retailer´s environment.
  • Keywords
    inventory management; planning; retailing; warehousing; PWS; computationally tractable method; delayed allocation system; inventory level planning; inventory management; multiechelon online retail fulfillment system; online retailer environment; primary warehouse system; response lead time demands; stock levels; Computational modeling; Marine vehicles; Planning; Procurement; Resource management; Time factors; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Production and Logistics Systems (CIPLS), 2014 IEEE Symposium on
  • Conference_Location
    Orlando, FL
  • Type

    conf

  • DOI
    10.1109/CIPLS.2014.7007164
  • Filename
    7007164