Dynamic Resource Allocation to Improve Service Performance in Order Fulfillment Systems

Abstract

The project investigated the use of stochastic models to improve the service performance of distribution centers in the logistics industry. We defined a new metric, called Next Scheduled Departure, which measures the fraction of orders arriving in a 24 hour window that make it onto a target departing truck. The research investigated dynamic worker allocation policies to improve performance on this metric. The results have been recorded in several academic articles.

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Document Details

Document Type
Technical Report
Publication Date
May 17, 2011
Accession Number
ADA553764

Entities

People

  • Kevin R. Gue

Organizations

  • Auburn University

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Commerce
  • Department Of Defense
  • Engineering
  • Governments
  • Information Operations
  • Law
  • Logistics
  • Markov Processes
  • Military Research
  • Probability
  • Shipping
  • Steady State
  • Storage
  • Systems Engineering
  • Technical Information Centers
  • Transportation

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Logistics and Supply Chain Management.
  • Organizational Process Management (OPM).