A Simulation of the Defense Logistics Agency's Integrated Materials Complex.

Abstract

This thesis studies the effects the number of AGVs (Automated Guided Vehicles), and number of pickup and delivery stands, and the storage and retrieval machines have on the performance of DLA's Integrated Material Complex (IMC). Basic objectives included: 1) Design a model that would simulate the storage and retrieval machines to evaluate their performance, and determine if the number of pickup/delivery stands in the IMC is sufficient, 2) Evaluate the results of the simulation with regards to the performance goal of the IMC. A computer model, using the SLAM simulation language, simulated 4 different vehicle fleet sizes and 2 automated storage and retrieval machine picking modes. The performance measure of the IMC is to take 15,500 items from the highrise rack and bin and storage area, transport them by AGV to the consolidation area, and process for shipping, all in an 8 hour shift. Results showed that the performance goal was always met regardless of the AGV fleet size (20 - 35 vehicles) or pick method used. Data analysis confirmed that the AGV fleet size and pick methods had no apparent effect on achieving the performance goal. However, if the performance goal was increased, a smaller fleet operating near full efficiency may not be able to move all the items from storage for the consolidation area.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1987
Accession Number
ADA189484

Entities

People

  • Richard B. Berry

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Automated Guided Vehicles
  • Computer Programming
  • Computer Programs
  • Computer Simulations
  • Computers
  • Control Systems
  • Data Analysis
  • Language
  • Logistics
  • Materials
  • Materials Handling
  • Materials Handling Equipment
  • Operations Research
  • Programming Languages
  • Simulation Languages

Readers

  • Government Contracting/Procurement.
  • Logistics and Supply Chain Management.
  • Robotics and Automation.