Modelling Logistics Chains for Optimal Supply and Maximum Throughput

Abstract

This report presents an analysis of a generalised logistics supply chain without back orders. Two methods are proposed: a responsive but robust delivery system based on maintaining set holdings levels; and a technique from Control Theory which pushes stock through the chain in anticipation of demand over both time and space. Furthermore, a heuristic is proposed to set the policy for holdings levels using a hybrid of statistical analysis, Simulated Annealing and Lagrangian Relaxation. Finally, a comparison between methods under uncertainty, with error in prediction and correlated demand, is conducted. Each method was found to be useful in different contexts. The impact of uncertainty and correlated consumption was quantified for a set scenario and both were found to be significant factors in the performance of the supply chain.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2005
Accession Number
ADA446249

Entities

People

  • Alex Ryan
  • Scott Wheeler
  • Tristan Turner

Organizations

  • Defence Science and Technology Group

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Human Systems
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Applied Mathematics
  • Data Science
  • Dynamic Programming
  • Factor Analysis
  • Information Science
  • Information Systems
  • Logistics
  • Logistics Management
  • Mathematical Programming
  • Network Science
  • Nonlinear Dynamics
  • Operations Research
  • Random Variables
  • Statistical Analysis
  • Supply Chain
  • United States

Readers

  • Computational Modeling and Simulation
  • Logistics and Supply Chain Management.
  • Operations Research

Technology Areas

  • Space