Multiagent Systems in Logistics Environment

Abstract

A procurement problem for a manufacturing company is to decide the suppliers and manufacturing locations from a list of prospective candidates for the manufacture of products that will minimize the cost added to the price of the products. This is a typical logistics problem. Under some assumptions, this problem can be solved through negotiation in a forum of candidate transportation companies. From this perspective, we can model each transportation company as comprising of a master agent and several slave agents. A master agent negotiates for tasks with the master agents of other companies and assigns tasks to its own vehicles. A slave agent represents a vehicle which generates robust vehicle routes, and cost estimation for an assigned task by collaborating with other vehicles. We develop a theoretical information infrastructure for solving this problem using multi agents, game theory and stochastic programming. We apply this formalism to a logistics problem posed by USALIA and build an implementation platform.

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Document Details

Document Type
Technical Report
Publication Date
Feb 23, 2000
Accession Number
ADA379150

Entities

People

  • R. T. Kumara

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Advanced Electronics
  • Autonomy
  • Space

DTIC Thesaurus Topics

  • Commerce
  • Computer Programming
  • Computers
  • Electronic Commerce
  • Game Theory
  • Graphical User Interface
  • Industrial Engineering
  • Information Systems
  • Infrastructure
  • Logistics
  • Multiagent Systems
  • Negotiations
  • Neural Networks
  • Ontologies
  • Supply Chain
  • Transportation
  • User Interface

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Calculus or Mathematical Analysis
  • Government Contracting/Procurement.