Arrow Research search
Back to AAMAS

AAMAS 2012

Using the Max-Sum Algorithm for Supply Chain Formation in Dynamic Multi-Unit Environments

Conference Paper Extended Abstracts Autonomous Agents and Multiagent Systems

Abstract

The max-sum loopy belief propagation (LBP) algorithm was shown in [4] to produce strong results in a simple decentralised supply chain formation (SCF) scenario where goods are traded in single units. In this paper, we demonstrate the performance of LBP in a multi-unit SCF scenario with additional constraints. We also provide experimental analysis of LBP’s performance in dynamic scenarios where the properties and composition of participants are altered while the algorithm is running. Our results suggest that LBP continues to produce strong solutions in multi-unit scenarios, and that performance remains solid in a dynamic setting.

Authors

Keywords

  • Supply Chain Formation
  • Loopy Belief Propagation

Context

Venue
International Conference on Autonomous Agents and Multiagent Systems
Archive span
2002-2025
Indexed papers
7403
Paper id
217459495667217827