Optimization of auction mechanisms

Agent-based coupling of cooperative production plants

Authors

  • Felix Gehlhoff Helmut-Schmidt-Universität Hamburg
  • Tobias Linnenberg Helmut-Schmidt-Universität Hamburg
  • Alexander Fay

DOI:

https://doi.org/10.17560/atp.v59i09.1883

Keywords:

Optimierung, agent-based software, optimization, auctions, learning algorithm

Abstract

Agent-based control is a promising approach to meet increasing demands for flexibility and robustness in complex production systems within Industry 4.0. Multi-Agent systems often use auction mechanisms to allocate tasks and resources. Each agent calculates their bids independently. This paper presents a concept to generate additional benefits for a company which hosts more than one agent in an Industry 4.0 market-place. The optimization is based on a learning algorithm which estimates probabilities for future orders from an order history. The concept was tested in a simulation and found to offer considerable benefits.

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Published

2017-11-16

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