Title

Utility Pricing Auction for Multi-Period Resource Allocation in Multi-Machine Flow Shop Problems

Publication Type

Conference Proceeding Article

Publication Date

8-2008

Abstract

In this paper, we consider a multi-machine multi-period resource allocation problem among multiple agents, each of which is responsible to solve a flowshop scheduling problem. We present an iterated combinatorial auction approach in which bid generation is performed within each agent, and the concept of utility pricing is then applied in the process of price adjustment. We compare with the conventional price adjustment scheme proposed in Fisher (1985), and show better convergence properties. Experimentally, we compare our approach against an integer programming model as well as conventional price adjustment schemes, and achieve drastic run time improvement.

Discipline

Artificial Intelligence and Robotics | Business | Operations Research, Systems Engineering and Industrial Engineering

Research Areas

Intelligent Systems and Decision Analytics

Publication

International Conf. on Electronic Commerce (ICEC)

ISBN

9781605580753

Identifier

10.1145/1409540.1409547

Publisher

ACM

Additional URL

http://dx.doi.org/10.1145/1409540.1409547