Multi-agent based distributed inventory control model

Authored by Chang Ouk Kim, Ick-Hyun Kwon, Choonjong Kwak

Date Published: 2010-07

DOI: 10.1016/j.eswa.2009.12.073

Sponsors: No sponsors listed

Platforms: No platforms listed

Model Documentation: Other Narrative Flow charts Mathematical description

Model Code URLs: Model code not found

Abstract

We consider a multi-stage inventory control problem with nonstationary customer demand under a customer service-level constraint. We propose a multi-agent based model for distributed inventory control systems. In this model, the agent at the first stage is called a retail agent and those at the remaining stages are called supply agents. The retail agent makes an effort to satisfy a target customer service level by adjusting its order release time according to the changes of customer demand trends. On the other hand, each supply agent tries to control its order release time so that product supply from its upstream agent is synchronized with the order request from its downstream agent. A cooperative demand estimation protocol and a distributed action-reward learning technique are developed to satisfy the target customer service level under nonstationary situations. A simulation based experiment was performed to evaluate the performance of the proposed multi-agent model. (C) 2009 Elsevier Ltd. All rights reserved.

Tags

multi-agent model reinforcement learning Cooperative demand estimation Multi-stage inventory control Nonstationary customer demand