Application of distributed constraint satisfaction problem to the agent-based planning in manufacturing systems

TL;DR

This paper explores using distributed constraint satisfaction problems, implemented via modified Petri networks, to enhance agent-based planning in manufacturing systems for increased flexibility and responsiveness.

Contribution

It introduces a novel approach combining distributed constraint satisfaction with Petri networks to improve agent-based manufacturing planning.

Findings

Demonstrates the feasibility of the approach

Shows improved responsiveness in manufacturing systems

Provides a detailed implementation framework

Abstract

Nowadays, a globalization of national markets requires developing flexible and demand-driven production systems. Agent-based technology, being distributed, flexible and autonomous is expected to provide a short-time reaction to disturbances and sudden changes of environment and allows satisfying the mentioned requirements. The distributed constraint satisfaction approach underlying the suggested method is described by a modified Petri network providing both the conceptual notions and main details of implementation.