Holonic manufacturing scheduling: architecture, cooperation mechanism and implementation
Computers in Industry - Special issue on manufacturing systems
A reference model for team-enabled workflow management systems
Data & Knowledge Engineering
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
Holarchy formation and optimization in holonic manufacturing systems with contract net
Automatica (Journal of IFAC)
ADACOR: A holonic architecture for agile and adaptive manufacturing control
Computers in Industry
The Petri net markup language: concepts, technology, and tools
ICATPN'03 Proceedings of the 24th international conference on Applications and theory of Petri nets
Analysis of contract net in multi-agent systems
Automatica (Journal of IFAC)
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Holonic manufacturing systems (HMS) provide a reconfigurable and flexible architecture based on the notion of holon to dynamically meet customers' requirements. Given an order with specific product demands and due date, a challenge is to design a problem solving platform to guide the holons in HMS such that the decisions made by the individual holons as a whole fulfill the order. The objective of this paper is to propose a problem solving platform that finds a set of minimal cost holons and the associated workflows to fulfill an order. To achieve these objectives, we combine multi-agent systems technology with Petri nets to design and implement HMS to fulfill the requirements of orders. We first propose architecture and a two-layer contract net protocol for planning order holons, product holons and resource holons in HMS. To determine whether it is feasible for a set product holons and resource holons to meet the order requirements, we propose Petri net models to capture the workflows and activities in product holons and resource holons, respectively. To realize the two-layer contract net protocol, we proposed a scheme for publication and discovery of holon services based on FIPA compliant multi-agent system platform. We develop a HMS system to solve the order planning problem.