Holonic manufacturing scheduling: architecture, cooperation mechanism and implementation
Computers in Industry - Special issue on manufacturing systems
Reference architecture for holonic manufacturing systems: PROSA
Computers in Industry - Special issue on manufacturing systems
A reference model for team-enabled workflow management systems
Data & Knowledge Engineering
Advances in business process management
Data & Knowledge Engineering - Special issue: Advances in business process management
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)
Editorial: Special issue on multi-agent and holonic systems in manufacturing
Robotics and Computer-Integrated Manufacturing
Robustness analysis of holonic assembly/disassembly processes with Petri nets
Automatica (Journal of IFAC)
Developing cooperation mechanism for multi-agent systems with Petri nets
Engineering Applications of Artificial Intelligence
Dynamic composition of holonic processes to satisfy timing constraints with minimal costs
Engineering Applications of Artificial Intelligence
Brief paper: Collaborative reconfiguration mechanism for holonic manufacturing systems
Automatica (Journal of IFAC)
ADACOR: A holonic architecture for agile and adaptive manufacturing control
Computers in Industry
Design of reconfiguration mechanism for holonic manufacturing systems based on formal models
Engineering Applications of Artificial Intelligence
Analysis of contract net in multi-agent systems
Automatica (Journal of IFAC)
Design of reconfiguration mechanism for holonic manufacturing systems based on formal models
Engineering Applications of Artificial Intelligence
Context-aware workflow management based on formal knowledge representation models
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part II
Collaborative workflow management in holonic multi-agent systems
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
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Although it provides a flexible architecture to deal with changes and uncertainties, holonic manufacturing systems (HMS) also pose challenges in design and implementation. A challenge is to design a problem solving environment to guide the holons in HMS such that the decisions made by the individual holons as a whole collaboratively compose the production processes for the tasks. The objective of this paper is to propose a problem solving environment for the composition of minimal cost processes in HMS. Given a specific product type and due date, the problem is to dynamically compose a complete process in HMS to process the product by the due date. To achieve the objective, we combine multi-agent systems technology with Petri nets in this paper. We first propose architecture and a two-layer contract net protocol to describe the negotiation between order holons, product holons and resource holons in HMS. To determine whether it is feasible for a set product holons and resource holons to compose a process for an order holon, we propose Petri net models to capture the workflows and activities in product holons and resource holons, respectively. To optimize the cost in the composed manufacturing process, the concept of activity-based costing is adopted to assign the cost of the activities to Petri nets. The advantages of our design methodology include specification of workflows and resource activities with PNML to minimize the cost. To realize the two-layer contract net protocol relies on a mechanism for a holon to discover the services provided by other holons. We proposed a scheme for publication and discovery of holon services based on FIPA compliant multi-agent system platform. Based on the service publication and discovery scheme, interactions between holons with the two-layer contract net protocol can be realized. We develop a HMS system to solve the process composition problem.