Synthesis of heterarchical manufacturing systems
Computers in Industry - Jo´zsef Hatvany Memorial
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
Information Sciences: an International Journal - Intelligent manufacturing and fault diagnosis (II). Soft computing approaches to fault diagnosis
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
Brief paper: Collaborative reconfiguration mechanism for holonic manufacturing systems
Automatica (Journal of IFAC)
Design of reconfiguration mechanism for holonic manufacturing systems based on formal models
Engineering Applications of Artificial Intelligence
Collaborative composition of processes in holonic manufacturing systems
Computers in Industry
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
Robustness of deadlock control for a class of Petri nets with unreliable resources
Information Sciences: an International Journal
Hi-index | 22.15 |
Although the concept of holonic manufacturing systems (HMS) has been proposed for over a decade, several desired properties of HMS such as fault tolerance have not been quantitatively characterized and rigorously proven. This paper aims to provide a theoretical foundation for analyzing the fault tolerant properties of holonic assembly/disassembly processes in HMS. Fault tolerant analysis is concerned with the impact of resource failures on the operation and performance of HMS. The goal of fault tolerant analysis is to study the ability to retain the operation of holonic processes in the presence of resource failures. To study fault tolerant properties, we propose a collaborative Petri net (CPN) to model holonic assembly/disassembly processes and formulate an optimization problem to minimize the cost of CPN. We propose a greedy algorithm to find a nominal optimal solution. Based on the nominal solution, we analyze the effects of resource failures on the operation and performance of the holonic assembly/disassembly processes. Computational complexities are also analyzed.