A FAST Method to Achieve Flexible Production Programming Systems

One of the main critical problems in manufacturing system domains is the production scheduling process, because an agile and reactive production planning and scheduling system is essential in manufacturing. The production scheduling process is a complex problem in which finding a suitable production scheduling can greatly increase the effectiveness of highly flexible production processes. Nevertheless, this high flexibility makes the production scheduling and acquisition of relevant data quite complicated. Therefore, there is a strong demand for a universal and flexible tool for production scheduling capable of increasing the utilization of resources and that supports a decision-making process for the selection of production orders. In this paper, a flexible and adaptive scheduling tool (FAST) to develop an adaptable, fault-tolerant, and scalable scheduling system for a manufacturing environment is presented. This approach is based on multiagent systems (MAS), which provide a natural way to solve problems in domains of this kind.

[1]  Vicente Julián,et al.  Applying Multi-Agent System Modelling to the Scheduling Problem in a Ceramic Tile Factory , 2005 .

[2]  Carlos Ramos,et al.  A holonic approach for task scheduling in manufacturing systems , 1996, Proceedings of IEEE International Conference on Robotics and Automation.

[3]  Paul Valckenaers,et al.  An Object-Oriented Execution Model for a Machine Controller Holon , 1998, Eur. J. Control.

[4]  B. J. McCarragher,et al.  Maintenance resource allocation using decentralised co-operative control , 1999, 1999 Information, Decision and Control. Data and Information Fusion Symposium, Signal Processing and Communications Symposium and Decision and Control Symposium. Proceedings (Cat. No.99EX251).

[5]  Luc Bongaerts,et al.  Programming, scheduling, and control of flexible assembly systems , 1994 .

[6]  Luc Bongaerts,et al.  Reference architecture for holonic manufacturing systems: PROSA , 1998 .

[7]  A.H.C. Ng,et al.  HSCS-the design of a holonic shopfloor control system , 1996, Proceedings 1996 IEEE Conference on Emerging Technologies and Factory Automation. ETFA '96.

[8]  Michal Pechoucek,et al.  ExPlanTech: multiagent support for manufacturing decision making , 2005, IEEE Intelligent Systems.

[9]  László Monostori,et al.  A Market Approach to Holonic Manufacturing , 1996 .

[10]  D. H. Jarvis,et al.  A strategy for the migration of existing manufacturing systems to holonic systems , 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

[11]  Astghik Babayan,et al.  Solving the n-job 3-stage flexible flowshop scheduling problem using an agent-based approach , 2004 .

[12]  Tapio Heikkilä,et al.  Software development for holonic manufacturing systems , 1998 .

[13]  Peter B. Luh,et al.  Holonic planning and scheduling for a robotic assembly testbed , 1994, Proceedings of the Fourth International Conference on Computer Integrated Manufacturing and Automation Technology.

[14]  D. McFarlane,et al.  Holonic Manufacturing Control: Rationales, Developments and Open Issues , 2003 .

[15]  Douglas H. Norrie,et al.  Distributed decision-making using the contract net within a mediator architecture , 1997, Decis. Support Syst..

[16]  Hendrik Van Brussel,et al.  Towards the design of autonomic nervousness handling in holonic manufacturing execution systems , 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

[17]  Stefan Bussmann Daimler-Benz.  An Agent-Oriented Architecture for Holonic Manufacturing Control , 2007 .

[18]  Estefania Argente,et al.  Solving Ceramic Tile Factory Production Programming by MAS , 2005, CCIA.

[19]  H.-J. Jacobs,et al.  An Approach to Holonic Components in Control of Machine Tools , 1996 .

[20]  Kazuo Miyashita,et al.  CAMPS: a constraint-based architecturefor multiagent planning and scheduling , 1998, J. Intell. Manuf..

[21]  Agostino Poggi,et al.  Jade - a fipa-compliant agent framework , 1999 .

[22]  Martyn Fletcher,et al.  Fault‐tolerant holonic manufacturing systems , 2001, Concurr. Comput. Pract. Exp..

[23]  Tapio Heikkilä,et al.  Holonic control for manufacturing systems: functional design of a manufacturing robot cell , 1997 .

[24]  Peter B. Luh,et al.  Holonic manufacturing scheduling: architecture, cooperation mechanism, and implementation , 1997, Proceedings of IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

[25]  Klaus Fischer,et al.  An agent-based Approach to holonic manufacturing systems , 1998, BASYS.

[26]  Estefania Argente,et al.  Goodness and Lacks of MAS Methodologies for Manufacturing Domains , 2005, CEEMAS.

[27]  Jean-Pierre Kruth,et al.  Holonic machine controller: a study and implementation of holonic behaviour to current NC controller , 1997 .