Real-time piloting of flexible manufacturing systems

In this paper we introduce management functions in real time monitoring of FMS. We consider FMS in which the control unit is modeled using objects Petri nets. In these systems, machine round-ups connected by complex carriage systems, particular resources behaviour and disruption appearance generate...

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Bibliographic Details
Published in:European journal of operational research 1994-10, Vol.78 (2), p.252-261
Main Authors: Tawegoum, R., Castelain, E., Gentina, J.C.
Format: Article
Language:English
Subjects:
Applied sciences
Computer science
control theory
systems
Control theory. Systems
Decision making
Exact sciences and technology
Flexible manufacturing systems
On-line production control
Perturbations
Priority functions
Process control. Computer integrated manufacturing
Production controls
Production scheduling
Real time
Scheduling rules
Studies
VDTs
Video display terminals
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Summary:In this paper we introduce management functions in real time monitoring of FMS. We consider FMS in which the control unit is modeled using objects Petri nets. In these systems, machine round-ups connected by complex carriage systems, particular resources behaviour and disruption appearance generate considerable data flow. The flexibility of the system is expressed at the control level by indetermisms, creating resources access conflicts and encouraging parallelism of operations. Particular resources behaviour and disruption appearance create dynamic stickings, which need real time resolution methods. We aim for autonomous decisions of the hierarchical level yielding for the minimisation of reffective delays introduced by perturbations. We propose a hierarchical level divided into three parts: a planification level, a schedule level and a real time piloting level which we will detail in this paper. As the shop floor is steadily perturbated, the piloting level must use both, flexibility of machines and transport system to minimize part traveling duration. We present some fast methods able to absorb real time perturbations occuring during production, and to optimize resources management. The major difficulty is the estimation of the consequences induced by correcting actions. Thus, we look for a satisfying solution as a compromise between schedule propositions and current shop state.
ISSN:0377-2217
1872-6860
DOI:10.1016/0377-2217(94)90387-5