Add to ORKGSummarization: An Evolutionary Algorithm (EA) strategy for the optimization of generic Work-In-Process (WIP) scheduling fuzzy controllers is presented. The EA is used to tune a set of fuzzy control modules which are used for distributed and supervisory WIP scheduling. The distributed controllers objective is to control the rate in each production stage so that satisfies the demand for final products while reducing WIP within the system. The EA identifies the parameters for which the fuzzy controller performs optimal with respect to WIP and backlog minimization. The proposed strategy is compared to known heuristically tuned fuzzy control approaches. Simulation results show that the EA strategy improves system’s performance.Παρουσιάστηκε στο:...
Complex production systems can produce more than one part type. For these systems, production rate a...
The distributed integration of process planning and scheduling (DIPPS) aims to simultaneously arrang...
This paper proposes a fuzzy inference system in choosing alternative machines for integrated process...
Summarization: In this paper, an evolutionary algorithm (EA) strategy for the optimization of generi...
Summarization: This paper presents an evolutionary algorithm (EA) strategy for the optimization of g...
Summarization: This paper presents an evolutionary algorithm (EA) strategy for the optimization of g...
Summarization: The effectiveness of optimized fuzzy controllers in the production scheduling has bee...
The current trend in manufacturing technology is considered by two main items automation andflexibil...
Summarization: A supervisory controller is derived for scheduling (single/multiple-part-type, reentr...
10 pagesInternational audienceThis paper considers the modelling and simulation of a hierarchical pr...
published_or_final_versionIndustrial and Manufacturing Systems EngineeringDoctoralDoctor of Philosop...
Scheduling is a complex problem which occurs often in a manufacturing environment. Most of the avail...
Scheduling is a complex problem which occurs often in a manufacturing environment. Most of the avail...
Current manufacturing scheduling and control systems are incapable of coping with complex system dyn...
AbstractJob scheduling in flexible production systems is a complex task even for simple cases. This ...
Complex production systems can produce more than one part type. For these systems, production rate a...
The distributed integration of process planning and scheduling (DIPPS) aims to simultaneously arrang...
This paper proposes a fuzzy inference system in choosing alternative machines for integrated process...
Summarization: In this paper, an evolutionary algorithm (EA) strategy for the optimization of generi...
Summarization: This paper presents an evolutionary algorithm (EA) strategy for the optimization of g...
Summarization: This paper presents an evolutionary algorithm (EA) strategy for the optimization of g...
Summarization: The effectiveness of optimized fuzzy controllers in the production scheduling has bee...
The current trend in manufacturing technology is considered by two main items automation andflexibil...
Summarization: A supervisory controller is derived for scheduling (single/multiple-part-type, reentr...
10 pagesInternational audienceThis paper considers the modelling and simulation of a hierarchical pr...
published_or_final_versionIndustrial and Manufacturing Systems EngineeringDoctoralDoctor of Philosop...
Scheduling is a complex problem which occurs often in a manufacturing environment. Most of the avail...
Scheduling is a complex problem which occurs often in a manufacturing environment. Most of the avail...
Current manufacturing scheduling and control systems are incapable of coping with complex system dyn...
AbstractJob scheduling in flexible production systems is a complex task even for simple cases. This ...
Complex production systems can produce more than one part type. For these systems, production rate a...
The distributed integration of process planning and scheduling (DIPPS) aims to simultaneously arrang...
This paper proposes a fuzzy inference system in choosing alternative machines for integrated process...