A hierarchical model for multiple range production systems

Abstract Production system types evolved lately to multiple range production systems (MPRS) in the context of more complex and more interconnected economical functions and more restrictive time-efficiency constraints. In MRPSs, interactions between components are various and numerous. Concurrency, resource sharing and synchronization occur. Uncertainty, multiple state and control variables and various nonlinear relations characterize MRPSs. To properly handle these aspects, the modern production systems tend to be automated and consequently two tasks are required: (1) to describe as exact as possible the system, both structurally and behaviorally (by a proper model) and (2) to develop an adequate control strategy for the system. In the paper a hierarchical model for MRPSs and a geneticalgorithm-based control strategy are proposed.

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