On Rescheduling in Holonic Manufacturing Systems

Pascal, Carlos; Pănescu, Doru

doi:10.1007/978-3-319-51100-9_18

Cited by 5 publications

(1 citation statement)

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“…Generally, CSP models are used to define a design problem in a mathematical-based representation with parameters, variables, functions, and constraints [29]. A CSP solver reduces the space of solutions by the constraint satisfaction analysis [30]; therefore, this approach is common in mathematical and artificial intelligent applications [31].…”

Section: Csp Backgroundmentioning

confidence: 99%

A constraint-based approach for optimizing the design of overhead lines

Cicconi

Manieri

Nardelli

et al. 2020

Int J Interact Des Manuf

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The use of computational methods in engineering design is a long-standing issue. Several mathematical approaches have been investigated in the literature to support the design optimization of engineering products. Most of them are focused on the optimization of a single structure, without considering a system of structures. The design of supports for electric lines requires tools for the management and sizing of a system of structures that interacts with each other under specific load conditions. This paper deals with a framework to support the design optimization of an overhead line using methods related to the theory of the Constraint Satisfaction Problem. The object-oriented model of a transmission line has been described and then implemented into a prototypical software platform. The parameters to be considered as variables are defined by the designer at the beginning of the optimization process. These variables are geometrical dimensions, poles locations, cable pre-tension, etc. The set of constraints is related to normative, climate conditions, datasheets, material limits, and expert knowledge. To demonstrate the effectiveness of this approach, a case study has been developed considering a variable number of constraints and parameters. In particular, the case study is focused on the design of a low-voltage sub-network between two distribution substations.

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Section: Csp Backgroundmentioning

confidence: 99%