Data-mining approach to support layout configuration decision-making in Evolvable Production Systems

Neves, Pedro; Ribeiro, Luís; Dias-Ferreira, João; Maffei, Antonio; Onori, Mauro; Barata, José

doi:10.1109/smc.2014.6974497

Cited by 1 publication

(2 citation statements)

References 34 publications

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“…In this sense, the performance of the system will be vastly dictated by the self-organization embedded in the system, the existent system layout (i.e. DPs positions and connections) and how the modules are distributed in the system (Neves et al , 2014a).…”

Section: Literature Analysis and Supporting Conceptsmentioning

confidence: 99%

“…It uses the Jung library (O’Madadhain et al , 2003) to support the visualization and analysis of the graphs and the Combinatorics lib 2.1 (Paukov, 2015) to support the generation of all candidate solutions. After the candidate reconfigurations are selected, according to the previously defined metrics, the user can proceed with the simulation of the selected candidate solutions as detailed by Neves et al (2014a, 2014b).…”

Section: Test Casementioning

confidence: 99%

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Layout validation and re-configuration in Plug&Produce systems

Neves

Ribeiro

Dias-Ferreira

et al. 2016

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Purpose This paper aims to provide a method and decision support tool to enhance swift reconfiguration of Plug&Produce (P&P) systems in the presence of continuously changing production orders. Design/methodology/approach The paper reviews different production scenarios and system design and configuration methods and more particularly specifies the need of decision support tools for P&P systems that integrate configuration and planning activities. This problem is then addressed by proposing a method that helps reduce the solution space of the reconfiguration problem and allows the timely selection of the most promising reconfiguration alternative. Findings The proposed method was found to be helpful in reducing the reconfiguration alternatives that need to be considered and in selecting the most promising one for different orders. The advantages and limitations of this method are identified, and an illustrative test case of the approach is presented, corroborating the method applicability in the absence of large queues in the system. Originality/value This paper addresses a less explored domain within the P&P systems research field, which is the system reconfiguration. It proposed a method to support system validation and reconfiguration jointly with an illustrative test case. This represents an original contribution to the P&P research field, and it can have impact in improving agility and decreasing the complexity of reconfiguration activities to cope with constantly changing production orders.

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Section: Literature Analysis and Supporting Conceptsmentioning

confidence: 99%

Section: Test Casementioning

confidence: 99%