Multi-objective sustainable process plan generation in a reconfigurable manufacturing environment: exact and adapted evolutionary approaches

Achieving competitiveness in nowadays manufacturing market goes through being cost and time-efficient as well as environmentally harmless. Reconfigurable manufacturing system (RMS) is a paradigm that is able to meet these challenges due to its scalability and integrability. In this paper, we aim to...

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Vydané v:	International journal of production research Ročník 57; číslo 8; s. 2531 - 2547
Hlavní autori:	Touzout, Faycal A., Benyoucef, Lyes
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Taylor & Francis 18.04.2019 Taylor & Francis LLC
Predmet:	AMOSA Classification Completion time Computer simulation Evolutionary algorithms Genetic algorithms Greenhouse effect Greenhouse gases Integer programming Iterative methods Linear programming Manufacturing multi-objective integer linear programming Multiple objective analysis NSGA-II process plan generation Production costs reconfigurable manufacturing system (RMS) Reconfiguration Simulated annealing Sorting algorithms Sustainability
ISSN:	0020-7543, 1366-588X
On-line prístup:	Získať plný text
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