Multi-objective genetic algorithm for energy-efficient job shop scheduling

The paper investigates the effects of production scheduling policies aimed towards improving productive and environmental performances in a job shop system. A green genetic algorithm allows the assessment of multi-objective problems related to sustainability. Two main considerations have emerged fro...

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Veröffentlicht in:	International journal of production research Jg. 53; H. 23; S. 7071 - 7089
Hauptverfasser:	May, Gökan, Stahl, Bojan, Taisch, Marco, Prabhu, Vittal
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Taylor & Francis 02.12.2015 Taylor & Francis LLC
Schlagworte:	Algorithms Assessments Energy consumption Energy efficiency Energy policy Genetic algorithms job shop Job shop scheduling Job shops machine control policies Machine shops Production scheduling scheduling Studies Sustainability sustainable manufacturing
ISSN:	0020-7543, 1366-588X
Online-Zugang:	Volltext
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