A multi-objective genetic algorithm for optimisation of energy consumption and shop floor production performance

International Journal of Production Economics

Volumn 179, Issue , 2016, Pages 259-272

  Liu, Ying ^a   Dong, Haibo ^b   Lohse, Niels ^a   Petrovic, Sanja ^c  

^a LOUGHBOROUGH UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF NOTTINGHAM NINGBO CHINA   (China)

^c UNIVERSITY OF NOTTINGHAM   (United Kingdom)

Author keywords

Energy efficient production planning; Genetic algorithms; Job shop scheduling; Multi objective optimisation; Sustainable manufacturing

Indexed keywords

ALGORITHMS; ENERGY CONSERVATION; ENERGY EFFICIENCY; ENERGY UTILIZATION; GENETIC ALGORITHMS; INDUSTRIAL RESEARCH; JOB SHOP SCHEDULING; MANUFACTURE; MULTIOBJECTIVE OPTIMIZATION; PRODUCTION CONTROL; SCHEDULING;

BI-OBJECTIVE OPTIMISATION PROBLEMS; MANUFACTURING ENTERPRISE; MANUFACTURING INDUSTRIES; MULTI-OBJECTIVE GENETIC ALGORITHM; PRODUCTION PLANNING; REDUCE ENERGY CONSUMPTION; SUSTAINABLE MANUFACTURING; TOTAL-WEIGHTED TARDINESS;

OPTIMIZATION;

EID: 84976554750     PISSN: 09255273     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijpe.2016.06.019     Document Type: Article

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