Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm

Robotics and Computer-Integrated Manufacturing

Volumn 29, Issue 5, 2013, Pages 418-429

  Dai, Min ^a,b   Tang, Dunbing ^a,b   Giret, Adriana ^c   Salido, Miguel A ^c   Li, W D ^d  

^a NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS   (China)

^b JIANGSU KEY LABORATORY OF PRECISION AND MICRO MANUFACTURING TECHNOLOGY   (China)

^c UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

^d Faculty of Engineering and Computing   (United Kingdom)

Author keywords

Energy consumption; Energy saving; Flexible flow shop scheduling (FFS); Genetic simulated annealing algorithm; Makespan

Indexed keywords

ENERGY EFFICIENT; ENERGY-EFFICIENT SCHEDULING; FLEXIBLE FLOW SHOP; GENETIC SIMULATED ANNEALING ALGORITHMS; MAKESPAN; PERFORMANCE INDICATORS; PRODUCTION SCHEDULING PROBLEMS; TOTAL ENERGY CONSUMPTION;

BENCHMARKING; COMPUTATIONAL COMPLEXITY; ENERGY CONSERVATION; ENERGY EFFICIENCY; ENERGY UTILIZATION; ENVIRONMENTAL IMPACT; MACHINE SHOP PRACTICE; MATHEMATICAL MODELS; MULTIOBJECTIVE OPTIMIZATION; PRODUCTION CONTROL; PRODUCTION ENGINEERING; SCHEDULING ALGORITHMS;

SCHEDULING;

EID: 84878535815     PISSN: 07365845     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rcim.2013.04.001     Document Type: Article

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