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

Increasing energy price and requirements to reduce emission are new challenges faced by manufacturing enterprises. A considerable amount of energy is wasted by machines due to their underutilisation. Consequently, energy saving can be achieved by turning off the machines when they lay idle for a com...

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Bibliographic Details
Main Authors: Ying Liu, Haibo Dong, Niels Lohse, Sanja Petrovic
Format: Default Article
Published: 2016
Subjects:
Mechanical engineering not elsewhere classified
Energy efficient production planning
Sustainable manufacturing
Job shop scheduling
Multi-objective optimisation
Genetic algorithms
Mechanical Engineering not elsewhere classified
Online Access:https://hdl.handle.net/2134/21968
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https://hdl.handle.net/2134/21968

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