A multi-objective genetic algorithm for optimisation of energy consumption and shop floor production performance
Year of publication: |
September 2016
|
---|---|
Authors: | Liu, Ying ; Dong, Haibo ; Lohse, Niels ; Petrovic, Sanja |
Published in: |
International journal of production economics. - Amsterdam [u.a.] : Elsevier, ISSN 0925-5273, ZDB-ID 1092526-0. - Vol. 179.2016, p. 259-272
|
Subject: | Energy efficient production planning | Sustainable manufacturing | Job shop scheduling | Multi-objective optimisation | Genetic algorithms | Evolutionärer Algorithmus | Evolutionary algorithm | Scheduling-Verfahren | Scheduling problem | Produktionsplanung | Production planning | Produktionssteuerung | Production control | Mathematische Optimierung | Mathematical programming | Energiekonsum | Energy consumption | Multikriterielle Entscheidungsanalyse | Multi-criteria analysis | Energieeinsparung | Energy conservation |
-
Zheng, Xu, (2020)
-
The impact of incentive-based programmes on job-shop scheduling with variable machine speeds
Füchtenhans, Marc, (2024)
-
Shoaardebili, Niloofar, (2015)
- More ...
-
A framework for performance measurement during production ramp-up of assembly stations
Doltsinis, Stefanos C., (2013)
-
Review of semantic modelling technologies in support of virtual factory design
Agyapong-Kodua, K., (2013)
-
A framework for performance measurement during production ramp-up of assembly stations
Doltsinis, Stefanos C., (2013)
- More ...