A hybrid computer simulation-artificial neural network algorithm for optimisation of dispatching rule selection in stochastic job shop scheduling problems
Year of publication: |
2012
|
---|---|
Authors: | Azadeh, Mohammad Ali ; Negahban, A. ; Moghaddam, M. |
Published in: |
International journal of production research. - London : Taylor & Francis, ISSN 0020-7543, ZDB-ID 160477-6. - Vol. 50.2012, 2 (15.1.), p. 551-566
|
Subject: | artificial neural network | job shop scheduling | makespan minimisation | meta-modelling | simulation | stochastic processing time | Scheduling-Verfahren | Scheduling problem | Neuronale Netze | Neural networks | Theorie | Theory | Simulation | Stochastischer Prozess | Stochastic process | Durchlaufzeit | Lead time | Produktionssteuerung | Production control | Algorithmus | Algorithm | Evolutionärer Algorithmus | Evolutionary algorithm |
-
Kumar, Harendra, (2022)
-
Bouška, Michal, (2023)
-
Guo, Jun, (2022)
- More ...
-
Azadeh, Mohammad Ali, (2011)
-
An integrated framework for supplier evaluation and order allocation in a non-crisp environment
Azadeh, Mohammad Ali, (2010)
-
Azadeh, Mohammad Ali, (2010)
- More ...