Computers and Operations Research
Simulated annealing heuristic for flow shop scheduling problems with unrelated parallel machines
Computers and Operations Research
Modeling realistic hybrid flexible flowshop scheduling problems
Computers and Operations Research
Computers and Operations Research
A robust design of simulated annealing approach for mixed-model sequencing
Computers and Industrial Engineering - Special issue: Selected papers from the 30th international conference on computers; industrial engineering
Mixed integer programming for scheduling flexible flow lines with limited intermediate buffers
Mathematical and Computer Modelling: An International Journal
Expert Systems with Applications: An International Journal
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part II
Journal of Intelligent Manufacturing
A two-stage hybrid flowshop scheduling problem in machine breakdown condition
Journal of Intelligent Manufacturing
Journal of Intelligent Manufacturing
Hi-index | 0.00 |
This article addresses the problem of hybrid flexible flow line where some constraints are considered to alleviate the chasm between the real-world industries scheduling and the production scheduling theories. Sequence-dependent setup times, machine release date and time lags are three constraints deemed to project the circumstances commonly found in real-world industries. To tackle the complexity of the problem at hand, we propose an approach base on genetic algorithm (GA). However, the performance of most evolutionary algorithms is significantly impressed by the values determined for the miscellaneous parameters which these algorithms possess. Hence, response surface methodology is applied to set the parameters of GA and to estimate the proper values of GA parameters in continually intervals. Finally, problems of various sizes are utilized to test the performance of the proposed algorithm and to compare it with some existing heuristic in the literature such as SPT, LPT and NEH.