Computers and Operations Research
A simulated annealing heuristic for scheduling in a flowshop with bicriteria
ICC&IE-94 Selected papers from the 16th annual conference on Computers and industrial engineering
A survey of very large-scale neighborhood search techniques
Discrete Applied Mathematics
A very fast Tabu search algorithm for the permutation flow shop problem with makespan criterion
Computers and Operations Research
Design and Analysis of Experiments
Design and Analysis of Experiments
Minimizing makespan on an m-machine re-entrant flowshop
Computers and Operations Research
Minimizing makespan on an m-machine re-entrant flowshop
Computers and Operations Research
Heuristic algorithms for two machine re-entrant flow shop
Theoretical Computer Science
Proceedings of the 40th Conference on Winter Simulation
Minimizing total completion time for re-entrant flow shop scheduling problems
Theoretical Computer Science
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories
Minimizing total tardiness in a two-machine re-entrant flowshop with sequence-dependent setup times
Computers and Operations Research
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This paper focuses on an m-machine re-entrant flowshop scheduling problem with the objective of minimizing makespan. In the re-entrant flowshop considered here, routes of all jobs are identical as in ordinary flowshops, but the jobs must be processed multiple times on the machines. We present heuristic algorithms, which are modified from well-known existing algorithms for the general m-machine flowshop problem or newly developed in this research. For evaluation of the performance of the algorithms, computational experiments are performed on randomly generated test problems and results are reported.