Job lateness in a two-machine flowshop with setup times separated
Computers and Operations Research
A heuristic algorithm for mean flowtime objective in flowshop scheduling
Computers and Operations Research
Computers and Industrial Engineering
Tabu search for total tardiness minimization in flowshop scheduling problems
Computers and Operations Research
Data & Knowledge Engineering
Minimizing the bicriteria of makespan and maximum tardiness with an upper bound on maximum tardiness
Computers and Operations Research
Minimizing total flow time in permutation flow shop scheduling with improved simulated annealing
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Setting a common due date in a constrained flowshop: A variable neighbourhood search approach
Computers and Operations Research
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This paper addresses the m-machine flowshop problem with the objective of minimizing a weighted sum of makespan and maximum tardiness. Two types of the problem are addressed. The first type is to minimize the objective function subject to the constraint that the maximum tardiness should be less than a given value. The second type is to minimize the objective without the constraint. A new heuristic is proposed and compared to two existing heuristics. Computational experiments indicate that the proposed heuristic is much better than the existing ones. Moreover, a dominance relation and a lower bound are developed for a three-machine problem. The dominance relation is shown to be quite efficient.