Interstage transportation planning in the deterministic flow-shop environment
Operations Research
Nearly on line scheduling of preemptive independent tasks
Discrete Applied Mathematics - Special issue: Combinatorial Optimization 1992 (CO92)
Lower bounds for the job-shop scheduling problem on multi-purpose machines
Proceedings of the workshop on Discrete algorithms
Constraint-Based Scheduling
Operations Research Letters
Search tree based approaches for parallel machine scheduling
Computers and Operations Research
Energetic reasoning revisited: application to parallel machine scheduling
Journal of Scheduling
Computers and Operations Research
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The multiprocessor flow-shop is the generalization of the flow-shop in which each machine is replaced by a set of identical machines. As finding a minimum-length schedule is NP-hard, we set out to find good lower and upper bounds. The lower bounds are based on relaxation of the capacities of all machine sets except one. This results in a parallel-machine scheduling problem with release dates and delivery times, for which we derive a number of lower bounds. We pay special attention to the time complexity of algorithms for computing these bounds. To obtain the upper bounds a constructive algorithm in subsequent stages is used. We present an experimental comparison of the various lower and upper bounds for the multiprocessor flow-shop problem.