A better heuristic for preemptive parallel machine scheduling with batch setup times
SIAM Journal on Computing
Scheduling independent tasks to reduce mean finishing time
Communications of the ACM
Dynamic programming algorithms for scheduling parallel machines with family setup times
Computers and Operations Research
The complexity of scheduling job families about a common due date
Operations Research Letters
Planning production using mathematical programming: The case of a woodturning company
Computers and Operations Research
Journal of Intelligent Manufacturing
A genetic algorithm-based scheduler for multiproduct parallel machine sheet metal job shop
Expert Systems with Applications: An International Journal
An improved heuristic for parallel machine weighted flowtime scheduling with family set-up times
Computers & Mathematics with Applications
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We consider the scheduling of N jobs divided into G families for processing on M identical parallel machines. No set-up is necessary between jobs belonging to the same family. A set-up must be scheduled when switching from the processing of family i jobs to those of another family j, i ≠ j, the duration of this set-up being the sequence-independent set-up time sj for family j. We propose heuristics for this problem and computationally evaluate the performance of the heuristics relative to lower bounds and solutions obtained using an exact algorithm.