Scheduling: Theory, Algorithms, and Systems
Scheduling: Theory, Algorithms, and Systems
Some single-machine and m-machine flowshop scheduling problems with learning considerations
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
Reliability assessment and failure analysis of lithium iron phosphate batteries
Information Sciences: an International Journal
Parallel-machine scheduling to minimize makespan with fuzzy processing times and learning effects
Information Sciences: an International Journal
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Lee and Wu [3] introduce a scheduling model in which the job processing times are affected by both position-based and sum-of-processing-time-based learning effects simultaneously. We demonstrate by a counter-example that their main results are incorrect. We provide a revised model of the general learning effect and show that some single-machine scheduling problems are polynomially solvable under the revised model. We also show that some special cases of flowshop scheduling can be solved in polynomial time under the revised model.