A two-machine flowshop sequencing problem with limited waiting time constraints
Computers and Industrial Engineering
Three scheduling problems with deteriorating jobs to minimize the total completion time
Information Processing Letters
The learning effect: Getting to the core of the problem
Information Processing Letters
Some scheduling problems with sum-of-processing-times-based and job-position-based learning effects
Information Sciences: an International Journal
A new approach to the learning effect: Beyond the learning curve restrictions
Computers and Operations Research
Some scheduling problems with general position-dependent and time-dependent learning effects
Information Sciences: an International Journal
Solution algorithms for the makespan minimization problem with the general learning model
Computers and Industrial Engineering
Single-machine scheduling with sum-of-logarithm-processing-times-based learning considerations
Information Sciences: an International Journal
Experience-based approach to scheduling problems with the learning effect
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Scheduling problems with general effects of deterioration and learning
Information Sciences: an International Journal
Scheduling with general position-based learning curves
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
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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Scheduling research has increasingly taken the concept of learning into consideration. In general, a worker's learning effect on a job depends not only on the total processing time of the jobs that he has processed but also on the job's position. Besides, in the early stage of processing a given set of jobs, the worker is not familiar with the operations, so the learning effect on the jobs scheduled early is not apparent. Based on the above observations, we introduce in this paper a position-weighted learning effect model based on sum-of-logarithm-processing-times and job position for scheduling problems. We provide optimal solutions for the single-machine problems to minimize the makespan and the total completion time, and for the single-machine problem to minimize the sum of weighted completion times, the maximum lateness, and the total tardiness under an agreeable situation. We also solve two special cases of the flowshop problem under the learning model.