Some scheduling problems with sum-of-processing-times-based and job-position-based learning effects
Information Sciences: an International Journal
Scheduling: Theory, Algorithms, and Systems
Scheduling: Theory, Algorithms, and Systems
Computers & Mathematics with Applications
Some scheduling problems with general position-dependent and time-dependent learning effects
Information Sciences: an International Journal
Single-machine and flowshop scheduling with a general learning effect model
Computers and Industrial Engineering
Single-machine scheduling with sum-of-logarithm-processing-times-based learning considerations
Information Sciences: an International Journal
Some single-machine and m-machine flowshop scheduling problems with learning considerations
Information Sciences: an International Journal
Exact and heuristic algorithms for parallel-machine scheduling with DeJong's learning effect
Computers and Industrial Engineering
Computers and Operations Research
Some single-machine scheduling problems with a truncation learning effect
Computers and Industrial Engineering
Scheduling with general position-based learning curves
Information Sciences: an International Journal
Information Sciences: an International Journal
A revision of machine scheduling problems with a general learning effect
Mathematical and Computer Modelling: An International Journal
Mathematical and Computer Modelling: An International Journal
Uniform parallel-machine scheduling to minimize makespan with position-based learning curves
Computers and Industrial Engineering
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Recently, learning effects in scheduling problems have received growing attention. The position-based learning model seems to be a realistic assumption for the case where the actual processing of the job is mainly machine driven. In this paper, we consider the sum-of-processing-time-based learning model. We propose a learning model which considers both the machine and human learning effects, simultaneously. We first show that the position-based learning and the sum-of-processing-time-based learning models in the literature are special cases of the proposed model. Moreover, we present the solution procedures for some single-machine and some flowshop problems.