The persistence and transfer of learning in industrial settings
Management Science
Behind the learning curve: a sketch of the learning process
Management Science
Toward a Theory of Continuous Improvement and the Learning Curve
Management Science
Deliberate Learning and the Evolution of Dynamic Capabilities
Organization Science
Behind the Learning Curve: Linking Learning Activities to Waste Reduction
Management Science
Some scheduling problems with sum-of-processing-times-based and job-position-based learning effects
Information Sciences: an International Journal
Some scheduling problems with deteriorating jobs and learning effects
Computers and Industrial Engineering
Single-machine scheduling with sum-of-logarithm-processing-times-based learning considerations
Information Sciences: an International Journal
Some scheduling problems with deteriorating jobs and learning effects
Computers and Industrial Engineering
Scheduling problems with deteriorating jobs and learning effects including proportional setup times
Computers and Industrial Engineering
Single-machine group scheduling problems under the effects of deterioration and learning
Computers and Industrial Engineering
The single-machine total weighted tardiness scheduling problem with position-based learning effects
Computers and Operations Research
Scheduling with general position-based learning curves
Information Sciences: an International Journal
A Hidden Markov Model of Developer Learning Dynamics in Open Source Software Projects
Information Systems Research
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As an important management tool of winning competitive advantage, induced learning effect has been widely studied in empirical research area. But it is hardly considered in scheduling problems. In this paper, autonomous and induced learning are both taken into consideration. The investment of induced learning is interpreted as specialized time intervals to implement training, knowledge sharing and transferring etc. We present algorithms to determine jointly the optimal job sequence and the optimal position of induced learning intervals, with the objective of minimizing makespan.