Single facility scheduling with nonlinear processing times
Computers and Industrial Engineering
Scheduling deteriorating jobs on a single processor
Operations Research
Three scheduling problems with deteriorating jobs to minimize the total completion time
Information Processing Letters
A new approach to the learning effect: Beyond the learning curve restrictions
Computers and Operations Research
Some scheduling problems with deteriorating jobs and learning effects
Computers and Industrial Engineering
Computers and Industrial Engineering
Solution algorithms for the makespan minimization problem with the general learning model
Computers and Industrial Engineering
Experience-based approach to scheduling problems with the learning effect
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Minimizing the makespan on a single machine with learning and unequal release times
Computers and Industrial Engineering
Single-machine group scheduling with resource allocation and learning effect
Computers and Industrial Engineering
Some single-machine scheduling problems with a truncation learning effect
Computers and Industrial Engineering
Computers and Industrial Engineering
Computers and Industrial Engineering
Computers and Industrial Engineering
COCOA'11 Proceedings of the 5th international conference on Combinatorial optimization and applications
Two-machine flowshop scheduling with truncated learning to minimize the total completion time
Computers and Industrial Engineering
Deteriorating job scheduling to minimize the number of late jobs with setup times
Computers and Industrial Engineering
Computers and Industrial Engineering
Two-agent scheduling with learning consideration
Computers and Industrial Engineering
Journal of Intelligent Manufacturing
Uniform parallel-machine scheduling to minimize makespan with position-based learning curves
Computers and Industrial Engineering
Computers and Operations Research
Single machine scheduling with autonomous learning and induced learning
Computers and Industrial Engineering
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Recently, interest in scheduling with deteriorating jobs and learning effects has kept growing. However, research in this area has seldom considered setup times. We introduce a new scheduling model in which job deterioration and learning, and setup times are considered simultaneously. In the proposed model, the actual processing time of a job is defined as a function of the setup and processing times of the jobs already processed and the job's own scheduled position in a sequence. In addition, the setup times are assumed to be proportional to the actual processing times of the already scheduled jobs. We derive polynomial-time optimal solutions for some single-machine problems with or without the presence of certain conditions.