Single facility scheduling with nonlinear processing times
Computers and Industrial Engineering
Scheduling deteriorating jobs on a single processor
Operations Research
Scheduling jobs under simple linear deterioration
Computers and Operations Research
Time-Dependent Scheduling
Scheduling: Theory, Algorithms, and Systems
Scheduling: Theory, Algorithms, and Systems
Single-machine 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
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In this paper, we introduce a single-machine scheduling model considering all of the following parameters: general deterioration and learning effects as well as general setup times. We prove that the shortest processing time (SPT) rule produces optimal schedules for the following seven minimization objectives: makespan, sum of αth (α ≥ 0) power of jobs' completion times, total weighted completion time, maximum lateness, total tardiness, total weighted tardiness, and number of tardy jobs. We further show that in the case of resumable scheduling with availability constraints, the above conclusions are still valid.