Scheduling deteriorating jobs on a single processor
Operations Research
V-shaped policies for scheduling deteriorating jobs
Operations Research
Scheduling jobs under simple linear deterioration
Computers and Operations Research
Scheduling jobs with step-deterioration; minimizing makespan on a single- and multi-machine
Computers and Industrial Engineering
Parallel machine scheduling with time dependent processing times
Discrete Applied Mathematics
The complexity of scheduling starting time dependent tasks with release times
Information Processing Letters
Three scheduling problems with deteriorating jobs to minimize the total completion time
Information Processing Letters
Minimizing the total weighted completion time of deteriorating jobs
Information Processing Letters
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 general learning functions
Computers & Mathematics with Applications
Computers and Industrial Engineering
Computers & Mathematics with Applications
Single-machine group scheduling problems under the effects of deterioration and learning
Computers and Industrial Engineering
Computers and Industrial Engineering
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
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In this paper we consider the single-machine scheduling problems with the effects of learning and deterioration. By the effects of learning and deterioration, we mean that job processing times are defined by functions of their starting times and positions in the sequence. It is shown that even with the introduction of learning effect and deteriorating jobs to job processing times, single machine makespan and sum of completion times (square) minimization problems remain polynomially solvable, respectively. But for the following objective functions: the weighted sum of completion times and the maximum lateness, this paper proves that the WSPT rule and the EDD rule can construct the optimal sequence under some special cases, respectively.