Optimal sequencing by modular decomposition: Polynomial algorithms
Operations Research
Optimal sequencing via modular decomposition: characterization of sequencing functions
Mathematics of Operations Research
Scheduling deteriorating jobs on a single processor
Operations Research
Complexity of scheduling tasks with time-dependent execution times
Information Processing Letters
Scheduling jobs with varying processing 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
Minimizing the makespan in a single machine scheduling problem with a time-based learning effect
Information Processing Letters
Single-machine scheduling with deteriorating jobs under a series-parallel graph constraint
Computers and Operations Research
A note on scheduling deteriorating jobs
Mathematical and Computer Modelling: An International Journal
'Strong'-'weak' precedence in scheduling: Extensions to series-parallel orders
Discrete Applied Mathematics
Scheduling jobs with an exponential sum-of-actual-processing-time-based learning effect
Computers & Mathematics with Applications
Scheduling problems with partially ordered jobs
Automation and Remote Control
Single machine scheduling with precedence constraints and positionally dependent processing times
Computers and Operations Research
Scheduling with due date assignment under special conditions on job processing
Journal of Scheduling
Vyacheslav Tanaev: contributions to scheduling and related areas
Journal of Scheduling
Journal of Intelligent Manufacturing
Computers and Industrial Engineering
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We consider various single machine scheduling problems in which the processing time of a job depends either on its position in a processing sequence or on its start time. We focus on problems of minimizing the makespan or the sum of (weighted) completion times of the jobs. In many situations we show that the objective function is priority-generating, and therefore the corresponding scheduling problem under series-parallel precedence constraints is polynomially solvable. In other situations we provide counter-examples that show that the objective function is not priority-generating.