Scheduling deteriorating jobs on a single processor
Operations Research
V-shaped policies for scheduling deteriorating jobs
Operations Research
Complexity of scheduling tasks with time-dependent execution times
Information Processing Letters
Scheduling jobs under simple linear deterioration
Computers and Operations Research
Parallel machine scheduling with time dependent processing times
Discrete Applied Mathematics
Scheduling linearly deteriorating jobs on multiple machines
Computers and Industrial Engineering - Special issue: new advances in analysis of manufacturing systems
Three scheduling problems with deteriorating jobs to minimize the total completion time
Information Processing Letters
Scheduling jobs under decreasing linear deterioration
Information Processing Letters
Flow shop scheduling problems with decreasing linear deterioration under dominant machines
Computers and Operations Research
Single-machine group scheduling problems with deterioration consideration
Computers and Operations Research
A two-machine flowshop makespan scheduling problem with deteriorating jobs
Computers and Industrial Engineering
A deteriorating jobs problem with quadratic function of job lateness
Computers and Industrial Engineering
Computers and Industrial Engineering
Single-machine group scheduling problems under the effects of deterioration and learning
Computers and Industrial Engineering
Single-machine scheduling with deteriorating jobs and setup times to minimize the maximum tardiness
Computers and Operations Research
A single-machine scheduling with a truncated linear deterioration and ready times
Information Sciences: an International Journal
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This paper considers single machine scheduling problems with group technology (GT) and deteriorating jobs. A sequence independent setup is required to process a job from a different group and jobs in each group are processed together. We consider the case of jobs whose processing times are a decreasing function of their starting time. The objectives of scheduling problems are to minimize the makespan and the total completion time, respectively. We also provide polynomial time algorithms to solve these problems.