Single facility scheduling with nonlinear processing times
Computers and Industrial Engineering
Scheduling deteriorating jobs on a single processor
Operations Research
Sequencing with earliness and tardiness penalties: a review
Operations Research
Weighted-tardiness scheduling on parallel machines with proportional weights
Operations Research
V-shaped policies for scheduling deteriorating jobs
Operations Research
Scheduling jobs under simple linear deterioration
Computers and Operations Research
Computers and Industrial Engineering
Parallel machine earliness and tardiness scheduling with proportional weights
Computers and Operations Research
Single-machine group scheduling with a time-dependent learning effect
Computers and Operations Research
Flow shop scheduling problems with decreasing linear deterioration under dominant machines
Computers and Operations Research
Some scheduling problems with deteriorating jobs and learning effects
Computers and Industrial Engineering
Mathematical and Computer Modelling: An International Journal
Expert Systems with Applications: An International Journal
Exact and heuristic algorithms for parallel-machine scheduling with DeJong's learning effect
Computers and Industrial Engineering
Scheduling problems with general effects of deterioration and learning
Information Sciences: an International Journal
Single-machine scheduling with deteriorating jobs and setup times to minimize the maximum tardiness
Computers and Operations Research
Uniform parallel-machine scheduling to minimize makespan with position-based learning curves
Computers and Industrial Engineering
Parallel machine scheduling to minimize the makespan with sequence dependent deteriorating effects
Computers and Operations Research
A multi-agent system for the weighted earliness tardiness parallel machine problem
Computers and Operations Research
Parallel-machine scheduling to minimize makespan with fuzzy processing times and learning effects
Information Sciences: an International Journal
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This paper considers a parallel machine earliness/tardiness (ET) scheduling problem with different penalties under the effects of position based learning and linear and nonlinear deterioration. The problem has common due-date for all jobs, and effects of learning and deterioration are considered simultaneously. By the effects of learning we mean that the job processing time decreases along the sequence of partly similar jobs, and by the effects of deterioration we mean slowing performance or time increases along the sequence of jobs. This study shows that optimal solution for ET scheduling problem under effects of learning and deterioration is V-shape schedule under certain agreeable conditions. Furthermore, we design a mathematical model for the problem under study and algorithm and lower bound procedure to solve larger test problems. The algorithm can solve problems of 1000 jobs and four machines within 3s on average. The performance of the algorithm is evaluated using results of the mathematical model.