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
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
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
Scheduling jobs under decreasing linear deterioration
Information Processing Letters
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
Minimizing the makespan on a single machine with learning and unequal release times
Computers and Industrial Engineering
Computers and Operations Research
Computers and Industrial Engineering
Computers and Industrial Engineering
Computers and Industrial Engineering
Two-machine flowshop scheduling with truncated learning to minimize the total completion time
Computers and Industrial Engineering
Mathematical and Computer Modelling: An International Journal
Computers and Operations Research
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In this paper we consider a two-machine flow shop scheduling problem with effects of deterioration and learning. By the effects of deterioration and learning, we mean that the processing time of a job is a function of its execution starting time and its position in a sequence. The objective is to find a sequence that minimizes the total completion time. Optimal solutions are obtained for some special cases. For the general case, several dominance properties and some lower bounds are derived, which are used to speed up the elimination process of a branch-and-bound algorithm. A heuristic algorithm is also proposed, which is shown by computational experiments to perform effectively and efficiently in obtaining near-optimal solutions.