A note on single-machine group scheduling problems with position-based learning effect
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Hybrid Pareto artificial bee colony algorithm for multi-objective single machine group scheduling problem with sequence-dependent setup times and learning effects
Group scheduling is significant for efficient and cost effective production system. However, there exist setup times between the groups, which require to decrease it by sequencing groups in an efficient way. Current research is focused on a sequence dependent group scheduling pro
Note on “A note on single-machine group scheduling problems with position-based learning effect”
Single-Machine Group Scheduling Problems with Deterioration to Minimize the Sum of Completion Times
We consider two single-machine group scheduling problems with deteriorating group setup and job processing times. That is, the job processing times and group setup times are linearly increasing or decreasing functions of their starting times. Jobs in each group have the same dete
Single-machine group scheduling problems with deterioration consideration
In many realistic situations, a job processed later consumes more time than the same job when it is processed earlier; this phenomenon is known as deteriorating jobs. However, job deterioration is relatively unexplored in the context of group technology. In this paper, we conside
Hybrid Pareto artificial bee colony algorithm for multi-objective single machine group scheduling problem with sequence-dependent setup times and learning effects
Single Machine Group Scheduling with Position Dependent Processing Times and Ready Times