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10.24200/sci.2021.54614.3839

In this paper based on DeJong’s learning effect a novel and modified formulation has been proposed for this effect.

A novel bi-objective model for a job shop scheduling problem with consideration of Fuzzy parameters, modified learning effects and multiple preventive maintenance activities

10.1016/J.EJOR.2021.06.017

Motivated by the practical situations, the sequence-dependent setup time and DeJong’s learning effect are considered in seru scheduling problems, and the objective is to minimize the makespan.

Logic-based Benders decomposition method for the seru scheduling problem with sequence-dependent setup time and DeJong’s learning effect

10.1155/2021/6687525

We investigate parallel-machine scheduling with past-sequence-dependent (p-s-d) delivery times, DeJong’s learning effect, rate-modifying activity, and resource allocation.

Parallel-Machine Scheduling with DeJong’s Learning Effect, Delivery Times, Rate-Modifying Activity, and Resource Allocation

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10.1080/00207543.2021.1902011

We consider parallel-machine scheduling with identical machine resource capacity limits and DeJong’s learning effect.

Parallel-machine scheduling with identical machine resource capacity limits and DeJong’s learning effect

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Dejongs Learning - In this paper based on DeJong’s learning effect a novel and modified formulation has been proposed for this effect. [1] Motivated by the practical situations, the sequence-dependent setup time and DeJong’s learning effect are considered in seru scheduling problems, and the objective is to minimize the makespan. [2] We investigate parallel-machine scheduling with past-sequence-dependent (p-s-d) delivery times, DeJong’s learning effect, rate-modifying activity, and resource allocation. [3] We consider parallel-machine scheduling with identical machine resource capacity limits and DeJong’s learning effect. [4]