Rapid Production Rescheduling for Flow Shop Under Machine Failure Disturbance Using Hybrid Perturbation Population Genetic Algorithm-Artificial Neural Networks (PPGA-ANNs)

Rapid Production Rescheduling for Flow Shop Under Machine Failure Disturbance Using Hybrid Perturbation Population Genetic Algorithm-Artificial Neural Networks (PPGA-ANNs)

Rescheduling is essential in real-world production to adjust schedules when significant disturbances render existing ones non-optimal. Manufacturers are often required to reschedule production tasks as quickly as possible. This paper proposes a rapid production rescheduling framework for flow shop u...

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Bibliographic Details
Main Authors: Pakkaporn Saophan, Warut Pannakkong, Raveekiat Singhaphandu, Van-Nam Huynh
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Artificial neural network
flow shop production
genetic algorithm
machine failure
production rescheduling
Online Access:https://ieeexplore.ieee.org/document/10179223/

Internet

https://ieeexplore.ieee.org/document/10179223/

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