A neuro-fuzzy model for a new hybrid integrated Process Planning and Scheduling system

作者：

Highlights：

• Generating efficient production plans as the production constraints change.

• A new hybrid heuristic model combining both GA and Fuzzy Neural Network.

• Improving GA performance by using a clustered chromosome structure.

• Fuzzy neural networks in re-planning module is able to produce accurate predictions.

• Process plans and schedules are generated separately(no need to reorganize factory).

摘要

•Generating efficient production plans as the production constraints change.•A new hybrid heuristic model combining both GA and Fuzzy Neural Network.•Improving GA performance by using a clustered chromosome structure.•Fuzzy neural networks in re-planning module is able to produce accurate predictions.•Process plans and schedules are generated separately(no need to reorganize factory).

论文关键词：Process Planning,Genetic Algorithm,Scheduling,Fuzzy Neural Network

论文评审过程：Available online 6 April 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.03.043