Smart manufacturing in the“Industry 4.0”strategy promotes the deep integration of manufacturing and information technologies,which makes the manufacturing system a ubiquitous environment.However,the real-time schedu...Smart manufacturing in the“Industry 4.0”strategy promotes the deep integration of manufacturing and information technologies,which makes the manufacturing system a ubiquitous environment.However,the real-time scheduling of such a manufacturing system is a challenge faced by many decision makers.To deal with this challenge,this study focuses on the real-time hybrid flow shop scheduling problem(HFSP).First,the characteristic of the hybrid flow shop in a smart manufacturing environment is analyzed,and its scheduling problem is described.Second,a real-time scheduling approach for the HFSP is proposed.The core module is to employ gene expression programming to construct a new and efficient scheduling rule according to the real-time status in the hybrid flow shop.With the scheduling rule,the priorities of the waiting job are calculated,and the job with the highest priority will be scheduled at this decision time point.A group of experiments are performed to prove the performance of the proposed approach.The numerical experiments show that the real-time scheduling approach outperforms other single-scheduling rules and the back-propagation neural network method in optimizing most objectives for different size instances.Therefore,the contribution of this study is the proposal of a real-time scheduling approach,which is an effective approach for real-time hybrid flow shop scheduling in a smart manufacturing environment.展开更多
Numerous maintenance strategies have been proposed in the literature related to reliability.This paper focuses on the utilization of reliability importance measures to optimize maintenance strategies.We analyze mainte...Numerous maintenance strategies have been proposed in the literature related to reliability.This paper focuses on the utilization of reliability importance measures to optimize maintenance strategies.We analyze maintenance strategies based on importance measures and identify areas lacking sufficient research.The paper presents principles and formulas for advanced importance measures within the context of optimizing maintenance strategies.Additionally,it classifies methods of maintenance strategy optimization according to importance measures and outlines the roles of these measures in various maintenance strategies.Finally,it discusses potential challenges that optimization of maintenance strategies based on importance measures may encounter with future technologies.展开更多
基金This paper was supported partly by the National Natural Science Foundation of China(No.52175449)partly by the National Key R&D Plan of China(No.2020YFB1712902).
文摘Smart manufacturing in the“Industry 4.0”strategy promotes the deep integration of manufacturing and information technologies,which makes the manufacturing system a ubiquitous environment.However,the real-time scheduling of such a manufacturing system is a challenge faced by many decision makers.To deal with this challenge,this study focuses on the real-time hybrid flow shop scheduling problem(HFSP).First,the characteristic of the hybrid flow shop in a smart manufacturing environment is analyzed,and its scheduling problem is described.Second,a real-time scheduling approach for the HFSP is proposed.The core module is to employ gene expression programming to construct a new and efficient scheduling rule according to the real-time status in the hybrid flow shop.With the scheduling rule,the priorities of the waiting job are calculated,and the job with the highest priority will be scheduled at this decision time point.A group of experiments are performed to prove the performance of the proposed approach.The numerical experiments show that the real-time scheduling approach outperforms other single-scheduling rules and the back-propagation neural network method in optimizing most objectives for different size instances.Therefore,the contribution of this study is the proposal of a real-time scheduling approach,which is an effective approach for real-time hybrid flow shop scheduling in a smart manufacturing environment.
基金supported by the National Natural Science Foundation of China(Grant No.72071182).
文摘Numerous maintenance strategies have been proposed in the literature related to reliability.This paper focuses on the utilization of reliability importance measures to optimize maintenance strategies.We analyze maintenance strategies based on importance measures and identify areas lacking sufficient research.The paper presents principles and formulas for advanced importance measures within the context of optimizing maintenance strategies.Additionally,it classifies methods of maintenance strategy optimization according to importance measures and outlines the roles of these measures in various maintenance strategies.Finally,it discusses potential challenges that optimization of maintenance strategies based on importance measures may encounter with future technologies.
