Real-Time Hybrid Flow Shop Scheduling Approach in Smart Manufacturing Environment
作者机构：Department of Logisticsthe School of Mechanical EngineeringUniversity of Science and Technology BeijingBeijing 100083China Kent Business SchoolUniversity of KentKentCT27FSUK.
出 版 物：《Complex System Modeling and Simulation》 (复杂系统建模与仿真（英文）)
年 卷 期：2021年第1卷第4期
页 面：335-350页
学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）]
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)
主 题：smart manufacturing real-time scheduling hybrid flow shop scheduling problem gene expression programming
摘 要：Smart manufacturing in the“Industry 4.0strategy promotes the deep integration of manufacturing and information technologies,which makes the manufacturing system a ubiquitous ***,the real-time scheduling of such a manufacturing system is a challenge faced by many decision *** 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 ***,a real-time scheduling approach for the HFSP is *** 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 *** 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 *** 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 ***,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.
维普期刊数据库