Solving Flexible Job Shop Scheduling Problem in Cloud Manufacturing Environment Based on Improved Genetic Algorithm. (October 2019)

• Record Type: Journal Article
• Authors: Li, Yunlong; Luo, Guofu
• Is Part Of: IOP conference series. Volume 612:issue 4(2019)
• Publication Date: 2019-10
• Subjects: Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/612/4/042065
• Languages: English
• ISSNs: 1757-8981

Abstract

Abstract: In this paper, aiming at the new characteristics of flexible job shop scheduling in cloud manufacturing environment, this paper studies the residual capacity utilization of cloud manufacturing enterprises, considers the idle time of equipment, studies the workshop scheduling method with idle time, and constructs the scheduling framework of cloud manufacturing operation workshop. The production tasks accepted on the platform are carried out together with the tasks assigned by the workshop itself, with the goal of minimum penalty total cost, and the improved genetic algorithm is used to solve the optimal scheduling sequence of the workpiece. The validity of the proposed method is verified by using the benchmark example.