Title: Improved heuristic algorithm for modern industrial production scheduling

Authors: Yongqing Jiang; Fucheng Pan

Addresses: College of Mechanical Engineering, Chongqing University, Chongqing, 100049, China ' Shenyang Institute of Automation, Chinese Academy of Sciences Shenyang, Nanta Street 114#, Shenyang, 110016, China

Abstract: Scheduling is one of the core links of modern industrial production. Scheduling needs to be designed according to the characteristics of the production line. In order to optimise the problem of workshop scheduling, the service-oriented programming idea and advanced technology to optimise the system development of mixed flow shop are adopted. The system is designed for applications in a distributed network environment. In this paper, an improved heuristic industrial production scheduling method is proposed to solve the scheduling system problem with multiple scheduling tasks, multiple processes, multiple stations, multiple constraints and rules. This method specifies the processing equipment, start time and completion time for each process of the production task. The application method shows that the proposed method can improve the automation and intelligence level of the scheduling process, improve the utilisation rate of equipment and other production resources, and give full play to the enterprise production capacity.

Keywords: production management; modern industrial; heuristic; scheduling.

DOI: 10.1504/IJMIC.2018.095835

International Journal of Modelling, Identification and Control, 2018 Vol.30 No.4, pp.284 - 292

Received: 29 Sep 2017
Accepted: 22 Nov 2017
Published online: 23 Oct 2018 *

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