Optimization of Multi-Stage Production Scheduling of Automated Production

Abstract

With the continuous growth of the automation level, the production process is featured by multiple stages and process parameters. There is a huge sum of diverse data on automated production. With a low value density, these data come from heterogenous sources, and respond to lots of concurrent processing demands. It is necessary to simulate and optimize the production scheduling of the automated production system. Drawing on the existing research, this paper illustrates the process of multi-stage production scheduling of automated production, and simulates the automated production line on Plant Simulation. The flow of the simulation model was illustrated, the simulation objectives were specified, and the model hypotheses were detailed. From the angle of deterministic simulation modelling, a joint optimization model was established for the multi-stage production scheduling of automated production, and the production task assignment was improved for traditional pull scheduling model to meet the demand of dynamic collaborative demand for machines. The proposed model was proved effective through simulations.

Simultaneous Use of Digital Technologies and Industrial Robots in Manufacturing Firms

“…The existing literature has focused mainly on robotization at the industrial level, research focused on the enterprise level, and complementarity analysis is limited to evaluating firms' overall digitalization levels [20]. How digital technologies relate to robots is unknown [21]. The integration of robots and IoT leads to the concept of the Internet of Robotic Things, in which the innovation of digital systems opens new opportunities in both industry and research, especially from the manufacturing perspective [22].…”