Affiliation:
1. School of Automobile and Transportation, Henan Polytechnic, Zhengzhou 450046, China
2. School of Mechanical & Electrical Engineering, Henan University of Technology, Zhengzhou 450001, China
Abstract
The visualization of workshop information can affect production management and efficiency. Information can be presented both graphically and non-graphically (for example, in the form of data lists or tables). Graphical representations are intuitive and clear, but currently, most of them are based on statistical data, which makes it difficult to convey logical linkages between information and cannot help managers make decisions effectively. With the aim of designing the workshop production system with visual processes in small-sized enterprises, the key visualization technologies of the process flow chart, including the visual design of process flow chart, process card management, process flow chart release, process control, and production schedule monitoring, were all addressed in detail. On this basis, the mechanical manufacturing workshop production management system was created using C#.NET as the programming language. The main contribution of the research is that the system designed used the process flow chart as the main line through all functional modules and integrated all process data on the process nodes of the process flow chart to realize the graphical monitoring of workshop production schedule. The visualization technology of the process flow chart makes the system simple to use and easy to understand, which significantly improves information management and work efficiency in the workshop. Additionally, it provides the technical foundation for flow-driven production information transfer in the workshop and can serve as a universal standard for the process module in workshop production management systems.
Funder
National Natural Science Foundation of China
Science and Technology Project of Henan Province in China
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Reference36 articles.
1. Literature review on using data mining in production planning and scheduling within the context of cyber physical systems;Seeger;J. Ind. Inf. Integr.,2022
2. Ramadan, M., Salah, B., Othman, M., and Ayubali, A.A. (2020). Industry 4.0-based real-time scheduling and dispatching in lean manufacturing systems. Sustainability, 12.
3. Design and management of manufacturing systems for production quality;Colledani;CIRP Ann. Manuf. Technol.,2014
4. Methodology for the evaluation of forecast reliability of production planning systems;Schuh;Procedia CIRP,2014
5. Designing workshop management system supporting decision making with OODB;Yaman;Procedia Technol.,2012