Abstract
In order to improve the flexible production capacity of the IGBT power unit of wind power converters, the researches on the flexible production plan of this type of product and its flow operation scheduling method have carried out. First of all, according to the principle of the same production process and the same production process, a general production process model suitable for multiple models of power units was established, the time consumption of each process of different products was measured, and the virtual workstation in the general production process was defined. As well as the process distribution at different workstations, a flexible production line layout plan for the assembly of this type of product was designed. Then, take the production task of producing three types of IGBT power units in a certain batch as an example. According to the production quantity of each power unit, the task list of the production batch is established, and the assembly line of the production batch is established with the shortest construction period as the goal. Scheduling issues. Finally, the Palmer heuristic algorithm is used to solve the production task, and the optimal production sequence is determined by calculating the slope index distribution of each model product, and the optimal solution for the minimum duration of the production order is obtained. The results show that the research method in this paper has certain reference value for guiding the design of production schemes for flexible production and rapid delivery of electronic equipment with multiple varieties and small batches.
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Fan, Z., Zhu, D., **, Q., Shang, X. (2022). Research on Flow Operation Scheduling for Flexible Production of IGBT Power Module Assemble. In: Duan, B., Umeda, K., Kim, Cw. (eds) Proceedings of the Eighth Asia International Symposium on Mechatronics. Lecture Notes in Electrical Engineering, vol 885. Springer, Singapore. https://doi.org/10.1007/978-981-19-1309-9_115
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DOI: https://doi.org/10.1007/978-981-19-1309-9_115
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Publisher Name: Springer, Singapore
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Online ISBN: 978-981-19-1309-9
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