Journal of Appliance Science & Technology ›› 2023, Vol. 0 ›› Issue (zk): 403-408.doi: 10.19784/j.cnki.issn1672-0172.2023.99.091

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Research on the optimal efficiency model of multiple varieties based on value stream

WANG Xiaoming1, ZHANG Yin1, GUAN Jiangyong2,3, YAN Wei3, WANG Feng3, LIU Fang1   

  1. 1. Qingdao Haier New Energy Electrical Appliances Co., Ltd. Qingdao 266400;
    2. State key laboratory of digital household appliances Qingdao 266100;
    3. Qingdao Economic and Technological Development Zone Haier water heater Co., Ltd. Qingdao 266101
  • Online:2023-12-12 Published:2023-12-26

Abstract: In view of the current problems of discrete manufacturing enterprises, such as multiple product categories, unstable order scheduling, more work in process and poor team atmosphere, the paper creatively proposes the use of value stream, dynamic programming, and efficiency to study and solve the problem. Firstly, divide the product family and draw a current value stream map to analyze the current problems of insufficient production scheduling, poor efficiency atmosphere, and low production capacity and long working hours. Led by lean efficiency improvement and applying the principle of value mobility, propose the parallel improvement of overall value stream and process value stream, and summarize the three main routes of efficiency change: process line, creating efficiency league competition, category line, low efficiency model battle, and team line, teams cross order to achieve balanced production. At the same time, from the direction of dynamic staffing in slack and peak seasons, weekly full load production scheduling, etc., dynamic programming is used to obtain the optimal standard working hours, and multi-dimensional efficiency mode is improved to enable multi variety discrete manufacturing enterprises to improve efficiency, and finally achieve the goal of optimal operating costs. Field implementation shows that the three routes of efficiency based on value stream and dynamic programming play an important role in solving discrete problems, and provide an important basis for improving the efficiency of discrete manufacturing.

Key words: Value stream mapping, Prior operations, Efficiency competition, Dynamic programming, Balanced production

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