A study of job shop standard setup time quota

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• 作者：Haicao Song ; Shuping Yi ; Hongyu Shen
• 关键词：Setup time ; Entropy method ; Fuzzy comprehension evaluation ; Knowledge level ; Knowledge level index
• 刊名：Production Engineering
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：10
• 期：2
• 页码：185-196
• 全文大小：665 KB
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• 作者单位：Haicao Song (1) (2)
  Shuping Yi (1)
  Hongyu Shen (1)
  
  1. College of Mechanical Engineering, Chongqing University, Chongqing, 400044, China
  2. College of Mechanical and Electrical Engineering, Shihezi University, Shihezi, 832000, China
  
• 刊物类别：Engineering
• 刊物主题：Industrial and Production Engineering
  Production and Logistics
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1863-7353

文摘

For the multi-item and small lot size production mode and single machine job shop scheduling sequence independent setup time, many setup times are difficult to estimate accurately, which influences the ability to achieve accurate production cycles and costs of products. The survey shows that the length of the setup time depends on the level of employee’s knowledge. Therefore, a method for determining the standard setup time quota based on the level of employees’ knowledge is proposed. First, an evaluation index system for the level of employee’s knowledge is built; the level of employee’s knowledge is estimated by the masses and experts fuzzy comprehension evaluation and entropy method. Second, the range and definition of the level of employees’ knowledge index are developed. Third, the relational model of the employee’s knowledge level and the level of employees’ knowledge index is constructed through the least squares method. Finally, an example application is presented to verify the feasibility and effectiveness of the proposed model.