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A study of job shop standard setup time quota

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Abstract

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.

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Acknowledgments

Chongqing University and Shihezi University have provided the writers with the resources to conduct the research reported in this manuscript, with support from the Chong Qing key project of Science and Technology (No. cstc2012 gg-yyjs0319) and the Science and Technology R & D program of Shihezi University (No. 2014ZRKXYQ06).

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Authors and Affiliations

  1. College of Mechanical Engineering, Chongqing University, Chongqing, 400044, China

    Haicao Song, Shuping Yi & Hongyu Shen

  2. College of Mechanical and Electrical Engineering, Shihezi University, Shihezi, 832000, China

    Haicao Song

Authors
  1. Haicao Song
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  2. Shuping Yi
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  3. Hongyu Shen
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Corresponding author

Correspondence to Shuping Yi.

Appendix

Appendix

See Table 13.

Table 13 Observations value of sub-item setup time of jobs on cold heading process (min)
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Song, H., Yi, S. & Shen, H. A study of job shop standard setup time quota. Prod. Eng. Res. Devel. 10, 185–196 (2016). https://doi.org/10.1007/s11740-015-0649-0

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  • DOI: https://doi.org/10.1007/s11740-015-0649-0

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