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首页> 外文学位 >A lean system for operator training and skill management with genetic algorithm based allocation for a complex manufacturing environment.
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A lean system for operator training and skill management with genetic algorithm based allocation for a complex manufacturing environment.

机译：一种用于操作员培训和技能管理的精益系统，具有基于遗传算法的复杂制造环境分配。

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摘要

For any successful organization, efficient resource management is critical. The performance of employees has a significant impact on the quality of the final product, and also on the efficiency and effectiveness of the manufacturing line. To improve the performance of the employees, training is one of the most common methodologies used. Traditional classroom training is the most used method. However, it would be much less efficient when the number of employees is large. Without real-time tracking of training completion as well as performance strategic decisions such as operator allocation are cumbersome. Therefore, a modern information system for operator skills administration is required.;This thesis proposes an integrated system for operator skill management in a high-end server manufacturing environment. This system includes three functions: on-demand training, automated certifications management, and real-time performance tracking. Moreover, the system can generate a performance based allocation of operators to task to fulfill a given demand.
机译：对于任何成功的组织，有效的资源管理都是至关重要的。员工的绩效对最终产品的质量以及生产线的效率和效力都有重要影响。为了提高员工的绩效，培训是最常用的方法之一。传统的课堂培训是最常用的方法。但是，当员工人数很多时，效率将大大降低。如果没有实时跟踪培训的完成情况以及绩效策略决策（例如操作员分配），就会很麻烦。因此，需要一种用于操作员技能管理的现代信息系统。本文提出了一种在高端服务器制造环境中用于操作员技能管理的集成系统。该系统包括三个功能：按需培训，自动证书管理和实时性能跟踪。而且，系统可以生成基于性能的操作员分配给任务的任务，以满足给定的需求。

著录项

  • 作者

    Koster Abad, Eduardo Mauricio.;

  • 作者单位

    State University of New York at Binghamton.;

  • 授予单位 State University of New York at Binghamton.;
  • 学科 Engineering Industrial.
  • 学位 M.S.
  • 年度 2008
  • 页码 124 p.
  • 总页数 124
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 一般工业技术;
  • 关键词

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