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Published on: September 10, 2018
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A cost analysis method of establishing training criteria
1a Department of Industrial and Systems Engineering , General Motors Institute , Flint , Michigan , 48502 , U.S.A.
Ergonomics
|January 13, 2017
Summary
Establishing effective operator training criteria is challenging. This study introduces a method integrating learning curves, quality assurance, and economic analysis to determine cost-effective training performance levels.
Area of Science:
- Industrial Engineering
- Human Factors Engineering
- Operations Research
Background:
- Designing effective operator training programs requires clear performance criteria.
- Current methods for establishing these criteria are often inadequate.
- This gap impacts training efficiency and program cost-effectiveness.
Purpose of the Study:
- To present a novel method for establishing operator training criteria.
- To integrate learning curve modeling, quality assurance, and economic analysis for training decision-making.
- To provide a quantifiable measure of training program cost-effectiveness.
Main Methods:
- Developed a method combining learning curve modeling, quality assurance principles, and economic analysis.
- Identified information requirements for setting training performance levels.
- Proposed sources for obtaining necessary training decision data.
Main Results:
- The proposed method provides a systematic approach to defining final performance levels for training.
- It enables the integration of technical and economic factors in training design.
- The outcome is a quantifiable assessment of a training program's cost-effectiveness.
Conclusions:
- A robust method for setting training criteria has been established by integrating diverse technical domains.
- This approach addresses a critical gap in operator training program design.
- The method facilitates data-driven decisions for optimizing training investments.
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