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Productivity, cost and quality control (Part II)
Summary
A straightforward computerized program enables customized data analysis for management, identifying employee training needs and excessive equipment repair costs exceeding 10% of unit value.
Area of Science:
- Computer Science
- Management Science
Background:
- Effective management relies on data-driven insights.
- Identifying performance issues in maintenance and service is crucial for operational efficiency.
Purpose of the Study:
- To demonstrate a computerized system for generating specific data cuts for management purposes.
- To establish self-comparative standards for performance evaluation.
Main Methods:
- Development of a computerized program for data analysis.
- Implementation of customizable data segmentation for management needs.
Main Results:
- The system can identify employees needing training in specific equipment maintenance or service categories.
- The system flags excessive equipment repair costs, exceeding a benchmark of 10% annualized service cost per unit.
Conclusions:
- Computerized data analysis offers a flexible and effective tool for identifying performance issues.
- Proactive identification of training needs and repair cost anomalies can lead to improved operational efficiency and cost savings.