Using Statistical Quality Control For Productivity Improvement

- Organization:
- Society for Mining, Metallurgy & Exploration
- Pages:
- 7
- File Size:
- 376 KB
- Publication Date:
- Jan 1, 1993
Abstract
To succeed in today's competitive coal market, coal companies must continuously improve production and lower cost. However, the coal industry's historical management practices must change to remain viable? The practices of the current day efficient coal mine manager are reviewed and examined using W. Edwards Deming's definition of management. The statistical tools, including Pareto Charts, Control Charts and Scatter Diagrams, which identify the problems management must approach differently to increase productivity at a coal mine, are discussed.
Citation
APA:
(1993) Using Statistical Quality Control For Productivity ImprovementMLA: Using Statistical Quality Control For Productivity Improvement. Society for Mining, Metallurgy & Exploration, 1993.