Using Statistical Quality Control For Productivity Improvement

Society for Mining, Metallurgy & Exploration
J. E. Feddock
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: J. E. Feddock  (1993)  Using Statistical Quality Control For Productivity Improvement

MLA: J. E. Feddock Using Statistical Quality Control For Productivity Improvement. Society for Mining, Metallurgy & Exploration, 1993.

Export
Purchase this Article for $25.00

Create a Guest account to purchase this file
- or -
Log in to your existing Guest account