Clemson University TigerPrints All Dissertations Dissertations 12-2009 HUMAN ERROR IN MINING: A MULTIVARIABLE ANALYSIS OF MINING ACCIDENTS/INCIDENTS IN QUEENSLAND, AUSTRALIA AND THE UNITED STATES OF AMERICA USING THE HUMAN FACTORS ANALYSIS AND CLASSIFICATION SYSTEM FRAMEWORK Jessica Patterson Clemson University,
[email protected] Follow this and additional works at: https://tigerprints.clemson.edu/all_dissertations Part of the Industrial Engineering Commons Recommended Citation Patterson, Jessica, "HUMAN ERROR IN MINING: A MULTIVARIABLE ANALYSIS OF MINING ACCIDENTS/INCIDENTS IN QUEENSLAND, AUSTRALIA AND THE UNITED STATES OF AMERICA USING THE HUMAN FACTORS ANALYSIS AND CLASSIFICATION SYSTEM FRAMEWORK" (2009). All Dissertations. 464. https://tigerprints.clemson.edu/all_dissertations/464 This Dissertation is brought to you for free and open access by the Dissertations at TigerPrints. It has been accepted for inclusion in All Dissertations by an authorized administrator of TigerPrints. For more information, please contact
[email protected]. HUMAN ERROR IN MINING: A MULTIVARIABLE ANALYSIS OF MINING ACCIDENTS/INCIDENTS IN QUEENSLAND, AUSTRALIA AND THE UNITED STATES OF AMERICA USING THE HUMAN FACTORS ANALYSIS AND CLASSIFICATION SYSTEM FRAMEWORK A Dissertation Presented to the Graduate School of Clemson University In Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy Industrial Engineering by Jessica Marrie Patterson December 2009 Accepted by: Dr. Scott Shappell, Committee Chair Dr. Anand K. Gramopadhye Dr. Douglas Wiegmann Dr. Sandra K. Garrett ABSTRACT Historically, mining has been viewed as an inherently high-risk industry. Nevertheless, the introduction of new technology and a heightened concern for safety has yielded marked reductions in accident and injury rates over the last several decades. In an effort to further reduce these rates, the human factors associated with incidents/accidents need to be addressed.