Feasibility and implementation of Six-Sigma tools for predictive safety in automotive part manufacturing

Luis Miguel Garcia, University of Texas at El Paso


The purpose of this study is to evaluate a process through the application of safety techniques and methods to identify safety and ergonomic hazards leading to potential occupational disorders or accidents. The application of these techniques and methods will be implementing the Continuous Hazard Tracking and Failure Prediction Methodology (CHTFPM). Once the particular safety conditions which may be becoming hazards (known as dendritics) have been developed this methodology can be used in any industrial scenario. The objective is to implement the methodology for validation purposes in the automotive part manufacturing. The study comprises of process monitoring by using the principles of work sampling and statistical analysis. The sampling is performed to observe the occurrence of dendritics which may become hazards and could result in an accident, system malfunction, or unacceptable risk conditions. The statistical analysis is used to monitor the process using the data collected to find out if the process is ‘out of control’ with respect of the acceptable safety level. It the system is ‘out of control’, investigation for potential conditions becoming hazardous is necessary.

Subject Area

Automotive materials|Industrial engineering|Mechanical engineering

Recommended Citation

Garcia, Luis Miguel, "Feasibility and implementation of Six-Sigma tools for predictive safety in automotive part manufacturing" (2003). ETD Collection for University of Texas, El Paso. AAIEP10358.