ITERATIVE METHOD, SYSTEM, AND USER INTERFACE FOR ANALYSIS, PATTERN DETECTION, PREDICTIVE MODELING, AND CONTINUOUS IMPROVEMENT OF QUALITY, HEALTH, SAFETY, AND ENVIRONMENTAL (QHSE) OPERATIONS

摘要

Disclosed is an iterative method, system, and user interface for analysis, pattern detection, and predictive modeling of quality, health, safety, and environmental (QHSE) from multiple, disparate sources. This iterative method, system, and user interface makes use of user generated qualitative and quantitative data from multiple quality, health, safety, and environmental sources. Sources include; monitoring systems, witness accounts, benchmarks, and other measurement apparatuses from single or multiple geographic locations. Data is acquired, categorized, aggregated, formatted, and isolated through pre-analysis algorithms. The isolated data of significance is then analyzed through an iterative methodology of user selected algorithms. The results go through a series of post-analysis testing to determine the effectiveness of the analysis. Once the post-analysis testing is completed, it is entered into a continuous improvement matrix to determine methodologies and solutions to improve upon existing QHSE processes. These results are processed through integrated or stand-alone computer modules and output to a user interface. The user interface provides the user options for selecting, isolating, and formatting combinations of algorithms and data analysis techniques to detect underlying patterns and predictive models in current QHSE processes and to provide innovative, dynamic, and predictive continuous improvement models for improving QHSE processes.