Application of Six Sigma Methods for Improving the Analytical Data Management Process in the Environmental Industry

Abstract

AbstractHoneywell applied the rigorous and well‐documented Six Sigma quality‐improvement approach to the complex, highly heterogeneous, and mission‐critical process of remedial site environmental data management to achieve a sea change in terms of data quality, environmental risk reduction, and overall process cost reduction. The primary focus was to apply both qualitative and quantitative Six Sigma methods to improve electronic management of analytical laboratory data generated for environmental remediation and long‐term monitoring programs. The process includes electronic data delivery, data QA/QC checking, data verification, data validation, database administration, regulatory agency reporting and linkage to spatial information, and real‐time geographical information systems. Results of the analysis identified that automated, centralized web‐based software tools delivered through Software as a Service (SaaS) model are optimal to improve the process resulting in cost reductions, while simultaneously improving data quality and long‐term data usability and perseverance. A pilot project was completed that quantified cycle time and cost improvements of 50% and 65%, respectively.