Reengineering of Analytical Data Management for the Environmental Restoration Project at Los Alamos National Laboratory.

Scherma, S. ; Dorries, A. ; Nasser, K.

Technical Information Center Oak Ridge Tennessee

关键词: LANL;    Project management;    Radioactive waste management;    Communications;    Contamination;   

RP-ID  :  DE2004826374

学科分类：工程和技术（综合）

美国|英语

来源: National Technical Reports Library

【 摘 要 】

The Environmental Restoration (ER) Project at Los Alamos National Laboratory (LANL) is responsible for the characterization, clean up, and monitoring of over 2,124 identified potential release sites (PRS). These PRSs have resulted from operations associated with weapons and energy related research which has been conducted at LANL since 1942. To accomplish mission goals, the ER Project conducts field sampling to determine possible types and levels of chemical contamination as well as their geographic extent. Last fiscal year, approximately 4000 samples were collected during ER Project field sampling campaigns. In the past, activities associated with field sampling such as sample campaign planning, paperwork, shipping and analytical laboratory tracking; verification and order fulfillment; validation and data quality assurance were performed by multiple groups working with a variety of software applications, databases and hard copy reports. This resulted in significant management and communication difficulties, data delivery delays, and inconsistent processes; it also represented a potential threat to overall data integrity. Creation of an organization, software applications and a data process that could provide for cost-effective management of the activities and data mentioned above became a management priority, resulting in a development of a reengineering task. This reengineering effort--currently nearing completion--has resulted in personnel reorganization, the development of a centralized data repository, and a powerful web-based sample management system that allows for an appreciably streamlined and more efficient data process. These changes have collectively cut data delivery times, allowed for larger volumes of samples and data to be handled with fewer personnel, and resulted in significant cost savings. This paper will provide a case study of the reengineering effort undertaken by the ER Project of its analytical data management process. It includes descriptions of strategic planning, personnel reorganization, process reengineering, software development, data repository development, and web development.