Environmental Data Flow Six Sigma Process Improvement Savings Overview
公司规模
1,000+
地区
- America
国家
- United States
产品
- Cloud Computing
- Google Maps
- Automatic Electronic Validation
技术栈
- Cloud Computing
- Data Validation
- Google Maps Integration
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 分析与建模 - 过程分析
- 基础设施即服务 (IaaS) - 云计算
适用行业
- 国家安全与国防
服务
- 云规划/设计/实施服务
- 数据科学服务
关于客户
The customer in this case study is the Los Alamos National Laboratory (LANL), a multidisciplinary research institution engaged in strategic science on behalf of national security. LANL enhances national security by ensuring the safety and reliability of the U.S. nuclear stockpile, developing technologies to reduce threats from weapons of mass destruction, and solving problems related to energy, environment, infrastructure, health, and global security concerns.
挑战
The Environmental Data Flow Six Sigma improvement project was initiated in September 2009, driven by a cost-benefit analysis on data validation conducted earlier that year. The project aimed to improve LANL’s environmental data processing following receipt from the analytical laboratories. The project identified thirty-three process improvements, broken into seven subgroups. However, six of the improvements were never implemented, and two of the seven improvement subgroups did not lead to any cost savings but did lead to more accurate sample planning and increased transparency into the system.
解决方案
The solution involved implementing a series of process improvements. These included implementing cloud computing, restructuring the data stewards’ jobs, eliminating redundant data reviews, implementing change control on the system, incorporating google maps, implementing automatic electronic validation (auto-validation) of the analytical data, and mapping the data process. The implementation of cloud-based computing was associated with sixteen individual improvements. The improvements reduced the time to deliver data to clients to 1 day (98% decrease) with an uncertainty of 1 day.
运营影响
数量效益
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