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Overview of a Developing Data System and Future Data Call Needs

Overview of a Developing Data System and Future Data Call Needs. Douglas Tonkay Office of Commercial Disposition Options June 22, 2005. Site Roadmaps/ 5-Year Plans Baseline EM Reports FFCAct Implementation Paths-to-Closure EM Integration Top-to-Bottom Review

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Overview of a Developing Data System and Future Data Call Needs

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  1. Overview of a Developing Data System and Future Data Call Needs Douglas Tonkay Office of Commercial Disposition Options June 22, 2005

  2. Site Roadmaps/ 5-Year Plans Baseline EM Reports FFCAct Implementation Paths-to-Closure EM Integration Top-to-Bottom Review Project Baselines Business Strategy 1990 EM planning has evolved Today

  3. Several reasons we need corporate waste data • Business strategy and analyses • Facilitating baseline and alternate options • GFS/I requirements • Informed decisions • Disposition graphics • Waste program planning (complex-wide) • DOE Order 435.1 requirements • Transportation planning

  4. More reasons we need corporate waste data • Dialogue with stakeholders • Congressional Q&As and GAO requests • International reporting • US National Report - Joint Convention on the Safety of Spent Fuel Management and on the Safety of Radioactive Waste Management • Net-Enabled Waste Management Data Base • Central Internet data base – settlement agreement

  5. What data exists? • Site baseline and contract documents • Ideally, volumes and schedules in project management systems • But……what is really out there? • Site treatment plans (MLLW subset) • EM Corporate Project Team Report • Budget documents and “gold chart” • Corporate performance metric “LLW and MLLW disposed” • Not a complete picture

  6. What data exists? (Continued) • Disposal site data • Hanford Solid Waste EIS and RODs • Annual disposal forecasts at NTS and Hanford • Ad hoc data calls, e.g., to support RODs and litigation • Stream disposition data (SDD) ca 2000-2001 • Does not reflect current site baselines • Populates “Central Internet Database” • Florida International University’s Waste Information Management System (WIMS) • Last year from Oak Ridge and Savannah River

  7. What went wrong with the last corporate waste data effort? • “One shoe-sized to fit all” • Many data requirements • Data suppliers often not project managers • Extensive work for “stop lights”/risk scores • Rollup of waste stream data to a level not useful by the site project managers • Streams split between budget accounts (PBSs)

  8. What went well? • Disposition maps and flow diagrams - liked by stakeholders • Inventory and lifecycle waste forecast • Reconciled disconnects between shipping and receiving sites • Consistent format and approach • Electronic data transfer • Used for program decisions (WM PEIS)

  9. What are we thinking about? • Efficiently collect needed LLW/MLLW information to support business strategy and ongoing systems analysis • Place minimal burden on projects • Utilize existing corporate systems or processes to the extent possible • Direct correlation with site baselines • Configuration control – organize around a “Waste Breakdown Structure”

  10. WBS numbering • Unique MLLW and LLW stream id • Example: 02012111010202t • Generator program = EM (02) • Generator site = Oak Ridge (01 • Waste Class = MLLW (2), not GTCC (1), CH (1), <10nCi/g alpha (1) • Physical waste description = debris (01) • Treatment = incineration (02) • Disposal site = Envirocare (02) • Shipment mode = truck (t)

  11. Result is a smaller data set • Descriptive information provided largely through unique WBS identifier • Starting inventory and life-cycle waste volume projection • Some additional data with capability to add comment or .pdf files as backup • Waste Streams and TSDs limited detail

  12. Options for data collection • Waste Information Management System as proposed by FIU • State-of-the art graphics and web technology • Existing system with flexible features • Ease of use and access • New IPABS “Waste Baseline Module” with options for web-based access and/or electronic file transfer input • Build under corporate IT standards and requirements • Corporate visibility and acceptance • Capability for multiple and archived data sets • Hybrid of the above options

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