Overview of a Developing Data System and Future Data Call Needs PowerPoint PPT Presentation

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Title: Overview of a Developing Data System and Future Data Call Needs


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

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

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 QAs 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
  • Butwhat 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 Universitys 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
(No Transcript)
10
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

11
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),
    lt10nCi/g alpha (1)
  • Physical waste description debris (01)
  • Treatment incineration (02)
  • Disposal site Envirocare (02)
  • Shipment mode truck (t)

12
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

13
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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