Construction Engineering Research Laboratory Introduction to Sustainment Management Systems U.S. Army Corps of Engineers Engineer Research & Development.

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Presentation transcript:

Construction Engineering Research Laboratory Introduction to Sustainment Management Systems U.S. Army Corps of Engineers Engineer Research & Development Center Construction Engineering Research Lab

Construction Engineering Research Laboratory Introduction Provide objective facility investment guidance to: Systematic assessment to identify maintenance requirements for increased reliability Analyze investment timing to optimize return on investment Prioritize scarce resources according to economic and mission priorities Predict the effects/consequences of decisions to ensure mission readiness Assess Determine Asset Investment Requirements Budget Assemble costs for investment requirements Prioritize Invest in requirements that ensure mission readiness and maximize ROI Execute Based upon priorities and availability, fund and execute. Engineered Asset Lifecycle Management Tools

Construction Engineering Research Laboratory THE DESIRED RESULTS Better management of the sustainment, restoration, and modernization of our infrastructure Assessments that are systematic, objective, and efficient Decision information that supports the mission needs of your infrastructure Optimizes the use of scarce resources Informs the consequences of decisions to avoid future shocks Lance Marrano Only gather as much information as is absolutely necessary to make the decision immediately in front of you.

Construction Engineering Research Laboratory SMS Applications SMS Products are also available to the private sector through multiple technology transfer partners. The following additional technology and products are available in various stages of technology readiness: WHARFER, WALKER, GPIPER, WPIPER, & HEATER.

Construction Engineering Research Laboratory Agenda/Outline Introduction History Inventory Assessment Prediction Work Planning Forecasting/Analysis GIS Integration Summary Discussion

Construction Engineering Research Laboratory EMS/SMS Development History 1970s Pavement Condition Indices (PAVER) 1980s Roofing Condition Indices (ROOFER) Rail Condition Indices (RAILER) 1990s Building Condition Indices (BUILDER) Utilities Condition Indices (PIPER, HEATER) 2000s Building Functionality Indices (BUILDER) Mission Focused Facility Investments Shorefront Condition Indices (WHARFER)

Construction Engineering Research Laboratory Agenda/Outline History Inventory Assessment Prediction Work Planning Forecasting/Analysis GIS CMMS Integration Summary Discussion

Construction Engineering Research Laboratory Inventory Identify “building blocks” of facilities that will be independently maintained –City blocks for roads –runways, aprons, and taxiways for airfields –segment of railroad track –Doors, walls, windows, roof, etc. of building Capture just enough detail to accurately reflect replacement values and service lives Road Network Section Component System Building Facility (B20) Exterior Closure (B2010) Walls MasonryMetal PanelCurtain Wall (B2020) Doors (D30) Services (D3020) Heating … Building Hierarchy

Construction Engineering Research Laboratory Inventory Results Inventory models aligned with RPI requirements –RP Site ID –RP UID –(Future) RP Equipment ID Detailed inventory can form basis for Real Property –Quantity –FAC Type –Age –MDI –Etc.

Construction Engineering Research Laboratory Agenda/Outline History Inventory Assessment Prediction Work Planning Forecasting/Analysis GIS CMMS Integration Summary Discussion

Construction Engineering Research Laboratory Assessment Designed to accommodate the different inspection purposes (risk management, condition reporting, work development) Standardized process costs much less than traditional engineering evaluations Models the rating that would be given by a group of experts. Standardization increases consistency and quality of information across organization (apples-to-apples) Cost savings vary by asset class

Construction Engineering Research Laboratory Condition Assessment Preset choices for values and consistent definitions result in standardized, objective scores regardless of inspector

Construction Engineering Research Laboratory Knowledge Based Inspection An asset does not require the same level of scrutiny at all points in its lifecycle. Focus inspection attention and resources on what’s important, considering risk. Tailor the frequency and level of detail to the purpose and lifecycle condition. Inspections are scheduled based on a logical set of business rules, not just by year.

Construction Engineering Research Laboratory Functionality Assessment Modernization inspection addresses issues of: –Capacity (too little or too much) –Configuration –Change in user requirements –Technical obsolescence –Regulatory/code compliance Available at building, space, and component levels Can simulate mission change to determine investment requirements for future occupants

Construction Engineering Research Laboratory Assessment Results Readiness Reporting (Condition, or Quality) Condition for discrete, real-world elements that can be specifically repaired or replaced by SRM investments (traceability and accountability). Cost-effective, objective, repeatable metric that forms the foundation for forecasting, work requirements, budgeting, and prioritization.

Construction Engineering Research Laboratory Agenda/Outline History Inventory Assessment Prediction Work Planning Forecasting/Analysis GIS CMMS Integration Summary Discussion

Construction Engineering Research Laboratory Condition Analysis/Prediction Objective CI metric provides basis for being able to predict condition over time. Several scientific, patent-pending methods generate a projected CI at any time, without the need to perform new assessments each and every year.

Construction Engineering Research Laboratory Condition Analysis/Prediction Results Remaining Service Life Estimates Inspection Schedules Future work requirements

Construction Engineering Research Laboratory Agenda/Outline History Inventory Assessment Prediction Work Planning Forecasting/Analysis GIS CMMS Integration Summary Discussion

Construction Engineering Research Laboratory Work Planning Work is automatically created based upon standards (thresholds) –Depending upon mission requirements, use rules to apply different standards to different assets Cost estimates are automatically calculated based on replacement costs –Repairs are modeled as percentage of replacement value –Repair vs. Replace calculations automatically performed to maximize ROI –Detailed cost estimates are available when assessment performed includes specific distress quantities FCI is automatically calculated based upon work generation rules and supplied funding amounts

Construction Engineering Research Laboratory Work Prioritization Funding resources are always constrained –Need prioritization to rank work requirements Use various parameters including economic, criticality, and geographic factors Focus work efforts on items most critical to mission accomplishment. optimizecompeting requirements User-defined prioritization allows users to optimize multiple competing requirements for scarce funding.

Construction Engineering Research Laboratory Work Planning Results Annual work planning attached to specific assets (accountability and traceability) Work planning prioritized by mission requirements to direct scarce dollars against mission-critical needs (Mission-Focused Facility Investments)

Construction Engineering Research Laboratory Agenda/Outline History Inventory Assessment Prediction Work Planning Forecasting/Analysis GIS CMMS Integration Summary Discussion

Construction Engineering Research Laboratory Forecasting Forecasting is the same process as annual work planning, but repeated for multiple years over known inventory, behavior, policies, and funding. PCI After major M&R Backlog Elimination in 5 years PCI after 5 years Stop-gap budget

Construction Engineering Research Laboratory Forecasting (cont.) Simulate the long-term impact on condition, performance, and estimated backlog Evaluate different scenarios (budgets, policies, prioritization schemes, etc)

Construction Engineering Research Laboratory Forecasting Results COA analysis and budget defense at all levels –OMB, –Congressional, –OSD, –Headquarters, –Command, –Region, and –Installation Out-year strategic condition trends –Will levels meet current or future mission requirements?

Construction Engineering Research Laboratory Agenda/Outline History Inventory Assessment Prediction Work Planning Forecasting/Analysis GIS CMMS Integration Summary Discussion

Construction Engineering Research Laboratory GIS SMS Tools contain integrated or connected GIS solutions to query and display a variety of facility inventory, condition, and work planning information –CI, –RSL, –Work Costs, –and many more

Construction Engineering Research Laboratory SMS CMMS Inventory PM/SC Performed PM Schedule Annual Work Plan RSL Consolidated inventory Plan inspections (KBI) Inspection results Determine condition Analyze condition Update RSL SRM and budget planning, including project development Consequence analysis Inspection Specialized inventory Plan, schedule, and execute PM Inspection needs analysis Schedule inspections Service call history RCM analysis Plan, schedule, and execute specific projects E/S Call CMMS Integration Work Planning and Work Execution have complementary roles Pursuing conceptual integration and data standards with support of OSD

Construction Engineering Research Laboratory Agenda/Outline History –Founded in Science Inventory –Systematic Process to breakdown inventory to right management level(s) Assessment –Objective, repeatable process to the right level of detail Prediction –Scientific self-adjusting modeling capability to forecast (models that learn) Work Planning –Systematic rational process to decide what work to do with mission and lifecycle optimization Forecasting/Analysis –Consequence awareness of decisions based upon financial and mission policies GIS –Quickly comprehend the situation through visualization CMMS Integration –Work Planning and Work Execution are complementary roles

Construction Engineering Research Laboratory THE RESULTS Better management of the sustainment, restoration, and modernization of our infrastructure Systematic, objective, efficient assessment of sustainment requirements Mission ready infrastructure Prioritized use of scarce resources Avoidance of future shocks Realistic, defensible budget projections Avoidance of long-term penalties Awareness of the consequences of today’s decisions Lance Marrano Gather the right data at the right time at the right level for when you need the information.

Construction Engineering Research Laboratory QUESTIONS? Summary Discussion