BUILDER An Overview Presentation SAME Central Virginia Post, Fort Lee, VA March 14, 2013 Calvin D. Gilley, PE, CFM, LEED AP Principal, Cardno TEC Inc.
Presentation Outline > Asset Management? > Assessment Systems > CA Software > SMS / EMS > Inventory > Ratings > Remaining Service Life > CI vs. FCI > BUILDER Evolution > Lessons Learned > The Way Ahead
Asset Management? Air Force > Planning > Real Property > Facilities > Natural Environment > NEPA Coast Guard > Facilities (FE) > Shore Infrastructure Logistics Navy > Base Development > Real Property Marine Corps > Master Planning > Real Property > Facilities (Public Works)
Assessment Systems > Traditional Facility Condition Assessment Deficiency Based NAVFAC MO 322 Annual Inspection Summary (AIS) Fill Job Jar Five Year Maintenance Action Plan One Year Maintenance Execution Plan > Sustainment Management Systems (SMS) > Other systems Parametric (Whitestone/MARS) Economic
CA Software > Traditional Facility Condition Assessment VFA Facility (VFA) AMS (ISES) > Sustainment Management Systems (SMS) BUILDER (ERDC-CERL) VERTEX (MACTEC/AMEC) Comet (Parsons) TECfms TM (Cardno TEC Inc.) > Other Systems Parametric/Economic Whitestone MARS
SMS / EMS What is a Sustainment Management System? A lifecycle engineering method which incorporates observational data collected using a structured language and disciplined inspection procedures to determine asset condition.
What is BUILDER? The BUILDER Sustainment Management System (SMS) is a web-based software application developed by ERDC s Construction Engineering Research Laboratory (CERL) to help civil engineers, technicians, and managers decide when, where, and how to best maintain building infrastructure. The process starts with the automated download of real property data, and then more detailed system inventory is modeled and/or collected which identifies components and their key life-cycle attributes such as the age and material. From this inventory, Condition Index (CI) measures for each component are predicted based on its expected stage in the life-cycle. Objective and repeatable inspections can then be performed on various components to verify their condition with respect to the expected life-cycle deterioration. The level of detail and frequency of these inspections are not fixed like other processes; they are dependent on knowledge of component criticality, the expected and measured condition and rate of deterioration, and remaining maintenance and service life. This Knowledge-based inspection focuses attention to the most critical components at the time.
Inventory 2 Levels of Inventory: > Asset Level Individual facilities present in the portfolio, and key attribute information about each > Component Level individual components which make up systems in a facility. The building blocks of a functioning facility. Key attribute information is also collected about each component. ASTM E1557 Uniformat II
Inventory Level 1 Level 2 Level 3 Level 4 UNIFORMAT II ASTM E1557 Level 1 B Shell Level 2 B-30 Roofing Level 3 B3010 Roof Coverings Level 4 B301004 Flashings & Trim D Services D20 Plumbing D2010 Plumbing Fixtures D2010006 Water Fountains
Inventory
Ratings Distress > 23 Predetermined types Plus ROOFER specific types > Attributed to sub-components > Severity/density modifiers > Provide deduct value > Not actionable
Ratings - Direct > 9 Types > Measure correlates directly to the distress survey CI scale > Less effort than a distress survey > Less objective approach > Quick record of condition > Not actionable
Ratings - Deficiency > Problem statement > Corrective action > Correction cost > Priority attribute > Generate work > Actionable
Remaining Service Life
BUILDER SMS Knowledge Based Inspection (KBI) 1 1 KBI framework and procedure as developed by CERL is protected under US Patent # US 7,058,544 B2 The goal is NOT to just fill the job jar, but maximize inspection value, economically.
CI vs. FCI Condition Index (CI) Metric > Provides an objective measure of the physical condition of an asset based on a 0-100 point scale from a standardized distress-based, not deficiency-based, inspection process. Condition Index Descriptor 100-85 Good Slight or no serviceability or reliability reduction 85-70 Satisfactory Serviceability or reliability is degraded but adequate. 70-55 Fair Serviceability or reliability is noticeably degraded 55-40 Poor Significant serviceability or reliability loss. 40-25 Very Poor Unsatisfactory serviceability or reliability reduction 25-10 Serious Extreme serviceability or reliability reduction 10-0 Failed Overall degradation is total.
CI vs. FCI Facility Condition Index (FCI) Metric $ Deficiencies $ Plant Replacement Value (PRV) FCI Metric USCG / USN / USMC ORGANIZATION IFMA / NACUBO / APPA ARCHITECT OF THE CAPITAL Excellent < 0.02 Good < 0.05 < 0.05 0.02-0.05 Fair 0.05-0.10 0.05-0.10 0.05-0.10 Marginal 0.10-0.15 Poor > 0.15 > 0.10 > 0.10
BUILDER Output and Benefits > Long and Short Range Work Action Plans > Ability to Set Prioritization Criteria and Budget Constraints > Ability to Run Simulations Based on Current M&R Decisions > Lower Cost of Inspection Program by Targeting Projected System Failures > Reduced Penalty Costs (Making Decisions at the Right Time) Allow More Work Accomplishment With the Same Budget > System/Component Ratings by Building or Installation
BUILDER Output Sample Report
Army BUILDER Evolution 2012 IMCOM Pilot Project > Fort Hood, TX 127 Facilities/3,200,000 SF > Fort Campbell, KY 105 Facilities/2,600,000 SF
Navy BUILDER Evolution 2007 POM 10 VERTEX TM Model > 28,727 Facilities/320,000,000 SF 2008 VERTEX Baseline Assessments 2009 BUILDER Selected for Enterprise Life Cycle Analysis and Long Range Work Planning Tool 2009 Maximo Redirection BUILDER Linkup 2009 2011 BUILDER Implementation > Comet Data Collection > VERTEX TM Conversion > CIMU Conversion > BUILDER Upload 3/14/2013
USCG BUILDER Evolution 2003-2005 MLCPAC Assessments > TECfms TM > 7+ Million SF, 10 CONUS/OCONUS Bases 2005 2011 District Experiments > VERTEX TM > VFA Facility > BUILDER > Traditional FCAs 2007 Maximo Roll Out (SAMS) 2009 2010 TEC ARMR PoC and Implementation 2010 2011 CG Information Management Strategy 2011 2012 CG Housing re-set, PoC USCG IM Strategy 3/14/2013
USMC BUILDER Evolution BUILDER v2.2 (2005-2007) MCB Lejeune BUILDER v3.0 I - III (9/2007-10/2011) MCB Hawaii MCRD San Diego MCAS Miramar MCLB Barstow MCB Twenty-nine Palms MCB Lejeune BUILDER v3.0 IV - Japan (10/2011 9/2012) Marine Bases Japan/Okinawa BUILDER v3.0 V (2013+) Refresh? TOTAL SF = +/- 90 Million MCAS Pendleton MCB/MCAF Quantico MCLB Albany MCAS Cherry Point MCAS New River MCRD Parris Island MCB Camp Pendleton Refresh MCLB Barstow 3/14/2013
USAF BUILDER Evolution 2009 AF Nuclear Program > 7+ Million SF, 10 CONUS/OCONUS Bases 2010 PACAF Sustainability Assessments > Comet > Energy Audit (ASHRAE Level II) > Space Optimization 2011/2012 AF SIA I and SIA II > 6-8 Contract Packages > Approximately 10 Million SF each > BUILDER > Energy Audit (ASHRAE Level II) > Space Optimization > High Performance Building Audits 3/14/2013
Lessons Learned Public Works Staff Should Understand > The difference between CI and FCI > That BUILDER does not generate projects There must be validation before going to PWS, DD1391 or Service Call. > That BUILDER operates using distresses and direct ratings. It does not find deficiencies. > The difference between CI and Functionality.
Lessons Learned Before Assessment > Calibrate the Staff > Calibration = Data Consistency > Data consistency allows comparison of identical information between bases > Data Consistency = Reliable Data > Reliable Data = Happy HQ
Lessons Learned During Assessments > Coordinate Daily/Weekly Assessments Triple Check > Proper inventory is key Know Uniformat II (ASTM E 1557) Inventory Drives Forecasting > Data management and chain of custody are critical > Photos invaluable and of immediate benefit to PWD > QC is CRITICAL > Data QC is as important as field QC
Lessons Learned
Lessons Learned Program Sustainment > Adjust PW Business Processes Standardized Template Flexibility for PW Operational Differences Standardized Reports > Training for PW personnel is a must Data half life Return on Investment > Help Desk Special Reports > Access via NMCI Remains a Challenge
The Way Ahead > Selective Data Validation > Data Maintenance / Update > Intelligent assessments Save assessment dollars with targeted assessments based on estimated RSL or CI versus assessing entire inventory every 3-5 years > Integration w/usmcmax Observing/learning from USN experience Observing/learning from USCG SAMS and IMS Strategy > Integration w/usaf NEXGEN IT Observing/learning from SIA I Observing/learning from Navy/USMC BUILDER Implementation
Questions/ Discussion Contact: Calvin D. Gilley, PE, CFM, LEED AP Principal Or Raymond K. Best, PE, LEED AP Principal 2496 Old Ivy Road, Suite 300 Charlottesville, VA 22903 calvin.gilley@cardnotec.com ray.best@cardnotec.com www.cardnotec.com (434) 295-4446