2.Agenda
Safety Moment
Context
Implementation Session Panelists
Paul Woldy (Chevron)
Financial Analyses (Owners and Contractors)
Stephen Mulva (CII)
Value of Best Practices
Jesus M. de la Garza (Virginia Tech)
Safety Data Trends / Findings
Kirk Morrow (S&B Engineers and Constructors LTD)
Regional (Gulf Coast) Productivity Findings
Q&A
3.Financial Analyses(Owners and Contractors)
Paul Woldy
Chevron
4.Dow Jones Industrial Average vs. CII Owner/Contractor Cohort Index(Normalized to FY2000)
5.Owner Project & Financial Performance
6.Cash Flow/Capital Expenditure
Data courtesy of UT McCombs School of Business
7.Economic Value Added/Cash Flow
Data courtesy of UT McCombs School of Business
8.Contractor Project & Financial Performance
9.CII BMM Contractor Cohort Project Performance
Data source: CII Benchmarking & Metrics Program
10.New Contracts
Data source: Engineering News Record (ENR)
11.Economic Value AddedFY/New ContractsFY-1
Data source: UT McCombs School of Business / ENR
12.Value of Best Practices
Stephen Mulva
CII
13.Best Practices
Survey of 306 CII Projects (2007-2009)
Corporate and Project Levels
Benchmarking
Context: 5 Principles of Project Integration
Work and Work Process
Organizational Engineering
Leadership and Governance
Communication and Information Flow
Culture and Environment
Point of Departure
14.Reporting Practice Use Data
Zero Accidents Techniques
15.Use of Best Practices
Begins with strong leadership; ends with improved performance.
Corporate Strategy
Project Level Use of Best Practices (Tactic)
Project Performance (Bottom Line)
Front End Planning
Zero Accidents Techniques
Constructability
Cost
Schedule
Safety
Quality
Change
Leadership
Improvement culture
Funding
Incentive
Dedicated team
16.16
Culture
A relationship exists between culture and best practice use
17.17
Project
Response Rate
18.Percent of Projects with High Best Practice Use
Project
Response Rate
19.Impact of Planning Best Practice Use on Cost Performance: Owners
Front End Planning
Alignment for FEP
Planning for Start-up
=standard error of mean
20.Impact of Execution Best Practice Use on Cost Performance: Contractors
Constructability
Project Risk Assessment
Change Management
=standard error of mean
21.Owners Use of Front End Planning
=standard error of mean
22.Owners Use of Partnering
=standard error of mean
23.Owners Use of Change Management
=standard error of mean
24.Owners Use of Planning for Startup
=standard error of mean
25.Contractors Use of Constructability
=standard error of mean
26.Contractors Use of Planning for Startup
=standard error of mean
27.CII Performance Assessment System (PAS) Data Miner
28.Safety Data Trends and Findings
Jesus M. de la Garza
Virginia Tech
29.Data Envelopment Analysis
A Non-Parametric Performance Measurement Evaluation Technique
Inputs
Outputs
1/RIR
1/DART
Zero Accident Techniques
Best Practice Implementation Score
Efficiency =
Outputs
Inputs
Decision Making Unit = a project
30.Calculating the Best Practice Implementation Score (BPIS)
∑ 108 points
31.Calculating the Best Practice Implementation Score (BPIS)
If data are available for all 13 elements
Normalize to a maximum of 108 points
BPIS= (∑ points scored/108)*10
If data are missing for up to 4 elements
Ignore missing elements and their weights
Re-normalize to include only actual data
BPIS= (∑ points scored/???)*10
32.Selecting Homogeneous Projects
221 Projects from CII Database
47 Homogeneous Projects
Location: Only included lower 48 states
Character: Brownfield removed
Typical: Non-typical projects removed
Survey Completeness: Projects with missing data removed
Missing BPIS Fields: ≥ 5 “I Don’t Know” removed
Type: Only included Light & Heavy Industrial
36.1/RIR vs. Normalized BPIS
A
A’
BPIS= 7.74; 1/RIR = 2.02; Eff = 0.55
BPIS= 7.74; 1/RIR = 3.67; Eff = 1.00
DEA Estimated Efficient Frontier
True Efficient Frontier = 1/0 = ∞
37.1/DART vs. Normalized BPIS
38.Issues and Next Steps
DEA can handle multiple inputs and multiple outputs
(l) Best Practice Implementation Score; (O) 1/RIR & 1/DART
We need to study other ways to recalculate the Best Practice Implementation Score when data elements are missing
We can generate other homogeneous datasets by adjusting the filters
e.g., Light Industrial vs. Heavy Industrial
We can apply “Meta Frontier” techniques to compare the performance across multiple homogenous datasets
We can extend this type of DEA analyses to other Best Practices
39.Data Envelopment Analysis
A Non-Parametric Performance Measurement Evaluation Technique
Inputs
Outputs
1/RIR
1/DART
Zero Accident Techniques
Best Practice Implementation Score
Efficiency =
Outputs
Inputs
DMU = a project
40.How do we use this Toolkit?
Remember:
Efficient projects are those with RIR = 0
Leave nothing to chance, typically with High BPIS
By pure luck, typically with Low BPIS
A Benchmarking Toolkit
Determine the relative Safety efficiency of a project
Given a BPIS, determine the Safety experience a project should expect
Compare a project against “peer” projects
41.Construction Productivity: A First Look at Regional Analysis and Reporting
Kirk Morrow
S&B Engineers and Constructors, LTD
42.CII BM&M Construction Productivity Definition
Appropriate Level of Detail
Only Direct Work-Hours
Common Definitions for Direct/Indirect Accounts
Raw Productivity =
Actual Direct Construction Wk-hrs
Quantity Installed
43.CII BMM Construction Productivity Database
124 U.S. projects with construction productivity data
Not every project answers each metric
44.CII BMM Construction Productivity Database
45.CII BMM Construction Productivity Database
46.Construction Productivity: Gulf Coast vs. Other Locations
Only the productivity difference between gulf coast and other U.S. locations;
Not enough data to examine other factors concurrently.