statistical analysis of kpis: the missing link in the vdc decision-making process

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Copyright 2013 CIFE TAC 2013 cal Analysis of KPIs: the Missing Link in the VDC Decision-making Process Statistical Analysis of KPIs: the Missing Link in the VDC Decision-making Process Calvin Kam (PI) - Civil and Environmental Engineering Martin Fischer (PI) - Civil and Environmental Engineering Sadri Khalessi (PI) - Statistics Devini Senaratna (RA) - Statistics

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Statistical Analysis of KPIs: the Missing Link in the VDC Decision-making Process. Calvin Kam (PI) - Civil and Environmental Engineering Martin Fischer (PI)- Civil and Environmental Engineering Sadri Khalessi (PI)- Statistics Devini Senaratna (RA)- Statistics. - PowerPoint PPT Presentation

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Copyright 2013

CIFE TAC 2013

Statistical Analysis of KPIs: the Missing Link in the VDC Decision-making Process

Statistical Analysis of KPIs: the Missing Link in the VDC Decision-making Process

Calvin Kam (PI) - Civil and Environmental EngineeringMartin Fischer (PI) - Civil and Environmental EngineeringSadri Khalessi (PI) - StatisticsDevini Senaratna (RA) - Statistics

Copyright 2013

CIFE TAC 2013

Statistical Analysis of KPIs: the Missing Link in the VDC Decision-making Process

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A set of statistical models for innovative:benchmarking,

prediction of performance and adoption, decision-prioritization and

in Virtual Design and Construction projects

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CIFE TAC 2013

Statistical Analysis of KPIs: the Missing Link in the VDC Decision-making Process

Problem Statement

Why?

Copyright 2013

CIFE TAC 2013

Statistical Analysis of KPIs: the Missing Link in the VDC Decision-making Process

“What Gets Measured, Gets Done” –Peter Drucker

What do AEC firms need to “Get Done” using VDC?

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Minimal waste in the process

Shorter total duration

Tight synchronization between design & fabrication

Last responsible moment benefit from VDC

More alternatives evaluated earlier

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CIFE TAC 2013

Statistical Analysis of KPIs: the Missing Link in the VDC Decision-making Process

Ref: McGraw and Hill (2012):The Business Value of BIM

AEC may not see the value in KPIs for VDC

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Ref: Kam, McKinney, Xiao & Senaratna (2013): The Formulation and Validation of the VDC Scorecard

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CIFE TAC 2013

Statistical Analysis of KPIs: the Missing Link in the VDC Decision-making Process

Apparel industries: 80%VDC in AEC: 40%

AEC firms monitor KPIs for VDC less than other industries

Ref: Esin, et al. (2009) Are KPIs and Benchmarking actively used

among organizations of the Swiss apparel industry to assure revenue?

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Ref: Kam, McKinney, Xiao & Senaratna (2013): The Formulation and Validation of the VDC

Scorecard

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CIFE TAC 2013

Statistical Analysis of KPIs: the Missing Link in the VDC Decision-making Process

What information do AEC firms want from the KPIs?

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CIFE TAC 2013

Statistical Analysis of KPIs: the Missing Link in the VDC Decision-making Process

Frequency ofIntegrated

Meetings (Monthly)

Extent ofStakeholder Involvement(% of Stakeholder involved in VDC)

AEC project teams want to know where they stand relative to other AEC project teams

Where do we stand relative to other projects?

One data-driven benchmark that combines KPIs?

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Copyright 2013

CIFE TAC 2013

Statistical Analysis of KPIs: the Missing Link in the VDC Decision-making Process

Frequency ofIntegrated Meetings

Extent ofStakeholder Involvement

AEC project teams want to quantify and understand interdependencies among KPIs for VDC

How much more involved would the

stakeholders be?

How much more frequently would the stakeholders attend

the integrated meetings

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Copyright 2013

CIFE TAC 2013

Statistical Analysis of KPIs: the Missing Link in the VDC Decision-making Process

Our on-going research using the VDC Scorecard Tool

Ref: Kam, McKinney, Xiao & Senaratna (2013)

A survey based benchmarking tool

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108 cases and counting50+ indicators13 countries11 types of facilities

• More cases for statistical modeling• Adding information to existing cases• Data-driven benchmarks• Data-driven prioritization of KPIs

What more do

we need?

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CIFE TAC 2013

Statistical Analysis of KPIs: the Missing Link in the VDC Decision-making Process

10 Divisions

VDC Scorecard

Planning Adoption PerformanceTechnology

4 Areas

Objective Organization QualityQuantityIntegrationPreparation MaturityStandard CoverageProcess

Documentation StakeholdersReduced Design Errors

StakeholderSurvey

CommunicationBudget DepthGuidelineLevel ofDetail

Project

Metric TrainingReduced

LaborPost

Occupancy S.

Interoper-ability

Tool BreadthBenchmarkModel Use

Life Cycle

BroaderContext

Etc.

50+ Measures

Etc.Etc.Etc.

1 Score

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VDC Scorecard measures many types of KPIs

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CIFE TAC 2013

Statistical Analysis of KPIs: the Missing Link in the VDC Decision-making Process

Decisions based on anecdotal learning’s only won't be as strong as making decisions that are

also supported by statistically established insights

Breadth

Involvement

Model UseLife Cycle

Depth

Reduced Design Errors

Stakeholdersatisfaction

ReducedLabor

Safety

Stakeholders

Project

Meetings

Benchmark

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1542 MeasureCombinations

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CIFE TAC 2013

Statistical Analysis of KPIs: the Missing Link in the VDC Decision-making Process

Raw Data (KPIs)

“What gets measured, gets done “How can AEC firms benefit

from this advantage ?

Information= Statistical analysis of KPIs +

VDC expert opinion

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Copyright 2013

CIFE TAC 2013

Statistical Analysis of KPIs: the Missing Link in the VDC Decision-making Process

What we propose

What?

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CIFE TAC 2013

Statistical Analysis of KPIs: the Missing Link in the VDC Decision-making Process

Ref: neural.cs.nthu.edu.tw

We will benchmark with a variant of Principal Component Analysis (PCA)

Few Features 16

Many KPIsFew KPIs for

benchmarkingand ranking

Many Features

Picks up the most important signals

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CIFE TAC 2013

Statistical Analysis of KPIs: the Missing Link in the VDC Decision-making Process

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Clustering to find features about “projects like mine”

Features of projects that are similar to mine

Features of projects that are different to mine

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CIFE TAC 2013

Statistical Analysis of KPIs: the Missing Link in the VDC Decision-making Process

Clustering groups of projects with similar KPIs together

Used in Recommendation EnginesMethods: K-means, Hierarchical, Two-Step Clustering

Projects with similar features will

group together

Feature Combination Score 1

Feat

ure

Com

bina

tion

Scor

e 2

Numerical statistical measures built using a

collection of KPIs

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CIFE TAC 2013

Statistical Analysis of KPIs: the Missing Link in the VDC Decision-making Process

Observation for Cluster Groups 1 and 3:

Per

form

ance A

do

ptio

n

Common Drawbacks :1. Interoperability problems

2. Inconsistent Level of Detail for model uses

3. Only native formats used for model exchange

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GOOD Technological Coverage but

POOR Technological Integration

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CIFE TAC 2013

Statistical Analysis of KPIs: the Missing Link in the VDC Decision-making Process

Statistical predictive models to identify interdependencies

Factor Analysis

Structural Equation Modeling

Classification Trees

Canonical Correlations

Correspondence Analysis

For Predictionand

Prioritization

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Copyright 2013

CIFE TAC 2013

Statistical Analysis of KPIs: the Missing Link in the VDC Decision-making Process

Structural Equation Modeling will model interdependencies

Ref: Lee, Kleinman, (2003): Statistical choices and apparent work outcomes in auditing

Example of a Structural

Equation model for Job Dis-Satisfaction

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Copyright 2013

CIFE TAC 2013

Statistical Analysis of KPIs: the Missing Link in the VDC Decision-making Process

How are we going to do it?How?

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CIFE TAC 2013

Statistical Analysis of KPIs: the Missing Link in the VDC Decision-making Process

Timetable

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Addition of KPIs to Scorecard

Testing of statistical methods on sample data

Surveying108 cases (Online – Web survey)

Data cleaning and cross checking

Organizing the data for analysis

Descriptive Analysis and assumption checks

Statistical model based on SEM, FA, CHAID

Test data

Using expert opinions

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CIFE TAC 2013

Statistical Analysis of KPIs: the Missing Link in the VDC Decision-making Process

Dissemination of Findings

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Two Industry Workshops (Kam, Khalessi, Fischer)• November CIFE workshop• February CIFE workshop

Contributions towards:• Statistical KPI wiki for AEC• CIFE members (AEC firms)• National BIM Standards and McGraw Hill Smart Market

Report

Publications New findings to be posted on vdcscorecard.stanford.eduJournal paper publication

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CIFE TAC 2013

Statistical Analysis of KPIs: the Missing Link in the VDC Decision-making Process

The data-flow process of the proposed study

AEC Professionals

VDC Scorecard

Model Analyses KPIs and their Correlations

Prioritized, Customized

feedback based on KPIs

0 50 100 150

02

46

812

Rolling Window

1:180C

umm

ulat

ive

Ret

urn

0 50 100 150

04

812

Expanding Window

1:181

Cum

mul

ativ

e R

etur

n

Statistical Model

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Statistical Analysis of KPIs: the Missing Link in the VDC Decision-making Process

Goals

Long Term Goal: Automation of this process for faster decision-making;and to make decision-making more consistent across

an organization

Short Term Goal: Statistical analysis of KPIs for VDC decision-making

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Copyright 2013

CIFE TAC 2013

Statistical Analysis of KPIs: the Missing Link in the VDC Decision-making Process

References

• Abeysekera, S. (2006) Multivariate methods for index construction• Alarcón, L., Mourgues, C., O’Ryan, C., and Fischer, M. (2010) Designing a

Benchmarking Platform to select VDC/BIM Implementation Strategies• Bloom, N. and Van Reenen, J. (2006) Measuring and explaining management

practices across firms and countries• Bloom, N. and Van Reenen, J. (2007) Why do management practices differ across

firms and countries?• Esin, C., Von Bergen, M., and Wüthrich, R. (2009) Are KPIs and Benchmarking

actively used among organisations of the Swiss apparel industry to assure revenue? • Kam, C., McKinney, B., Xiao, Y., Senaratna, D. (2013) • Kam, C., Xiao, Y., McKinney, B., Senaratna, D. (2013) • McGraw and Hill (2012) The Business Value of BIM.• Lee, Kleinman, (2003): Statistical choices and apparent work outcomes in auditing• Li, W., Fischer, M., Schwegler, B., Bloom, N., Van Reenen, J. (2012)• Zevenbergen, J., Gerry, J., and Buckbee, G., (2006) Automation KPIs Critical for

Improvement of Enterprise KPIs.

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Copyright 2013

CIFE TAC 2013

Statistical Analysis of KPIs: the Missing Link in the VDC Decision-making Process

Don't you want to find out about which VDC practices will give

you the best results?

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Copyright 2013

CIFE TAC 2013

Statistical Analysis of KPIs: the Missing Link in the VDC Decision-making Process

Thank You!

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