Improving Quality in residential projects using KEY CHARACTERISTICS - - PDF document

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Improving Quality in residential projects using KEY CHARACTERISTICS - - PDF document

1/23/2012 Improving Quality in residential projects using KEY CHARACTERISTICS (KCs) Lessons learned from the Manufacturing Industry Andrea Caicedo University of Houston Fall 2011 AGENDA: Problem Statement Background Goals


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Improving Quality in residential projects using

KEY CHARACTERISTICS (KCs)

Lessons learned from the Manufacturing Industry

Andrea Caicedo University of Houston Fall 2011

AGENDA:

  • Problem Statement
  • Background
  • Goals
  • Methodology
  • Case Study
  • Conclusions
  • Q & A
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PROBLEM STATEMENT:

  • Improve construction quality
  • Deviations: 5-10% of total cost (Sun, 1994)
  • Planning & Design: 78% (Burati, 1992)
  • Nature of residential construction
  • Need more efficient systematic

method for delivering quality: Prioritizeefforts & resources Integration

MOTIVATION:

  • Residential Construction
  • Manufacturing Industry
  • Key Characteristics (KC):

Successfully applied since 1980’s

(Thornton, 1996)

Wide range of products Benefits

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BACKGROUND :

  • Current Practice
  • Previous studies

GOALS:

  • Understand KC methodology
  • Analyze applicability to residential

construction through a case study

  • Facilitate quality improvement
  • Provide basis for future work
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METHODOLOGY:

  • Define Key Characteristics

methodology

  • Apply KC methodology to case study

in residential projects

  • Conduct statistical analysis of change
  • rders
  • Analyze results
  • Identify improvement areas

KEY CHARACTERISTICS:

A Key Characteristic (KC) is:

  • A feature of a building or building

component, assembly or process whose variation has an unacceptable impact on cost, performance or safety of the final product

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KEY CHARACTERISTICS:

*BASED ON HISTORICAL DATA: REASON FOR FAILURE. (HANA, 1999)*

KEY CHARACTERISTICS: STEPS:

THEORETICAL FRAMEWORK

Identification

Critical System Requirements List CSR

Identify requirements & specs.

System KC Flow down

Documentation

Implementation

Monitoring & Mitigation

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  • Analyze change order data from

residential projects of similar characteristics

  • Apply KC methodology :
  • Prioritize Key quality improvement

areas

  • Promote integration between design

and construction

KC -CASE STUDY GOALS:

  • Change order: “changes that are

generated by unanticipated sources”

  • Quality: “conformance to established

requirements” = Customer Satisfaction Changes are quality problems Improve quality by reducing change

  • rders

KC -CASE STUDY:

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DATA COLLECTION PROCESS

KC -CASE STUDY:

  • Change order data received on total of 7 projects, after

further review 4 projects were considered for this case study

KC -CASE STUDY:

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KC -CASE STUDY:

LEVEL 2:

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0% 1% 2% 3% 4% 5% 6% 7%

CONTRIBUTION DEGREE

PLANNING & DESIGN CHANGE DECISION MAKING UNKNOWN SITE CONDITIONS CHANGE CODES/REGULATIONS SAFETY CD: CONTRIBUTION DEGREE INDEX MEASURES THE DEGREE OF CONTRIBUTION OF A GIVEN CAUSE IN THE PROJECT COST

KC -CASE STUDY

LEVEL 2:

KC –STEPS:

Identification

CSR

Identify requirements & specs.

CDR: CRITICAL SYSTEM REQUIREMENTS

LEVEL 3:

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KC –STEPS:

Identification

SYSTEM KC

RANKING

RANK 1: FREQUENCY ONLY RANK 2: FREQUENCY & MEAN COST RANK 3: STANDARD DEVIATION & MEAN COST

LEVEL 4:

KC –STEPS:

Identification

SYSTEM KC

RANKING

LEVEL 4:

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KC –STEPS:

Identification

FLOWDOWN

SYSTEM KC ASSEMBLY KC PART KC PROCESS KC ASSEMBLY KC PART KC PART KC

WHAT CONTRIBUTES TO SYSTEM KC VARIATION?

LEVEL 5:

KC –STEPS:

Identification

FLOWDOWN

WHAT CONTRIBUTES TO SYSTEM KC VARIATION?

LEVEL 5:

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CONCLUSIONS KC METHODOLOGY: CONCLUSIONS:

  • Systematic method
  • Prioritize
  • Resources allocated properly
  • Time is potentially reduced
  • Focus on key areas that will improve overall product
  • Supports integration:
  • Identifies areas that need to be discussed
  • Overwhelming amounts of data can be reduced to key

elements

  • Integrates Design and Construction
  • Encourages dialog
  • Project as a whole (big pictures)
  • Results were shared with collaborating firms
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CONCLUSIONS:

  • Limitations
  • Data collection
  • Need for more data
  • Benefits of collecting data (unknown)
  • Residential Construction:
  • Teams are smaller
  • Communication is simplified
  • Future Studies
  • Applied to other type of projects
  • Implementation and monitoring
  • Applied as support of other methods

THANK YOU

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SUPPORTING SLIDES: SUPPORTING SLIDES:

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SUPPORTING SLIDES:

50000 100000 150000 200000 250000 300000 5 10 15 20 25 30 FRAMING 50000 100000 150000 200000 250000 300000 1 2 3 4 5 6 7 8 9 FINISH CARPENTRY

SUPPORTING SLIDES:

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SUPPORTING SLIDES:

100 200 300 400 500 600 700 800 900

RANK 2 COST INDEX

0.00 0.20 0.40 0.60 0.80 1.00 1.20

RANK 3 RISK INDEX

RANK 3 RISK INDEX

SUPPORTING SLIDES:

EXISTING METHODS

Six Sigma Overlooks systematic methods for identifying best

  • pportunities for

improvement Use of KC can improve effectiveness

  • f program

Lean Construction Similar philosophy of achieving goals. Higher quality, lower cost, shorter time. Shares philosophy, however, some improving

  • pportunities are

better than others TQM Focused on

  • rganization

improvement. Broader goals, broader definition of quality Systematic and detailed quality improvement

  • pportunities