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Assessing Quality of Asphalt Paving Jobs to Determine
Contractor Pay
Assessing Quality of Asphalt Paving Jobs to Determine
Contractor Pay
Robin C. WurlJames R. Lundy
2003 Quality & Productivity Research Conference
22
Contractors Employed for Asphalt Paving Jobs in Oregon
Contractors Employed for Asphalt Paving Jobs in Oregon
• Job price established prior to commencing
• At job completion, quality of pavement assessed– If pavement quality exceeds expectations
• Contractor receives pay bonus
– If pavement quality below expectations• Contractor is given a pay penalty
33
Bonus or Penalty is Determined by a Pay Factor
Bonus or Penalty is Determined by a Pay Factor
• Pay Factor
– Index between 0.75 and 1.05
– Multiplied by original job price to determine final payout figure
• Final Payout = (Job Price) x (Pay Factor)
44
Pay Factor is a Function of the Expected Quality Level
Pay Factor is a Function of the Expected Quality Level
Quality Level Unacceptable:Tear out and replace
0.75
Expected Quality Level Attained
Expected Quality Level Exceeded
1.00
1.05
Pay FactorPay Factor
0.80
0.85
0.90
0.95
55
Goal: Map Job Quality to a Pay Factor
Goal: Map Job Quality to a Pay Factor
• Statistically quantify quality of pavement job
• Map statistical quality measure of job to pay factor
Statistical Quality Level of Job
Statistical Quality Level of Job
Job Pay Factor
Job Pay Factor
66
Nature of Pavement MixesNature of Pavement Mixes
• Multiple Quality Characteristics (QCs)– X1, X2, …, Xp
• Target values for QCs may change during job• Process adjustments in beginning of production• Changes in raw materials during production
• QCs not all equally important
77
The Measure of Quality is Based on Loss Function
The Measure of Quality is Based on Loss Function
• Consider univariate case: X – mix quality characteristicT – target of quality characteristic
• Quadratic Loss Function:
• Expected Loss:
2L X T
2E L E X T V X
88
Quality MeasuresQuality Measures
2E X T
Measure of Deviation from
Target
Measure of Deviation from
Target
Measure of Variability
Measure of Variability
V X
99
Multiple QCs and Target Changes During Job
Multiple QCs and Target Changes During Job
i j kX
ith observation within jth target change within
kth QC
ith observation within jth target change within
kth QC
jth target change within kth QC
jth target change within kth QC
kth QCkth QC
1010
Quality Measures are Estimated for Each QC and Target
Quality Measures are Estimated for Each QC and Target
• Estimate deviation from target
with
• Estimate variability
with
2
ijk jkE X T
22jk jk jkX T
ijkV X
2jkS
1111
Quality Measures are Averaged Over Target Changes
Quality Measures are Averaged Over Target Changes
• Use number of observations per target in weighted average of quality measures
2 2
1
1 km
k jk jkjk
nN
Nk – total # of obs. for kth QC
njk – # of obs. for jth target change in kth QC
mk – # of target changes in kth target
2 2
1
1 km
k jk jkjk
S n SN
1212
Individual Quality Measures are Mapped to “Pay Factor” ValuesIndividual Quality Measures are Mapped to “Pay Factor” Values
• Specific point values of quality measures mapped to “equitable” pay factor– Mappings determined from expertise about process– Straight units (not squared) for quality measures
Pay Factor
Specific Point Values of Quality Measures
1.05 1 05.k 1 05.kS
1.00 1 00.k 1 00.kS
0.75 0 75.k 0 75.kS
1313
Linear Interpolation is Used Create Continuous Mapping Function
Linear Interpolation is Used Create Continuous Mapping Function
0.7
0.75
0.8
0.85
0.9
0.95
1
1.05
1.1
0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7
Deviation from Target
Pay
Fac
tor
1.05k 1 00.k 0 75.k
kF
1414
Account for Unequal Importance of QCs
Account for Unequal Importance of QCs
• Assign weights to QCs to account for different relative importance
• wk - relative importance weight of QC
1
1p
kk
w
1515
Intermediate “Pay Factor” Values Computed for Quality Measures
Intermediate “Pay Factor” Values Computed for Quality Measures
• Deviation from target:
• Variability:
1k
p
kk
F w F
1k
p
S k Sk
F w F
1616
Intermediate “Pay Factor” Value Computed for a Specific QC
Intermediate “Pay Factor” Value Computed for a Specific QC
• For kth QC:
k kk k SF w F F
1717
Pay Factor for the Overall Job is Computed
Pay Factor for the Overall Job is Computed
• Overall:
1
1 p
kk
F Fp
1818
Example Asphalt Paving JobExample Asphalt Paving Job
• X1 Air voids in pavement mix (%)• Target: T1 = 4% and changes to 4.3%
• Relative importance: w1 = 0.4
• X2 In-place density of pavement (%)• Target: T2 = 93%
• Relative importance: w2 = 0.6
1919
Quality Measures Computed within Each Target
Quality Measures Computed within Each Target
Observation Xijk Target Tjk
Air Voids (%) Density (%) Air Voids (%) Density (%)
1 3.9 91.0 4.0 93
2 3.6 92.2 4.0 93
3 3.4 91.6 4.0 93
4 3.3 92.1 4.0 93
5 3.2 92.9 4.0 93
6 5.5 92.6 4.3 93
7 4.9 93.1 4.3 93
8 5.5 4.3
9 5.8 4.3
2211 3 48 4 0 27. .
11 3 48.X
211 0 08.S
2221 5 43 4 3 1 27. . .
21 5 43.X
221 0 14.S
2020
Quality Measures Averaged Over Target Changes
Quality Measures Averaged Over Target Changes
Weighted Averages
Air Voids (%) Density (%)
0.71 0.61
0.11 0.54
22S
21 5 0 27 4 1 27 9 0 71 . . .
21 5 0 08 4 0 14 9 0 11S . . .
Number of observations for target 1
Number of observations for target 1
Number of Observations for target 2
Number of Observations for target 2
2121
Deviation from Target for Air Voids Mapped to Individual “Pay Factor”Deviation from Target for Air Voids Mapped to Individual “Pay Factor”
Air Voids (%)
0.70
0.75
0.80
0.85
0.90
0.95
1.00
1.05
1.10
0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7
Pa
y F
ac
tor
Deviation from Target 1
1F
1
21 0 71 0 84 0 95F . . .
2222
Air Voids (%) Density (%)
Quality Measure Pay Factor Quality Measure Pay Factor
0.95 1.01 0.99
1.05 1.01 1.03
0.80 1.21 1.01
Quality Measures Mapped to Pay Factor Values
Quality Measures Mapped to Pay Factor Values
2 0 79 .1 0 84 .
1 0 33S . 2 0 74S .
Intermediate Pay Factorfor Deviation from Target:
Intermediate Pay Factorfor Deviation from Target:
1 21 2
0 4 0 95 0 6 1 01
0 99
F w F w F
. . . .
.
Overall Pay FactorOverall Pay Factor
0 80 1 21 2 1 01F . . .