PM 585 Week 3 Estimating Duration and Cost Example

Reviewed by Davina Cresswell, MBA · University of Phoenix · Updated

This PM 585 Week 3 example estimates how long a large repetitive project will take and what it will cost, combining parametric, bottom-up and three-point methods and adjusting for learning and for the well-documented tendency of public projects to be underestimated. University of Phoenix PM 585 covers duration and cost estimating in Week 3, and PM/585 expects MBA students to lay out their inputs, explain their ranges and connect estimates to the reserves a sponsor will approve. The case continues with Allegheny Ridge's first two seasons of pipe replacement. The paper builds a cost model by line type, estimates crew productivity with a learning curve, works a three-point range for a typical block, rolls estimates up through the WBS from Week 2, sets contingency and reserve and tests the total against outcomes on comparable programs.

CoursePM 585 Project Scheduling and Value Management (PM/585)
Week3
Paper typeGraduate estimating paper
Lengthabout 1,168 words, 4 double-spaced pages plus title page and references
FormatAPA 7 student paper
SchoolUniversity of Phoenix
ProgramMBA
UpdatedOctober 2026

Free sample paper for PM 585 Week 3

1

Nine Thousand Dollars a Line, Give or Take: Estimating Duration and Cost for 2,400 Lead Service Line Replacements

[Student Name]

University of Phoenix

PM/585: Project Scheduling and Value Management

Week 3 Assignment

[Instructor Name]

[Date]

The water authority, its unit costs, crew rates and totals are composites written for a model paper.

What this part is doingThe title states the central number and admits its uncertainty.
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Weeks 1 and 2 defined the scope of Allegheny Ridge Water Authority's first lead service line project and broke it into a work breakdown structure with 60 construction blocks of about 40 addresses each. The composite western Pennsylvania utility now needs estimates of how long the work will take and what it will cost, for the board, the state revolving fund and the city. This paper sets out the methods and results.

Starting From the Authority's Own Data

Last fall the authority ran a pilot of 120 replacements in two neighborhoods with one contractor crew. Pilot records show an average direct cost of $8,600 per line, ranging from about $5,900 for short lines under grass to $14,800 for long lines under concrete streets with trench restoration, and an average of 1.1 crew-days per replacement. The pilot is the best evidence available because it reflects local soils, labor rates, permit practices and housing stock. The current standard notes that estimates improve when they are based on relevant historical data and refined as more information becomes available (Project Management Institute [PMI], 2021).

A Parametric Cost Model

Pilot data showed three variables driving cost: line length, surface over the line and location under a street or under a sidewalk and lawn only. Using the inventory, each of the 2,400 lines was assigned to one of four types:

Type A, short line under lawn and sidewalk (about 38 percent of lines): about $6,800 each.

Type B, medium line crossing a sidewalk and part of the street (about 34 percent): about $9,200.

Type C, long line under a full street lane (about 20 percent): about $12,100.

Type D, line requiring interior work in a finished basement (about 8 percent): about $13,500.

The weighted average is about $9,210 per line. Multiplying by 2,400 lines gives a direct replacement cost of about $22.1 million.

What this part is doingAssigning each line to a type before multiplying is what makes the estimate parametric rather than a guess.
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Productivity and the Learning Curve

Crews in the pilot were slower at first. Wright (1936), studying aircraft manufacturing, observed that labor per unit fell by a roughly constant percentage each time cumulative output doubled, a pattern now called the learning curve. Pilot data fit a curve of about 90 percent: each doubling of cumulative replacements per crew cut the time per line by about 10 percent. Starting from about 1.4 crew-days for a new crew's first line, a crew drops to about 1.02 crew-days by its eighth line and about 0.92 by its sixteenth, then levels off near 0.9, where site conditions rather than practice limit speed.

Across all 2,400 lines the average is about 0.93 crew-days, or about 2,230 crew-days in total. At roughly 140 working days per construction season after weather losses, one crew provides about 140 crew-days a season, so the work needs about eight crews: eight crews provide 1,120 crew-days a season and 2,240 over two seasons, which matches the need with no margin at all. The schedule therefore adds a ninth crew for the second half of the first season, giving about 2,310 crew-days of capacity and a small cushion for weather and access delays.

A Three-Point Estimate for a Typical Block

For a 40-line block worked by one crew, the team estimated an optimistic duration of 34 crew-days if all lines were Type A or B and access agreements were complete, a most likely duration of 40 and a pessimistic duration of 56, allowing for several Type D lines, rain and late access. The weighted estimate is (34 + 4 × 40 + 56) / 6, or about 41.7 crew-days, with a standard deviation of about (56 minus 34) / 6, or 3.7 crew-days. Blocks are scheduled at 42 crew-days, about eight working weeks per crew including restoration hand-offs.

Rolling Up Through the WBS

Costs rolled up by WBS element:

1.1 Project management: about $1.15 million over two years.

1.2 Design and permits: about $0.88 million.

1.3 Procurement, of which materials are mostly inside unit costs: about $0.31 million for filters and administration.

1.4 Community engagement and access: about $0.62 million.

1.5 Service line replacements: about $22.1 million.

1.6 Restoration beyond trench patching: about $2.4 million.

1.7 Records and compliance: about $0.34 million.

The base estimate is about $27.8 million.

A base estimate is the cost of the project going as planned, which is the one outcome nobody should plan on.

Contingency and Reserve

Contingency covers identified risks and sits inside the cost baseline. The risk register's main cost risks are a higher share of Type D lines than the inventory suggests, asphalt price increases and lower access rates requiring more outreach visits. Their expected costs total about $1.9 million, so contingency is set at $2.0 million, giving a cost baseline of about $29.8 million. A management reserve of $1.5 million, about 5 percent, covers unidentified risks and is controlled by the board, for a total authorized budget of about $31.3 million.

Testing for Optimism

Flyvbjerg et al. (2002) analyzed a large sample of transportation infrastructure projects and reported that budgets came in too low on roughly nine projects in every ten, with average overruns that had not improved over decades, and argued that the pattern reflected optimism and, in some cases, deliberate misrepresentation. Their remedy is to compare a project's estimate with the actual outcomes of similar completed projects. The authority compared its per-line estimate with published figures from four other utilities' completed lead line programs, adjusted for region and year. Their actual costs ranged from about $8,400 to $13,200 per line for full replacements, and the median sat near $10,500. The authority's $9,210 direct cost, about $12,400 per line including all project costs and contingency, sits within that range on an all-in basis. The comparison did lead to one change: the share of Type D lines was raised from 6 to 8 percent, since other utilities reported more interior work than their inventories had predicted.

What this part is doingThe reference-class comparison changed an input, which shows it was used rather than cited.
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Basis of Estimates

A short basis-of-estimates document records the pilot data, line type assumptions, learning curve parameters, crew counts, season length, risk expected values and the comparison with other utilities, so that the board, the funding authority and future estimators can see how the numbers were built and update them.

Refining the Estimates

Estimates will be refined after the first 400 replacements, when actual costs by line type and crew productivity can replace pilot figures, and again before the second season, when the planning packages from Week 2 are broken into blocks.

Conclusion

The authority's estimate combines its own pilot data in a parametric model, a learning curve for crew productivity, three-point ranges for blocks, a WBS roll-up, contingency tied to risks and a reserve controlled by the board, for a total authorized budget of about $31.3 million over two seasons with nine crews at peak. A comparison with other utilities' actual results tested the estimate for optimism and changed one assumption. The estimate is a starting point that will be refined as the authority's own crews generate better data.

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References

Flyvbjerg, B., Holm, M. S., & Buhl, S. (2002). Underestimating costs in public works projects: Error or lie? Journal of the American Planning Association, 68(3), 279-295. https://doi.org/10.1080/01944360208976273

Project Management Institute. (2021). A guide to the project management body of knowledge (PMBOK guide) (7th ed.). Project Management Institute.

Wright, T. P. (1936). Factors affecting the cost of airplanes. Journal of the Aeronautical Sciences, 3(4), 122-128. https://doi.org/10.2514/8.155

What the PM 585 Week 3 instructions ask

The third PM 585 assignment typically asks graduate students to estimate activity durations and project costs and to explain the methods used. Prompts may ask for analogous, parametric, bottom-up and three-point estimates, resource-based duration estimates, cost aggregation through the WBS, contingency and management reserves and a discussion of estimate accuracy and bias. Some versions ask for a basis of estimates document. Use the WBS from Week 2 so that every estimate attaches to a work package, show formulas and inputs for each estimate, state assumptions and ranges rather than single numbers and support the approach with journal research on estimating accuracy and bias, cited in APA format.

How this PM 585 Week 3 example is built

In this example the estimate starts from the authority's own pilot data: 120 replacements last fall that averaged $8,600 each and 1.1 crew-days per line. A parametric model adjusts that average by line length, surface type and whether the line runs under a street or only a sidewalk, giving a weighted average near $9,000. A learning curve shows crews getting faster over the first few hundred lines. A three-point estimate for a typical 40-line block gives a duration range of 36 to 52 crew-days. Rolling the work packages up through the WBS gives a base estimate, to which contingency for identified risks and a management reserve are added. A reference-class check against other cities' programs tests the result for optimism.

PM 585 Week 3 grading rubric: where the points go

Strong estimating papers are transparent and calibrated. Graders look for methods matched to the information available, explicit inputs and formulas, assumptions stated and ranges given instead of single figures. Credit goes to rolling estimates up through the WBS, to separating contingency for known risks from management reserve and to explaining how estimates will be refined as data arrive. Discussion of estimating bias, supported by research and tested against external comparisons, shows graduate-level judgment. A basis of estimates that someone else could follow, clear tables or lists and correct APA formatting complete an excellent paper. Graders also look for a plan to refine the estimate once actual cost and productivity data arrive, since an estimate that never changes is rarely accurate.

PM 585 Week 3 help: mistakes to avoid

Estimates that appear without inputs are the first thing graders notice. Show where each number came from, such as pilot data, vendor quotes or published averages. Another frequent error is adding a round contingency percentage with no link to risks; tie it to specific risks and their expected costs. Students also present single-point durations for uncertain work; give ranges. Some papers forget that productivity changes over time, especially on repetitive work where crews learn. Others never compare their totals with outside evidence, which is the best check against optimism. Finally, make sure the WBS roll-up adds to the total. If your estimate does not reconcile, a tutor can trace it with you line by line.

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PM 585 Week 3 questions, answered

What does PM 585 Week 3 usually cover?

It usually covers estimating activity durations and project costs with analogous, parametric, bottom-up and three-point methods, rolling estimates up through the WBS and setting contingency and management reserves.

Where can I find a free PM 585 Week 3 sample paper?

The Week 3 paper above estimates duration and cost for 2,400 lead service line replacements with a parametric model, learning curve and reserves, and it is free.

What is parametric estimating?

A method that uses a statistical relationship between historical data and variables, such as cost per foot of pipe adjusted for surface type, to calculate an estimate for new work.

What is a learning curve in project estimating?

A model in which the time or cost per unit falls by a fixed percentage each time cumulative output doubles, reflecting how crews become faster with repetition.

Why are public project cost estimates often too low?

Research suggests optimism and, in some cases, strategic misrepresentation lead planners to underestimate costs, which is why reference class comparisons with similar completed projects are recommended.

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