Cost estimation Study Guide
Study Guide
📖 Core Concepts
Cost Estimate – A forecast of future program costs derived from summing individual cost elements with valid data and established methods.
Purpose – Enables feasibility studies, funding requests, budgeting, and acquisition decisions; a credible estimate helps avoid overruns.
Classification Levels (5‑Class System)
Class 5 – Order‑of‑magnitude (very rough).
Class 4 – Conceptual / schematic.
Class 3 – Preliminary design.
Class 2 – Detailed design.
Class 1 – Definitive (high‑detail).
Quality Attributes – Credibility, accuracy, confidence level, precision, risk, reliability, validity, thoroughness, consistency, documentation.
Accuracy – Expressed as a % range with a confidence level (e.g., –5 % / +10 % with 90 % confidence).
Contingency – An allowance for unknown, but likely, costs; not a fix for poor estimates or scope changes.
Basis of Estimate (BOE) – Document that records scope, pricing basis, methods, assumptions, inclusions, exclusions, and supporting data.
Cone of Uncertainty – Graphical illustration: uncertainty shrinks as the project moves from concept to detailed design.
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📌 Must Remember
Definitions – GAO: sum of cost elements; AACE: probable cost for documented scope, location, and time.
Class ↔ Accuracy (general rule of thumb):
Class 5: –50 % / +100 % (low confidence).
Class 3: –30 % / +50 %.
Class 1: –5 % / +10 % (high confidence).
Definitive Estimate Steps – Scope definition → quantity survey → apply unit costs → calculate labor hours → add indirect costs (overhead, profit, taxes, bonds, escalation, contingency) → BOE documentation.
Quantity‑Times‑Unit‑Cost Method – Cost = Σ (Quantityᵢ × UnitCostᵢ).
Contingency Percentages – Larger for early‑stage (Class 5) estimates; smaller for Class 1.
Cost Indexes – Adjust capital costs for inflation, technology, material, and labor changes.
Direct vs Indirect Costs – Direct: project‑specific items (materials, labor). Indirect: overhead, profit, taxes, etc.
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🔄 Key Processes
Definitive Estimate Process (Class 1)
Review design & contracts → define Scope of Work.
Perform quantity takeoff (use MasterFormat numbering).
Apply material, labor, equipment, subcontractor unit costs.
Compute labor hours (ProductionRate × Quantity) → multiply by labor rate.
Add indirect costs (overhead, profit, taxes, bonds, escalation, contingency).
Compile BOE (scope, pricing basis, assumptions, exclusions).
Early‑Stage Modeling Techniques
Judgment/experience, historical data, rules‑of‑thumb, factor estimating, cost modeling.
May use stochastic (probabilistic) methods when data are scarce.
Documentation (BOE) Creation
Outline scope basis, pricing basis, methodology, assumptions, inclusions/exclusions, supporting calculations, vendor quotes, and cost assumptions.
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🔍 Key Comparisons
Contingency vs Estimate Quality – Contingency covers unknown costs; quality attributes (credibility, accuracy) describe how well the estimate reflects known scope.
Order‑of‑Magnitude (Class 5) vs Definitive (Class 1) – Rough cost factor vs detailed quantity‑takeoff with unit costs; confidence ranges differ dramatically.
Stochastic vs Deterministic Methods – Stochastic (probabilistic) used early with high uncertainty; deterministic (single‑value) used later when data are concrete.
Direct Costs vs Indirect Costs – Direct: tied to specific work items; Indirect: general overhead, profit, taxes, etc.
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⚠️ Common Misunderstandings
“Contingency fixes a bad estimate.” – It only cushions unknowns; a poor estimate still needs improvement.
“A –5 % / +10 % range means the final cost will be within that band.” – It’s a statistical confidence interval, not a guarantee.
“Class 5 estimates are sufficient for contract bidding.” – Bids require at least Class 2–3 (detailed design) estimates.
“All cost indexes are the same.” – Different industries (e.g., chemical process) have specialized indexes.
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🧠 Mental Models / Intuition
Cone of Uncertainty – Imagine a funnel: the wider the top (early phase), the larger the possible cost spread; it narrows as design matures.
Recipe Analogy – Cost = ingredients (quantities) × price per ingredient (unit cost) + seasonings (indirect costs). Updating a price automatically updates the total without re‑counting ingredients.
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🚩 Exceptions & Edge Cases
Mixed‑Method Estimates – When some scope elements have solid data (deterministic) and others do not (stochastic), combine both.
Specialized Cost Indexes – For processes lacking current literature, use chemical process engineering indexes instead of generic construction indexes.
High‑Risk Projects – May add a separate risk reserve beyond standard contingency.
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📍 When to Use Which
Select Estimate Class –
Conceptual studies → Class 5 or 4.
Preliminary design → Class 3.
Detailed design → Class 2.
Final bid/contract → Class 1.
Method Choice –
Early stage, limited data → stochastic or judgment‑based.
Later stage, detailed scope → deterministic quantity‑times‑unit‑cost.
Apply Cost Indexes – When inflation, material, or labor cost changes are expected between estimate date and execution.
Use Contingency – Add larger percentages for Class 5–3; shrink for Class 2–1.
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👀 Patterns to Recognize
Confidence + Range – Look for “–X % / +Y % with Z % confidence” in accuracy statements.
BOE Sections – Scope, pricing basis, assumptions, inclusions/exclusions, supporting data → always appear together.
Indirect Cost Line Items – Overhead, profit, taxes, bonds, escalation, contingency are typically grouped after direct costs.
Standard Numbering – MasterFormat or Uniformat signals a detailed, structured quantity takeoff.
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🗂️ Exam Traps
“Contingency covers scope changes.” – Incorrect; scope changes require a change order, not contingency.
Choosing a Class 5 estimate for a contract bid. – Wrong; bids need detailed (Class 2‑1) estimates.
Assuming a deterministic method works for early‑stage estimates. – Early stages lack sufficient data; stochastic/judgment methods are required.
Confusing direct and indirect cost percentages. – Direct costs relate to specific work items; indirect costs are overhead‑type items and are added after direct totals.
Believing a 90 % confidence interval guarantees the final cost will fall inside it. – It is a statistical likelihood, not an absolute bound.
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