Estimating & Costing

Chapter 9
Resource Productivity, Equipment and Time–Cost Relationships

Diploma in Construction Engineering
Estimating & Costing   •   Diploma

Resource Productivity, Equipment and Time–Cost Relationships

Introduction

Estimating and costing are not limited to pricing materials and labour. A reliable estimate must explain how resources will be transformed into completed work, how long that transformation will take, and how changes in method or resources will affect cost. In construction, productivity is therefore a central link between quantities, unit rates, programme duration and project profitability.

This chapter examines labour outputs, equipment ownership and operating costs, crew composition, construction methods, learning effects, resource constraints and time–cost relationships. The emphasis is practical: a diploma-level estimator should be able to develop a defensible productivity rate, select an appropriate equipment-cost basis, compare alternative methods and recognise when a low unit cost may create an unacceptable delay or risk.

Learning Objectives

After studying this chapter, the learner should be able to:

  1. Explain construction productivity and identify factors that influence it.
  2. Calculate labour outputs and labour cost per unit of work.
  3. Distinguish equipment ownership costs from operating costs.
  4. Develop a basic crew composition and evaluate crew productivity.
  5. Compare construction methods using time, cost, quality and risk.
  6. Explain learning effects and resource constraints.
  7. Analyse basic time–cost relationships and direct and indirect costs.
  8. Apply these principles to an estimating and planning problem.

1. Productivity in Construction

Productivity is the quantity of acceptable work produced per unit of resource input. For a single resource, it may be expressed as:

P = Q ÷ H

where:

  • P = productivity or output rate;
  • Q = measured quantity of completed work;
  • H = resource input, commonly labour-hours, machine-hours or crew-hours.

The reciprocal is the input required per unit of work:

h = H ÷ Q = 1 ÷ P

Here, h is expressed, for example, as labour-hours per cubic metre. The reciprocal relationship is valid only when the numerator and denominator refer to the same scope and the same resource basis.

A distinction must be made between productivity and efficiency. Productivity is an observed output rate. Efficiency compares actual performance with a reference or planned performance:

η = Pactual ÷ Preference × 100%

The reference must be stated clearly. A productivity value measured on a congested urban site should not be compared uncritically with a planned value for open ground.

1.1 Factors affecting productivity

Important influences include:

  • worker skill, experience, fatigue and motivation;
  • site access, congestion, storage and working space;
  • weather, temperature, rainfall and daylight;
  • design completeness and drawing changes;
  • material availability and delivery reliability;
  • equipment capacity, condition and breakdown frequency;
  • supervision, safety procedures and communication;
  • work sequencing and coordination with other trades;
  • quality requirements, inspection and rework;
  • wage systems, incentives and industrial relations.

A productivity allowance should not be used as an unexplained percentage. The estimator should identify its cause, such as restricted access, repetitive lifting, waiting for inspection or expected rain interruption.

1.2 Productivity, output and utilization

A machine may have a high theoretical capacity but a lower actual output because it is waiting, travelling empty, being refuelled or positioned. A useful decomposition is:

Qactual = Qtheoretical × U

where U is the utilization factor, between 0 and 1 under ordinary conditions. This simple model assumes that the principal loss can be represented by one factor; in detailed planning, separate allowances may be used for availability, operating efficiency and utilization.

2. Measuring Labour Outputs

Labour estimating commonly begins with a crew and a stated output. A crew consists of workers who operate together to produce a defined work item. If a crew contains ni workers of category i, and the crew works t hours, total labour input is:

Hcrew = t × ∑ ni

The equation assumes that all listed workers are engaged for the same period. If attendance periods differ, each worker category must be calculated separately.

If the crew produces Qcrew units during that period, crew productivity is:

Pcrew = Qcrew ÷ Hcrew

The labour cost per unit is:

CL = (t × ∑ ni × ri) ÷ Qcrew

where ri is the hourly cost of worker category i. The hourly cost should include the costing basis selected by the organisation, such as basic wage, statutory contributions, allowances, payroll taxes and other directly attributable labour burdens. Overhead must not be added twice.

Worked Example 1: Masonry crew

A crew consists of two masons and three labourers. It lays 18 m² of blockwork in an 8-hour shift. The hourly costs are 12 monetary units per mason and 8 monetary units per labourer.

Total labour-hours:

Hcrew = 8 × (2 + 3) = 40 labour-hours

Productivity:

Pcrew = 18 ÷ 40 = 0.45 m² per labour-hour

Labour cost for the shift:

Cshift = 8 × [(2 × 12) + (3 × 8)] = 288

Labour cost per square metre:

CL = 288 ÷ 18 = 16 monetary units per m²

The estimate should also record the crew ratio, block type, wall thickness, access conditions and whether openings or scaffolding were included. Without this context, the productivity rate is difficult to reuse responsibly.

2.1 Output-based and time-based records

Useful records include daily quantities, labour attendance, equipment hours, delays, rework and weather. A daily report should distinguish productive hours from standby hours. For example, eight hours on site does not necessarily mean eight productive hours. However, all paid hours remain relevant to cost, even when they do not generate output.

Historical productivity data should be normalised for differences in scope and conditions. A rate based on a small isolated repair is not automatically suitable for repetitive work on a large project.

3. Crew Composition and Construction Methods

Crew composition is a technical and economic decision. Increasing the number of workers does not always increase output proportionally. The work may be limited by one operation, such as formwork preparation, material supply or inspection.

A crew should be designed around the work flow:

  1. define the work item and quality standard;
  2. identify the sequence of tasks;
  3. determine the controlling or bottleneck task;
  4. assign appropriate trades and support workers;
  5. estimate output under stated conditions;
  6. check safety, supervision, access and material supply;
  7. compare cost and duration with alternatives.

3.1 Crew balance

Suppose a placing operation can handle only one worker at a time while additional workers can prepare materials. Adding placing workers beyond the handling capacity creates interference. Conversely, too few support workers may leave skilled workers waiting.

The estimator should therefore consider:

  • trade skill matching;
  • gang size and communication requirements;
  • material-handling distance;
  • equipment-to-worker ratio;
  • working-face width;
  • supervision and safety requirements;
  • continuity between successive activities.

A crew with a lower hourly cost may have a higher unit cost if its output is substantially lower. Conversely, a larger crew may reduce duration but increase idle time and congestion.

3.2 Comparing methods

Construction methods should be evaluated using more than direct labour cost. A method comparison may include:

CriterionQuestions for the estimator
Direct costWhat are labour, material and equipment costs?
DurationDoes the method meet the programme?
QualityAre tolerances and finish requirements achievable?
SafetyDoes it introduce lifting, traffic or work-at-height hazards?
LogisticsIs access, storage and delivery feasible?
RiskHow sensitive is the method to weather, breakdown or rework?
SustainabilityWhat are energy, waste and emissions implications?

The lowest initial unit rate is not necessarily the lowest project cost.

4. Equipment Ownership and Operating Costs

Equipment cost is commonly classified as either ownership cost or operating cost. Ownership costs arise because the contractor owns or controls the equipment, whether or not it is working. Operating costs arise from using it.

4.1 Ownership costs

Typical ownership costs include:

  • depreciation;
  • financing or interest cost;
  • insurance;
  • licences and registration;
  • storage and administration;
  • taxes and other fixed charges.

For straight-line depreciation, annual depreciation is:

Da = (C0 − S) ÷ L

where C0 is acquisition cost, S is estimated salvage value and L is economic life in years. This is an accounting allocation and may not equal actual market-value decline.

If annual ownership costs total Fa and expected annual use is Ha machine-hours, the ownership cost per machine-hour is:

CO = Fa ÷ Ha

The result is highly sensitive to utilization. If expected use falls, fixed cost per operating hour rises.

4.2 Operating costs

Operating costs may include fuel, lubricants, tyres or tracks, repairs, maintenance, wear parts and an operator when the operator is not costed separately. A basic hourly equipment rate is:

CE = CO + Cop

where CE is total equipment cost per machine-hour and Cop is operating cost per machine-hour.

A contractor must define whether equipment rates include delivery, mobilisation, demobilisation, attachments, standby, operator wages and taxes. Published rental rates may use a different basis from internal ownership rates.

Worked Example 2: Equipment hourly cost

A loader costs 60,000 monetary units, has an estimated salvage value of 10,000, and a useful life of 5 years. Annual insurance, storage and administration total 4,000. Expected use is 1,000 hours per year. Operating costs are 14 monetary units per hour.

Annual depreciation:

Da = (60,000 − 10,000) ÷ 5 = 10,000

Annual ownership cost:

Fa = 10,000 + 4,000 = 14,000

Ownership cost per hour:

CO = 14,000 ÷ 1,000 = 14 per machine-hour

Total equipment cost:

CE = 14 + 14 = 28 per machine-hour

If actual use is only 700 hours per year, ownership cost becomes 20 per hour, and total cost becomes 34 per hour, assuming the same fixed costs and operating cost. This illustrates why utilization is a major estimating risk.

4.3 Equipment output

For a cyclic machine, output may be estimated from capacity, cycle time, fill factor, efficiency and utilization. A general form is:

Qh = q × N × f × U

where Qh is hourly output, q is nominal capacity per cycle, N is cycles per hour, f is fill or load factor and U is utilization. Units must be consistent; for example, cubic metres per hour when q is cubic metres per cycle.

For cycle time Tc in minutes:

N = 60 ÷ Tc

The formula is appropriate only when the work is repetitive and the stated capacity and factors represent actual site conditions.

5. Learning Effects

Learning occurs when repeated performance improves through familiarity, better coordination, improved layout and reduced handling errors. A commonly used learning-curve model is:

tx = t1 × xb

where tx is time per unit for the xth unit, t1 is time for the first unit, and b is a negative learning exponent. This model is empirical, not a universal law.

In a traditional 80% cumulative-average learning curve, doubling cumulative output causes average time per unit to become 80% of its previous value. Learning should not be assumed indefinitely. It may level off when the crew reaches stable performance, and it may be disrupted by design changes, worker turnover, weather or a new work area.

For estimating, learning is most credible where work is repetitive, the method remains stable and historical data exist. It should not be used to conceal inadequate initial planning or unsafe acceleration.

6. Resource Constraints and Bottlenecks

A project is constrained by labour, equipment, materials, finance, space, information or approvals. The controlling constraint determines achievable output. If concrete placement requires a pump, a crew and continuous supply, increasing the number of finishers alone may not increase production.

A practical constraint analysis asks:

  • What resource limits the current activity?
  • Is the resource available when required?
  • What happens if it fails or arrives late?
  • Can the sequence or method reduce dependence on it?
  • Is additional resource cheaper than delay?

Resource levelling changes activity timing to avoid excessive demand peaks. Resource smoothing seeks to adjust activities within available float without changing the completion date. These are planning decisions, but their consequences must be reflected in the estimate through standby, overtime, shift work or changed productivity.

7. Time–Cost Relationships

Project cost is commonly separated into direct and indirect cost. Direct cost is associated with performing work, such as labour, materials and equipment. Indirect cost includes site supervision, temporary facilities, security, utilities, insurance and head-office or time-related overheads, depending on the organisation’s classification.

A simplified total-cost relationship is:

Ctotal(T) = Cdirect(T) + Cindirect(T)

If indirect cost accrues at a constant daily rate ci, for a duration T days:

Cindirect = ci × T

This is a simplifying assumption. Actual indirect cost may be stepwise, fixed, or different across project stages.

Normally, shortening duration requires additional direct cost through overtime, additional crews, extra equipment, prefabrication or premium procurement. A simple linear cost slope between two schedule alternatives is:

s = (Ccrash − Cnormal) ÷ (Tnormal − Tcrash)

where s is additional direct cost per day saved. The formula assumes a linear relationship between the two stated alternatives and should not be extrapolated beyond them.

Acceleration is economically attractive when the added direct cost per day saved is less than the indirect cost saved per day, subject to feasibility and risk. It may also be required for contractual, safety or operational reasons even when it is not the least-cost option.

Worked Example 3: Time–cost decision

A finishing activity can be completed normally in 20 days at a direct cost of 40,000. An accelerated method completes it in 16 days at a direct cost of 46,000. Time-related indirect cost is 1,200 per day.

Cost slope:

s = (46,000 − 40,000) ÷ (20 − 16) = 1,500 per day saved

Indirect saving:

1,200 × 4 = 4,800

Additional direct cost is 6,000, which exceeds the indirect saving of 4,800. On these assumptions, acceleration increases total cost by 1,200. The decision could nevertheless change if the normal method carries a delay penalty, releases another critical activity, or reduces a significant project risk.

Time–cost analysis must focus on the critical path. Shortening a non-critical activity may not shorten project completion and therefore may not save time-related overhead.

8. Applied Case: Earthwork Platform

This is an illustrative case. A contractor must place and compact 12,000 m³ of selected fill for an industrial platform. Two methods are under consideration.

Background and problem

Method A uses a small excavator, several dump trucks and a small roller. It has low equipment ownership cost but a predicted output of 300 m³ per day. Method B uses a larger excavator, fewer high-capacity trucks and a larger roller, with predicted output of 500 m³ per day. The platform must be ready in 30 working days.

Analysis

Method A duration is:

TA = 12,000 ÷ 300 = 40 working days

Method B duration is:

TB = 12,000 ÷ 500 = 24 working days

Although Method A may have a lower daily equipment cost, it cannot meet the required duration without extended working, additional crews or a revised sequence. The estimator must investigate whether Method B’s higher hourly ownership cost is offset by lower site overhead and earlier availability of the facility.

The analysis should also test the assumptions. If truck supply is unreliable, the larger excavator may be starved. If the platform is confined, the larger roller may not operate safely. If moisture control is poor, nominal output will not produce acceptable compacted work.

Approach and solution

The contractor selects Method B for the main area, but uses the smaller roller near edges and services. Daily records are used to compare planned and actual truck cycles, moisture condition, roller passes and accepted volume. A contingency is included for wet weather and equipment breakdown.

Outcome and learning points

The blended method meets the completion requirement while avoiding the use of oversized equipment in restricted areas. The case demonstrates that productivity is a system property: excavator, trucks, spreading, watering, compaction, inspection and site access must be balanced. Equipment selection based on one machine’s theoretical output would have been misleading.

9. Technology, Governance and Professional Practice

Digital field records, GPS machine control, telematics, mobile time sheets and building information models can improve productivity measurement. These tools can identify idle time, cycle variation and location-based delays. Artificial intelligence may assist in forecasting output or detecting abnormal equipment behaviour, but its results depend on reliable, representative data and professional validation.

Good governance requires transparent assumptions, traceable source data and separation of measured facts from allowances. Estimators should not manipulate productivity rates to win work and then rely on unsafe overtime or unrealistic crew loading. Labour laws, working-hour limits, minimum wages, occupational safety requirements, environmental controls and equipment inspection regulations must be included in planning and costing.

Data collection should respect privacy and employment requirements. Telematics and worker-monitoring systems should have a legitimate purpose, controlled access and clear retention rules. Productivity improvement must never be achieved by suppressing reporting of incidents, fatigue or defects.

10. Best-Practice Procedure for Estimators

A defensible resource estimate can follow this procedure:

  1. Define the work item, measurement unit, quality standard and location.
  2. Select a crew or equipment system appropriate to the method.
  3. Obtain historical outputs from comparable conditions.
  4. State assumptions about access, weather, working hours and supply.
  5. Separate productive time, standby, maintenance and delay.
  6. Calculate labour, equipment and time-related costs using consistent units.
  7. Check the controlling resource and likely bottlenecks.
  8. Test normal and accelerated alternatives where programme risk is important.
  9. Document allowances and avoid double counting overheads.
  10. Compare estimated output with field records and update the production basis.

Challenges and Limitations

Productivity estimates are uncertain because construction is site-specific and non-repetitive. Averages can conceal large variations. Weather allowances may be inaccurate; equipment cost depends strongly on utilization and maintenance; learning curves may fail after a design change; and time–cost curves are rarely linear over a wide range. Estimates should therefore be presented with assumptions, sensitivity checks and, where appropriate, ranges rather than false precision.

Chapter Summary

Construction productivity measures output relative to labour, machine or crew input. Reliable productivity analysis requires a clearly defined work item, consistent units and stated site conditions. Labour cost per unit depends on crew composition, working time, wage rates and output. Equipment cost must distinguish ownership costs, which arise from possessing equipment, from operating costs, which arise from using it. Equipment output depends on capacity, cycle time and realistic utilization.

Crew balance and method selection require attention to bottlenecks, logistics, quality, safety and risk, not merely hourly rates. Repetition may produce learning effects, but learning is empirical and limited by changes in conditions. Resource constraints determine achievable output and may require levelling, smoothing or alternative methods. In time–cost analysis, acceleration should be evaluated against indirect savings and the critical path. Professional estimates must be transparent, ethical, legally compliant and supported by field evidence.

Key Terms

Productivity: Output produced per unit of resource input.

Efficiency: Actual productivity expressed relative to a stated reference productivity.

Labour-hour: One hour of work by one worker.

Crew: A coordinated group of workers performing a defined work operation.

Output: Quantity of acceptable work completed in a stated period.

Utilization: Proportion of available time during which a resource contributes to production.

Ownership cost: Cost incurred from owning or controlling equipment.

Operating cost: Cost incurred while equipment is being used.

Depreciation: Allocation of an asset’s depreciable cost over its useful life.

Salvage value: Estimated value of equipment at the end of the costing period or life.

Cycle time: Time required to complete one repeated equipment cycle.

Fill factor: Ratio of actual loaded capacity to nominal capacity.

Crew balance: Matching worker skills and quantities to the work flow.

Bottleneck: Resource or operation that limits system output.

Learning effect: Improvement in performance resulting from repeated production.

Resource levelling: Adjusting activity timing to reduce resource demand peaks.

Direct cost: Cost directly attributable to carrying out construction work.

Indirect cost: Time-related or supporting cost not assigned directly to a work quantity.

Cost slope: Additional direct cost associated with saving one unit of time.

Critical path: Longest controlling sequence of activities determining project duration.

Review Questions

Short Answer Questions

  1. Define construction productivity and state its reciprocal measure.
  2. Distinguish ownership cost from equipment operating cost.
  3. Identify four factors that can reduce labour productivity.
  4. What is meant by a bottleneck in a construction operation?
  5. Why should time–cost analysis focus on the critical path?

Long Answer Questions

  1. Explain how crew composition influences labour output and unit cost.
  2. Describe a practical procedure for developing an equipment hourly rate.
  3. Discuss the uses and limitations of learning-curve models in construction estimating.
  4. Explain how resource constraints affect construction methods and project duration.
  5. Compare direct and indirect costs and explain their relationship with project time.

Analytical / Application Questions

  1. A crew of three workers completes 24 m² in a 7-hour shift. Calculate labour-hours per square metre and explain what additional information is needed before applying the rate to another project.
  2. An equipment alternative costs more per hour but completes work in fewer days. Develop a method for deciding whether the alternative is economically justified, including indirect cost and critical-path considerations.
  3. A concrete operation repeatedly experiences idle labour because deliveries are late. Analyse the likely productivity causes and propose coordinated changes to crew composition, logistics and monitoring.

Multiple Choice Questions with Answers

Question 1

A crew of 4 workers produces 32 m² in an 8-hour shift. What is its productivity?

A. 0.50 m² per labour-hour

B. 1.00 m² per labour-hour

C. 4.00 m² per labour-hour

D. 16.00 m² per labour-hour

Correct Answer: A. 0.50 m² per labour-hour

Question 2

Which of the following is normally an ownership cost of equipment?

A. Fuel

B. Lubricants

C. Depreciation

D. Wear parts

Correct Answer: C. Depreciation

Question 3

A machine has a nominal cycle capacity of 2 m³, completes 10 cycles per hour, and has utilization of 0.75. Ignoring other factors, its output is:

A. 7.5 m³/h

B. 15 m³/h

C. 20 m³/h

D. 26.7 m³/h

Correct Answer: B. 15 m³/h

Question 4

If annual fixed equipment costs remain constant but annual machine use decreases, ownership cost per machine-hour will generally:

A. Decrease

B. Remain zero

C. Increase

D. Become an operating cost

Correct Answer: C. Increase

Question 5

The principal purpose of identifying a bottleneck is to determine:

A. The resource limiting system output

B. The cheapest material supplier

C. The final profit percentage

D. The equipment salvage value

Correct Answer: A. The resource limiting system output

Question 6

A cost slope in time–cost analysis represents:

A. Total indirect cost divided by project area

B. Additional direct cost per unit of time saved

C. Equipment cost divided by fuel consumption

D. Labour-hours divided by crew size

Correct Answer: B. Additional direct cost per unit of time saved

Question 7

Learning effects are most credible when work is:

A. Unique and constantly redesigned

B. Repetitive and performed with a stable method

C. Performed without records

D. Unrelated to previous output

Correct Answer: B. Repetitive and performed with a stable method

Question 8

A project has a daily indirect cost of 1,000. Accelerating the critical path by 3 days saves, before acceleration costs:

A. 333

B. 1,000

C. 3,000

D. 4,000

Correct Answer: C. 3,000

Question 9

Which statement best describes utilization?

A. Nominal equipment purchase price

B. Proportion of available time contributing to production

C. Annual depreciation divided by salvage value

D. Number of workers in a crew

Correct Answer: B. Proportion of available time contributing to production

Question 10

Why may adding workers fail to increase construction output proportionally?

A. Workers always reduce equipment capacity

B. The operation may be limited by a bottleneck or congestion

C. Labour cost is unrelated to output

D. Productivity cannot be measured

Correct Answer: B. The operation may be limited by a bottleneck or congestion

Estimating & Costing
Chapter 9 of 15