Objectives
This two-day seminar emphasizes all the underlying considerations unique to repair/remodeling estimating and presents the correct methods for generating accurate, reliable R&R project costs using the unit price and assemblies methods.
Approach
| Upgrading existing, often occupied buildings can pose difficult
estimating problems. Complete plans and specifications are
rarely available. Considerations - like labor hours, building
code compliance, the limitations of working within existing
structures during both normal and off hours, purchasing
materials in smaller quantities, delivery and staging of
materials, and the discovery of unforeseen deficiencies - all
add tremendous complexity to the task of accurate estimating.
One of the major judgments an estimator has to make, for
example, concerns the delays associated with maintaining
existing operations within a building.
Using the techniques presented in Means' widely acclaimed Repair
and Remodeling Cost Data, this seminar identifies problems and
provides solutions to estimating building alterations.
Attendees are given step-by-step procedures: rules for
factoring in minimum labor costs, accurate productivity
estimates, and allowances for project contingencies that protect
R&R estimates and thus the bottom line. R&R estimating examples
are calculated using unit prices and assemblies data.
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Who should attend?
Facilities Managers, Plant Engineers, Architects, Contractors,
Estimators, Builders... and others who are concerned with the
proper preparation and/or evaluation of repair and remodeling
estimates.
Course Outline
- Repair and Remodeling estimating challenge
- Evaluation of the structure
- Overhead cost for a construction company and development of
contractors billing rates
- Unit price R&R estimating - job orientation, sources of cost
information, and pricing the estimate
- Using and modifying assemblies for R&R estimating
Materials Provided
Means Repair & Remodeling Cost Data or Facilities Construction Cost Data
Repair and Remodeling Estimating Seminar Workbook
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