Standard Classification for Cost Estimate Classification System

Importancia y uso:

4.1 Use of this classification will improve communication among all the stakeholders involved with preparing, evaluating, and using cost estimates.

4.2 The various parties that use cost estimates often misinterpret the quality and value of the information available to prepare cost estimates, the various methods employed during the estimating process, the accuracy level expected from estimates, and the level of risk associated with estimates.

4.3 This classification applies the degree of project definition as the primary characteristic for determining an estimate’s classification.

4.4 Using this classification will help those involved with project estimates to avoid misinterpretation of the various classes of cost estimates and to avoid their misapplication and misrepresentation. Improving communications about estimate classifications reduces business costs and project cycle times by avoiding inappropriate business and financial decisions, actions, delays, or disputes caused by misunderstandings of cost estimates and what they are expected to represent.

4.5 This classification is intended to be generic and so provide a system for the classification of cost estimates in any industry. There are also references to specific industries, for cost estimate classification as applied in: AACE International, Process Industry 18R-97, and AACE International, Building/General Construction Industry 56R-08.

4.6 Estimate classifications provide valuable additional reporting information when used as an adjunct to Practice E1804.

Subcomité:

E06.81

Referida por:

E2103_E2103M-19R24, E3008_E3008M-16R23

Volúmen:

04.12

Número ICS:

03.100.60 (Accountancy)

Palabras clave:

bid/tender; class 1 estimate; class 2 estimate; class 3 estimate; class 4 estimate; class 5 estimate; class of estimate; cost estimate; cost estimate classification methodology; degree of project definition; deterministic; effort to prepare estimates; end usage; estimate classification; estimate classification matrix; estimating methodology; expected accuracy range; life cycle; maturity and quality matrix; project; stochastic;