A. Mohamed et T. Celik, AN INTEGRATED KNOWLEDGE-BASED SYSTEM FOR ALTERNATIVE DESIGN AND MATERIALS SELECTION AND COST ESTIMATING, Expert systems with applications, 14(3), 1998, pp. 329-339
Citations number
20
Categorie Soggetti
Computer Science Artificial Intelligence","Operatione Research & Management Science","Engineering, Eletrical & Electronic","Computer Science Artificial Intelligence","Operatione Research & Management Science
Building design and material type used are the two main parameters tha
t have a significant impact on the cost of a building. Therefore, it i
s important for a cost estimating tool to have a mechanism that allows
the designer to perform a rapid 'what if analysis on design alternati
ves and materials selection at the early planning stage without the ac
companiment of detailed design and drawings. However, the traditional
design cost estimating procedures generally focus on assessing costs a
fter design decisions are made and conveyed to the construction drawin
g as a quantity take off. On the other hand, comparative cost estimati
ng (unit cost per square meter) uses historical data collected by aver
aging buildings of different designs, heights and materials. Even toda
y's computer aided design (CAD) software incorporates a mechanism to t
ake off quantities from completed designs and drawings. However, basic
ally they are the same as the traditional quantity take off estimating
because a single specified design still controls the resulting costs,
and there is no alternative materials selection integrated to the cos
t system. This article presents an integrated knowledge-based system f
or alternative design decisions, materials selection and cost estimati
ng mainly for pre-design analysis. The knowledge-based system also inc
ludes materials selection and cost estimating for after-detailed desig
n by providing edit tables for inputting the dimensions of building el
ements from completed designs and drawings or by directly importing fr
om CAD. The system generates activities quantities, costs and lists of
materials selected and their respective quantities. An analysis of al
ternative design and materials selection for a residential building us
ing the integrated system is presented. (C) 1998 Elsevier Science Ltd.
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