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Automated cost estimating system using neural networks

Article Abstract:

An automated cost estimating (ACE) system was developed to help contractors and owners erect low-rise structural buildings. This system was made and coded through Borland C++ 5.0 in a Windows '95 environment and developed using neural networks. These allow the ACE system to provide an effective user interface, integrate artificial intelligence and do traditional spreadsheet applications. Hence, it is useful when making decisions for risk management and creating productivity models for a number of industries.

Electronic computers, Electronic Computer Manufacturing, Artificial Intelligence Systems, Computer networks, Measurement, Neural networks, Design and construction, Buildings, Artificial intelligence, Cost (Economics), Costs (Economics)

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Controlling small tools and consumables using data management and barcoding

Article Abstract:

Tool control in the construction industry is traditionally centered on large and expensive equipment such as bulldozers, cranes and computers. Low-priced small tools and consumables that are typically used in larger quantities than major equipment are often neglected in the control of construction equipment. This situation can be remedied by using data management and bar coding to control small tools and consumables.

Construction machinery, Construction Machinery Manufacturing, Management, Construction equipment, Bar codes

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Fast-tracking's impact on project change

Article Abstract:

Fast-tracking will not increase expected changes in project duration that create delays and increase costs. This general result was obtained after extending studies on 108 construction projects based on data from the Construction Industry Institute. Comparison with a non-aggressively scheduled project showed that total project change was not substantially different for aggressively fast-tracked projects.

Work Schedules, Research, Reports, Work hours, Scheduling (Management), Calendar, Construction Industry Institute

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