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)

---

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

---

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

Similar abstracts:

• Abstracts: Forecasting futures trading volume using neural networks. Persistence of volatility in futures markets. Volatility and commodity price dynamics
• Abstracts: Using neural networks for forecasting volatility of S&P 500 Index futures prices
• Abstracts: How to reduce risk on your investment portfolio. The business owner ... ideas to increase and protect your wealth
• Abstracts: Privatization and agency status: identifying the critical factors for performance improvement. Extending the cognitive approach to strategic change in organizations: some theory
• Abstracts: Forecasting system parent group formation: an empirical application of cluster analysis. Hybrid structures and improving forecasting and scheduling in project management

This website is not affiliated with document authors or copyright owners. This page is provided for informational purposes only. Unintentional errors are possible.