دانلود مقاله ISI انگلیسی شماره 69723
ترجمه فارسی عنوان مقاله

با استفاده از شبکه عصبی برای پیش بینی عملکرد پروژه های طراحی در سنگاپور

عنوان انگلیسی
Using neural network to predict performance of design-build projects in Singapore
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
69723 2004 12 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Building and Environment, Volume 39, Issue 10, October 2004, Pages 1263–1274

ترجمه کلمات کلیدی
شبکه های عصبی مصنوعی، عملکرد پروژه، عوامل موفقیت بحرانی، تعیین کننده های کلیدی، طراحی ساختمان
کلمات کلیدی انگلیسی
Artificial neural network; Project performance; Critical success factors; Key determinants; Design-build

چکیده انگلیسی

This study finds that six performance metrics can be predicted with a reasonable degree of accuracy: project intensity; construction and delivery speeds; turnover, system and equipment quality. The key variables that affect project performance may be attributed to both contractors and clients. To ensure project success, contractors should have adequate staffing level, a good track record for completion on budget, and ability in financial management and quality control. Consultants should have a high level of construction sophistication, and have handled DB projects in the past. Clients also play an important part in ensuring DB project success. They would need to have construction experience and handled DB projects in the past. In addition, they should decide on the optimal level of design completion when the budget is fixed and tenders are invited. It is recommended that owners and contractors take note of the factors identified in this study, which significantly affect DB project performance.