Над 4 милиона заглавия на английски и други езици! Открийте новата си история още днес! Безплатна доставка за поръчки над 69.99€

Проверка на състоянието на поръчката

Станете част от общност от любители на книгите от цял свят и получавате много предимства. Създай на безплатен акаунт

Безплатна доставка със Еконт над 69.99 €

Куриер Speedy 3.49 € Пункт на Speedy 3.49 € ЕКОНТ 3.99 € Еконтомат/Офис на Еконт 3.99 € Ekont Box 3.99 € Sameday 3.99 € Sameday box 3.99 € Box Now 3.99 €

Контакт

Как се пазарува?

Помощ

Моят акаунт

▸ Празна :-(

Estimating Performance Time for Air Force Military Construction Projects

Name: Estimating Performance Time for Air Force Military Construction Projects
Brand: Biblioscholar
SKU: 08249449
Price: 21.25 EUR
Availability: InStock
Author: Greg J Hoffman
ISBN: 9781288397778

Greg J Hoffman

Език

Английски език

Книга С меки корици

Код Либристо: 08249449

Издателство Biblioscholar, декември 2012

The prediction of construction time performance is a problem of interest to both researchers and con... Цялото описание

Код Либристо: 08249449

51 b

21.25 €

41.57 лв

Външен склад Изпращаме след 14-21 дни

До 30 дни за връщане на стоки

Клиентите са закупили също

Empedoklés II - Zlomky Tomáš Vítek

Лист

21.10 € 41.26 лв

Gabriotto Und Reinhart Georg Wickram

С твърди корици

428.66 € 838.39 лв

The prediction of construction time performance is a problem of interest to both researchers and construction industry practitioners. This research seeks toidentify significant factors which may influence construction durations for Air Force Military Construction (MILCON) projects to establish a time predictionmodel. Data were collected for 856 MILCON projects completed between 1988 and 2004; this included both traditional facility and non-facility (e.g. airfieldpavements, utilities) projects. These data were analyzed using Bromilow's time-cost (BTC) model (1969) as well as multiple linear regression. Neither modelproduced acceptable results for non-facility projects; however, the multiple linear regression model was found to provide the most acceptable time predictionmodel for facility projects.As with the BTC model and previous research reported in the literature, there was a significant correlation between cost and duration. However, severalother factors were also identified that resulted in significantly lower than average construction durations.