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{ "item_title" : "Estimating Performance Time for Air Force Military Construction Projects", "item_author" : [" Greg J. Hoffman "], "item_description" : "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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/28/839/777/1288397771_b.jpg", "price_data" : { "retail_price" : "20.95", "online_price" : "20.95", "our_price" : "20.95", "club_price" : "20.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Estimating Performance Time for Air Force Military Construction Projects|Greg J. Hoffman

Estimating Performance Time for Air Force Military Construction Projects

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Overview

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.

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Details

  • ISBN-13: 9781288397778
  • ISBN-10: 1288397771
  • Publisher: Biblioscholar
  • Publish Date: December 2012
  • Dimensions: 9.21 x 6.14 x 0.49 inches
  • Shipping Weight: 0.73 pounds
  • Page Count: 232

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