| contributor author | Mohamed Hegab | |
| contributor author | Gary R. Smith | |
| date accessioned | 2017-05-08T20:51:12Z | |
| date available | 2017-05-08T20:51:12Z | |
| date copyright | May 2009 | |
| date issued | 2009 | |
| identifier other | %28asce%290733-9364%282009%29135%3A5%28432%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/29298 | |
| description abstract | Microtunneling projects have special process characteristics. The production time of microtunneling projects is needed for project estimating and scheduling. The production time has three basic components: (1) preparation times for pipe segments; (2) preparation times; and (3) delay times. Real project data were collected from 35 projects to predict the time needed for pipe segment preparation. A probabilistic distribution technique was used to predict the preparation times for pipe segments. Various numbers of probabilistic distributions were tested against the data. A log-logistic distribution was selected to represent the preparation time’s probability for a pipe in microtunneling projects. Preparation times for high, medium, and low performance contractors were predicted. By enhancing the estimation process of the microtunneling projects, contractors can use this paper in predicting the preparation time for pipe segments, which represents the crew (or crew’s) productivity. | |
| publisher | American Society of Civil Engineers | |
| title | Labor Performance Analysis for Microtunneling Projects | |
| type | Journal Paper | |
| journal volume | 135 | |
| journal issue | 5 | |
| journal title | Journal of Construction Engineering and Management | |
| identifier doi | 10.1061/(ASCE)0733-9364(2009)135:5(432) | |
| tree | Journal of Construction Engineering and Management:;2009:;Volume ( 135 ):;issue: 005 | |
| contenttype | Fulltext | |