| contributor author | Osama Moselhi | |
| contributor author | Adel Alshibani | |
| date accessioned | 2017-05-08T20:50:34Z | |
| date available | 2017-05-08T20:50:34Z | |
| date copyright | October 2009 | |
| date issued | 2009 | |
| identifier other | %28asce%290733-9364%282009%29135%3A10%28948%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/28941 | |
| description abstract | Large scale earthmoving operations require the use of heavy and costly construction equipment. Optimum utilization of equipment is a crucial task for the project management team. It can result in substantial savings in both time and cost of earthmoving operations. This paper presents optimization model for earthmoving operations in heavy civil engineering projects. The developed model is designed to assist general contractor in optimizing planning of earthmoving operations. The model utilizes genetic algorithm, linear programming, and geographic information systems to support its management functions. The model assists in planning earthmoving operations; taking into consideration: (1) availability of resources to contractors; (2) project budget and/or time constraints, if any; (3) scope of work; (4) construction site conditions; (5) soil type; (6) project indirect cost; and (7) equipment characteristics. The model also determines the quantities of earth to be moved from different borrow pits and those to be placed at different landfill sites to meet optimization objective set by the user and to meet project constraints. The model has been implemented in prototype software, using object-oriented programming. Two numerical example projects are presented to validate and demonstrate the use of the developed model in optimizing earthmoving operations. | |
| publisher | American Society of Civil Engineers | |
| title | Optimization of Earthmoving Operations in Heavy Civil Engineering Projects | |
| type | Journal Paper | |
| journal volume | 135 | |
| journal issue | 10 | |
| journal title | Journal of Construction Engineering and Management | |
| identifier doi | 10.1061/(ASCE)0733-9364(2009)135:10(948) | |
| tree | Journal of Construction Engineering and Management:;2009:;Volume ( 135 ):;issue: 010 | |
| contenttype | Fulltext | |