الفهرس 
IntroductionOnly 14 pages are availabe for public view
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Abstract
In this thesis, the scheduling of repetitive construction projects under uncertainty problem is discussed. Classical CPM analysis does not suit characteristics for repetitive projects, whereas LOB lacks the analytical qualities of CPM scheduling. Different techniques are used for solving the problem of uncertainty such as fuzzy set theory. In this thesis, an integrated CPM and LOB with Fuzzy set theory for scheduling repetitive construction projects have been developed to combine the benefits of both CPM and LOB with fuzzy theory in an easy analytical non-graphical manner. To simplify the use of the developed model, an automated system called (F.CPM.LOB) was developed. The system is automated using commercial software (Microsoft Excel and Visual Basic Programming Language). The program provides calculations of critical path method with fuzzy, Line of Balance with fuzzy, calculating activity duration for all repetitive units, specifying logical relationships and associated lag using overlapping activities, and finally, DFCPM time analysis. In order to verify the developed model, two real-life projects (Regional Ring Road Project and City Stars North Coast project) were used. The automated system was used to simplify the calculations of the developed model. The results show the capability of the developed model to deal with the uncertainty inherent in construction projects in a sufficient manner and the ability to perform network schedule considering logical dependency constraints while satisfying work continuity and availability constraints.