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Abstract Scheduling is a particularly important function in the field of project management. Project managers are requested to answer the question when the project will begin and when exactly ends. To answer that question project scheduling techniques appear. The most common used techniques are Critical Path Method, Program Evaluation and Review Technique (PERT), and Monte Carlo simulation. Recently, in (1965) L. Zadah introduced the fuzzy set theory, and since then fuzzy project scheduling used project scheduling. In fuzzy project scheduling, most of the problems encountered with fuzzy durations are related to the computation steps of the critical path method. More precisely, the difficulties appear in the determination of the latest starting times and slack times. By means of classical CPM, fuzzy methods compute the early times but it fail to compute the late times. Also, most fuzzy methods do not deal with overlaps and lags between activities. In this thesis, a new method, called Fuzzy Scheduling Network Method (FSNM), is developed to provide a complete timing analysis, taking into consideration overlaps and lags between activities. The developed model is implemented on commercial software using Microsoft Project and Visual Basic.Net. Compared with other techniques and other fuzzy methods, FSNM is simple and effective. |