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Project scheduling under uncertainty using fuzzy modelling and solving techniques
Abstract:

In the real world, projects are subject to numerous uncertainties at different levels of planning. Fuzzy project scheduling is one of the approaches that deal with uncertainties in project scheduling problem. In this paper, we provide a new technique that keeps uncertainty at all steps of the modelling and solving procedure by considering a fuzzy modelling of the workload inspired from the fuzzy/ possibilistic approach. Based on this modelling, two project scheduling techniques, Resource Con- strained Scheduling and Resource Leveling, are considered and generalized to handle fuzzy parameters. We refer to these problems as the Fuzzy Resource Constrained Project Scheduling Problem (FRCPSP) and the Fuzzy Resource Leveling Problem (FRLP). A Greedy Algorithm and a Genetic Algorithm are provided to solve FRCPSP and FRLP respectively, and are applied to civil helicopter maintenance within the framework of a French industrial project called Helimaintenance

Keywords: Fuzzy/possibilistic approach Fuzzy workload Project scheduling Genetic Algorithm Parallel SGS Helicopters maintenance
Author(s): .
Source: Engineering Applications of Artificial Intelligence 26 (2013) 135–149
Subject: مدیریت پروژه
Category: مقاله مجله
Release Date: 2013
No of Pages: 15
Price(Tomans): 0
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