Fuzzy Mathematical Model For Optimizing Success Criteria Of Projects: A Project Management Application

Mohammad Sammany¹ , Ahmad Steef² , Nedaa Agami³ , T. Medhat⁴

Section:Research Paper, Product Type: Journal-Paper
Vol.8 , Issue.5 , pp.77-83, Oct-2020

Online published on Oct 31, 2020

Copyright © Mohammad Sammany, Ahmad Steef, Nedaa Agami, T. Medhat . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
It is well known over the recent years that measuring the success of projects under the umbrella of project management is inextricably linked with the associated cost, time, and quality. Most of the previous researches in the field assigned a separate mathematical model for each criterion, then numerical methods or search techniques were applied to obtain the optimal trade-off between the three criteria. However in this paper, the problem was addressed by linear multi-objective optimization using only one fuzzy mathematical model. The three criteria were merged in a single non-linear membership function to find the optimal trade-off. Finally, the proposed model is tested and validated using numerical examples.

Key-Words / Index Term :
Project Management; Criteria Optimization; Fuzzy Mathematical Model

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