Optimization of Project Duration in Uncertain Condition through Fuzzy Logic Approach

Authors(2) :-Animesh Pal, Anindita Pal

Construction industry is very complex system and needs to adapt most systematic as well as rational approach to optimize project duration to complete undertaken projects within stipulated time, budget and required quality. In process of optimization, a large number of interactive variables of the project creates problem, so need to determined there impact to reach any decision. Linear programming model help to optimize decision making in rigid environment, but in real working environment where goals, constrains, consequence of action are not known precisely, uncertainty play major factors toward project success and performance, need certain degree of flexibility to be incorporated in decision making model to optimize project duration. This paper demonstrates with fuzzy linear programming model to incorporate flexibility in project scheduling with a case study.

Authors and Affiliations

Animesh Pal
Civil Engineering, Aliah University, Kolkata, West Bengal, India
Anindita Pal
Computer Science & Engineering, Dream Institute of Technology, Kolkata, West Bengal, India

Fuzzy set, Linear Programming model, Fuzzy linear Programming, Optimization in Uncertain Environment.

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Publication Details

Published in : Volume 2 | Issue 4 | 2018
Date of Publication : 2018-08-20
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 41-50
Manuscript Number : IJSRCE18243
Publisher : Technoscience Academy

ISSN : 2456-6667

Cite This Article :

Animesh Pal, Anindita Pal, "Optimization of Project Duration in Uncertain Condition through Fuzzy Logic Approach", International Journal of Scientific Research in Civil Engineering (IJSRCE), ISSN : 2456-6667, Volume 2, Issue 4, pp.41-50, .2018
URL : https://ijsrce.com/IJSRCE18243

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