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Optimization of Project Duration in Uncertain Condition through Fuzzy Logic Approach

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  • Animesh Pal
  • Anindita Pal

Abstract

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.

Suggested Citation

  • Animesh Pal & Anindita Pal, 2018. "Optimization of Project Duration in Uncertain Condition through Fuzzy Logic Approach," Int J Sci Res Civil Engg, International Journal of Scientific Research in Civil Engineering, vol. 2(4), pages 41-50, August.
    • Handle: RePEc:jcq:ijsrce:v2:y2018:i4:id:120
    DOI: 10.32628/IJSRCE18243
    Note: Article URL: https://ijsrce.com/home/article/view/IJSRCE18243
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