Project Scheduling Using Fuzzy Logic Approach to Critical Path Analysis

Authors

  • Galal H.Senussi Mechanical Engineering Department, Faculty of Engineering, Omar Al-Mokhtar University, El-Baida, Libya.
  • Muamar M. Benisa Mechanical and Industrial Engineering Department, Faculty of Engineering Alasmarya Islamic University, Zilten., Libya
  • Hitem A. Aswihli Mechanical and Industrial Engineering Department, Faculty of Engineering Alasmarya Islamic University, Zilten., Libya
  • Omar M. Elmabruk 4Industrial and Manufacturing Systems Engineering Department, Faculty of Engineering, Benghazi University, Benghazi,libya

Abstract

The aim of this study is to introduce an approach that utilizes a fuzzy logic-based methodology to reduce the impact of uncertainties on the activities of the projects.  In this study, the approach presents a method for finding accurate project estimation activities time as compared with the estimation of time of project activities by using the Project Evaluation and Review Technique (PERT).  The comparison reveals the proposed method significantly reduced the impact of uncertainties on obtained results to specify the project critical path which led to an improvement in the estimated project completion time.

References

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Igor KREJČÍ at el, - Discussion with the paper ‘Project costs planning in the conditions of uncertainty - 29th May 2014.

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Md. Mijanoor Rahman at el, - Fuzzy Numerical Results Derived From Crashing CPM/PERT Networks of Padma Bridge in Bangladesh - 9 December 2017.

Farhad Habibia at el, - Using fuzzy logic to improve the project time and cost estimation based on Project Evaluation and Review Technique (PERT) – 4-April-2018.

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Published

2022-07-30

How to Cite

Senussi, G. H., Benisa, M. M., Aswihli, H. A., & Elmabruk , O. M. (2022). Project Scheduling Using Fuzzy Logic Approach to Critical Path Analysis. Journal of Academic Research, 22, 7–12. Retrieved from https://lam-journal.ly/index.php/jar/article/view/468

Issue

Vol. 22 (2022)

Section

العلوم الهندسية والتطبيقية

License

Copyright (c) 2022 Galal H. Senussi، Muamar M. Benisa، Hitem A. Aswihli، Omar M. Elmabruk

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.