Vol. 6 (07) pp. 93-97 DOI: 10.21474/IJAR01/7340

DEVELOPING AN ANN MODEL TO SUGGESTS THE OPTIMUM TYPOLOGY FOR EFFECTIVELY MANAGING CONSTRUCTION PROJECTS.

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  • Associate Professor, College of Engineering and Technology, AASTMT, Alexandria, Egypt.
  • Lecturer, College of Engineering and Technology, AASTMT, Alexandria, Egypt.
  • M.Sc. Student, College of Engineering and Technology, AASTMT, Alexandria, Egypt.
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Abstract

This paper aims to identify and analyze the factors that really affect the project success into the construction market in addition; the paper aims to develop an ANN-based model that helps construction firms in assessing/predicting their ongoing projects? outcome. Actually, this will improve the construction industry current overall performance and increases its ability to overcome the national market competitiveness and also, enhance the company?s international reputation. The suggested ANN model is designed to be used for public building projects. It could be used to assess the success of these projects' type in terms of a degree of variation in project time - frame. The model is developed for the identification of all project typology attributes for construction projects in Egypt and Gulf Area.

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References

  1. (Russell W. Darnall and John M. Preston, 2012), ?Project management in a complex world?.
  2. (Aaron J. Shenhar and James J. Renier, 1996), ?Project Management: From Genesis to Content to Classification?.
  3. (Aaron J. Shenhar and James J. Renier, 1996), ?Improving PM: Linking Success Criteria to Project Type?.
  4. (Ellen Lau, Janet Jiahui Kong, 2006), ?Identification of constraints in construction projects to improve performance?.
  5. (A.Tarek, 2018, ?Developing an ANN Model that suggests the optimum typology for effectively manage construction projects? under rescission.

How to Cite This Article

Ahmed Ragheb, Hazem Hanafy and Eng. Ahmed Tarek. (2018); DEVELOPING AN ANN MODEL TO SUGGESTS THE OPTIMUM TYPOLOGY FOR EFFECTIVELY MANAGING CONSTRUCTION PROJECTS. , Int. J. of Adv. Res., 6 (07), 93-97, ISSN 2320-5407. DOI: https://doi.org/10.21474/IJAR01/7340

Corresponding Author

Ahmed Tarek Nafei
M.Sc. Student, College of Engineering and Technology, AASTMT, Alexandria, Egypt
Creative Commons Attribution 4.0 This work is licensed under a Creative Commons Attribution 4.0 International License.