Fuzzy dynamic programming for optimized scheduling of repetitive construction projects

I. Bakry; O. Moselhi; Tarek Zayed

doi:10.1109/IFSA-NAFIPS.2013.6608566

Fuzzy dynamic programming for optimized scheduling of repetitive construction projects

I. Bakry, O. Moselhi, Tarek Zayed

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

7 Citations (Scopus)

Abstract

Uncertainty is an inherent characteristic of construction projects. Neglecting uncertainties associated with different input parameters in the planning stage could well lead to misleading and unrealistic project schedules. This research presents an algorithm for optimized scheduling of repetitive construction projects under uncertainty. The research utilizes fuzzy set theory to model uncertainties associated with different input parameters. It employs a dynamic programming algorithm that is especially tailored to accept input for different variables, perform all necessary computations and successfully deliver output, all in terms of fuzzy numbers. The algorithm has the ability to identify the optimum crew formation that would yield project least cost or project shortest duration according to the user preferences. A case study is drawn from literature and analyzed to demonstrate the algorithm's capabilities and to allow comparison of results to those generated using previous techniques.

Original language	English
Title of host publication	Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013
Pages	1172-1176
Number of pages	5
DOIs	https://doi.org/10.1109/IFSA-NAFIPS.2013.6608566
Publication status	Published - 31 Oct 2013
Externally published	Yes
Event	9th Joint World Congress on Fuzzy Systems and NAFIPS Annual Meeting, IFSA/NAFIPS 2013 - Edmonton, AB, Canada Duration: 24 Jun 2013 → 28 Jun 2013

Conference

Conference	9th Joint World Congress on Fuzzy Systems and NAFIPS Annual Meeting, IFSA/NAFIPS 2013
Country	Canada
City	Edmonton, AB
Period	24/06/13 → 28/06/13

ASJC Scopus subject areas

Computer Networks and Communications

More information

10.1109/IFSA-NAFIPS.2013.6608566

Scopus Link

Cite this

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title = "Fuzzy dynamic programming for optimized scheduling of repetitive construction projects",

abstract = "Uncertainty is an inherent characteristic of construction projects. Neglecting uncertainties associated with different input parameters in the planning stage could well lead to misleading and unrealistic project schedules. This research presents an algorithm for optimized scheduling of repetitive construction projects under uncertainty. The research utilizes fuzzy set theory to model uncertainties associated with different input parameters. It employs a dynamic programming algorithm that is especially tailored to accept input for different variables, perform all necessary computations and successfully deliver output, all in terms of fuzzy numbers. The algorithm has the ability to identify the optimum crew formation that would yield project least cost or project shortest duration according to the user preferences. A case study is drawn from literature and analyzed to demonstrate the algorithm's capabilities and to allow comparison of results to those generated using previous techniques.",

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Bakry, I, Moselhi, O & Zayed, T 2013, Fuzzy dynamic programming for optimized scheduling of repetitive construction projects. in Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013., 6608566, pp. 1172-1176, 9th Joint World Congress on Fuzzy Systems and NAFIPS Annual Meeting, IFSA/NAFIPS 2013, Edmonton, AB, Canada, 24/06/13. https://doi.org/10.1109/IFSA-NAFIPS.2013.6608566

Fuzzy dynamic programming for optimized scheduling of repetitive construction projects. / Bakry, I.; Moselhi, O.; Zayed, Tarek.

Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013. 2013. p. 1172-1176 6608566.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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