Fuzzy dynamic programming for optimized scheduling of repetitive construction projects

I. Bakry, O. Moselhi, Tarek Zayed

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

8 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 languageEnglish
Title of host publicationProceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013
Pages1172-1176
Number of pages5
DOIs
Publication statusPublished - 31 Oct 2013
Externally publishedYes
Event9th Joint World Congress on Fuzzy Systems and NAFIPS Annual Meeting, IFSA/NAFIPS 2013 - Edmonton, AB, Canada
Duration: 24 Jun 201328 Jun 2013

Conference

Conference9th Joint World Congress on Fuzzy Systems and NAFIPS Annual Meeting, IFSA/NAFIPS 2013
Country/TerritoryCanada
CityEdmonton, AB
Period24/06/1328/06/13

ASJC Scopus subject areas

  • Computer Networks and Communications

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