Schedule Optimization for Cash Flow Management of Owner Portfolios

Ashraf Mohamed El Azouni, Ali Fares , Sameh Al-Shihabi*, Mubarak Al-Alawi

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

Abstract

Although new infrastructure has been widespread in many countries, the owners' main obstacle to complete new projects has been the cash flow problems. If cash flow problems are not appropriately addressed, projects will undoubtedly fail. The current study’s goal is to help portfolio owners to avoid cash flow problems and achieve portfolios’ goals. A modified finance-based scheduling method is proposed to optimize project schedules within owners' portfolios using genetic algorithms (GA). Finance-based scheduling helps owners to control portfolios’ cash flow by balancing contractors’ payouts during the fiscal years with the available budget amounts. The random key (RK) representation system of GA is used effectively to implement finance-based scheduling for multiple projects simultaneously.
Original languageEnglish
Number of pages8
Publication statusPublished - 2023
Event8th International Conference on Civil, Structural and Transportation Engineering - Ottawa, Canada
Duration: Jun 4 2023Jun 6 2023

Conference

Conference8th International Conference on Civil, Structural and Transportation Engineering
Abbreviated titleICCSTE’23
Country/TerritoryCanada
CityOttawa
Period6/4/236/6/23

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