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An Optimization Model for Dynamic Multi-Project Environment in Construction
This paper introduces a mathematical model and an optimizer to optimize dynamic variables of construction operations in multi-project environment. Vulnerable nature of construction schedules, resource limitations, multiple objectives, project uncertainties, business priorities and other inevitable constraints make the operations very challenging. The ultimate outcome of the model is to improve construction business efficiency and productivity in terms of profitability and resource management. The model consists of two main components; theoretical model and an optimizer. The first part is the formulation of the theoretical model considering all the multi-objective variables using mathematical descriptions, assumptions and equations. The second part is the solution using special purpose discrete-event simulation and genetic algorithms (GA) . An example with real life project data is presented to demonstrate the application of the proposed model. The results offer the best solution for conflicting objectives of minimizing multi-project schedules, maximizing resource utilization and maximizing the profit while satisfying all the imposed constraints.
An Optimization Model for Dynamic Multi-Project Environment in Construction
This paper introduces a mathematical model and an optimizer to optimize dynamic variables of construction operations in multi-project environment. Vulnerable nature of construction schedules, resource limitations, multiple objectives, project uncertainties, business priorities and other inevitable constraints make the operations very challenging. The ultimate outcome of the model is to improve construction business efficiency and productivity in terms of profitability and resource management. The model consists of two main components; theoretical model and an optimizer. The first part is the formulation of the theoretical model considering all the multi-objective variables using mathematical descriptions, assumptions and equations. The second part is the solution using special purpose discrete-event simulation and genetic algorithms (GA) . An example with real life project data is presented to demonstrate the application of the proposed model. The results offer the best solution for conflicting objectives of minimizing multi-project schedules, maximizing resource utilization and maximizing the profit while satisfying all the imposed constraints.
An Optimization Model for Dynamic Multi-Project Environment in Construction
Hossain, Lokman (author) / Ruwanpura, Janaka (author)
Construction Research Congress 2010 ; 2010 ; Banff, Alberta, Canada
Construction Research Congress 2010 ; 277-287
2010-05-04
Conference paper
Electronic Resource
English
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