Alshboul, O (2019) Multi-objective optimization for heavy earthmoving construction equipment management based on time, cost, and pollutant emissions. PhD thesis, University of Central Florida, USA.
Abstract
Earthmoving activity is considered a significant activity in the construction project. The cost of earthmoving activity in the construction projects in some cases reaches about 30% of the overall cost of the project. Moreover, heavy equipment selection needs to be utilized in this activity, such as trucks and excavators. Such equipment emits a huge amount of carbon that has a negative effect on environmental dimensions. A mathematical model to optimize all design variables (i.e., capacity, number, and speed) related to this equipment is urgently required to prevent these negative impacts. The proposed model offers a genetic algorithm-based optimization technique for earthmoving activity. The model has four main phases: (1) define all related decision variables for earthmoving equipment, (2) detect all related constraints that impact the optimization model, (3) derive the mathematical optimization model, and (4) apply the multi-objective genetic algorithms. The optimization approach is utilized to minimize the cost and duration of the earthmoving activity, along with reducing the carbon emissions and fuel consumption. A case study is applied to test and validate the addressed model. Optimization outputs have proven the model efficiency in saving substantial cost and time compared to the actual results. The results of the case study show that the innovative and original contribution of the created mathematical optimization model. These unique and new competencies are anticipated to support contractors and construction management engineers to minimize time and cost associated with earthmoving activities.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Tatari, O |
| Uncontrolled Keywords: | carbon emissions; duration; genetic algorithms; optimization; construction equipment; equipment; earthmoving; equipment selection; case study; construction project |
| Index terms: | engineer, carbon emission, case study, construction equipment, equipment selection, optimization technique, efficiency, dimension, duration, earthmoving, multi-objective optimization, mathematical model, genetic algorithm, fuel consumption, pollutant, construction project |
| Subjects: | mathematical modelling, profession, data collection methods, health monitoring assessment and metrics, energy systems, performance management, construction equipment, procurement capability, project controls, environmental health, climate science, construction operations, algorithms, production management |
| Topics: | Digital Applications, Site Management, Time Control, Research Practice, Plant and Equipment, Roles and Professions, Supply Chain Management, Quality Management, Project Management, Health and Safety, Sustainability |
| Descriptive scope: | 4 PCEA |
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