Simulation-based multi-objective optimization model for machinery allocation in shallow foundation

Earthworks in construction projects are performed in the early stages in construction and in most construction projects, earthworks are considered very costly. Project managers find difficulties in finishing solutions to minimize the time & cost of earthworks in construction projects. To assist project managers in decision making, this paper will introduce a simulation-based model to optimize the earthworks machines based on their productivity rates. Previous attempts to solve this issue resulted in finding the optimal number of machines that needs to be allocated, without taking into consideration the fluctuation of productivity rates of the machines during the execution stage; as well as previous models were applied during the planning phase of the project only. This paper will use a Multi-Objective Optimization Model that will minimize the duration and cost of the earthworks process by using multi-objective genetic algorithms that can be applied during both the planning and execution phase.