CHAPTER TWO – LITERATURE REVIEW2.1 Site Layout Planning ConceptThe site layout in every construction site which requires good planning. Proper layout of the planned site would definitely reduce construction costs and time. Before planning, you need to consider three issues. The first is to identify the temporary structures needed to support the overall operation of the site, and all temporary structures are not part of the permanent structure. The next problem is to discover the shape and physical dimensions of such structures. Finally, such facilities should be located within site boundaries or in remote areas (Tommelein et al., 1991). We can classify site layout problems into two different aspects: static problems and dynamic problems. According to Ning et al. (2010), a site layout planning without changing the available locations and structures in different construction phases are classified as static problems. While for dynamic problems, which imply the modification of the required structures and available positions in the different construction phases, we speak of dynamic problems. According to Cheng and O'Connor, (1996) an efficient layout of the temporary site can optimize the following criteria: management of materials and equipment, travel interference, need for expansion and relocation, transportation and travel distance for materials and workers and finally the traveling workforce. There are many things we need to consider for site layout and that is why site layout with good planning is necessary. While there is no fully developed method for getting the best site layout planning solutions, every effort should be made to make the template as good as possible. There are 10 guides...... half of the paper...... kind of software like CPLEX, XPRESS, OSL and GUROBI which can be used to solve MIP problems but not limited to MIP problems.LINGO is a simple software and powerful tool that can be used to solve MIP optimization problems. This software can handle tens of thousands of variables and constraints with up to a few thousand integer variables (Schrage, 2006). Wong et al. (2010) and Easa and Hossain (2008) used this software to solve MIP problems to find the global optimal solution. GUROBI is another type of solver that can handle MIP problems. Hvattum et al. (2012) studied the performance of three different types of solvers, XPRESS, CPLEX and GUROBI in terms of time used to solve BMILP problems and concluded that GUROBI is the fastest solver and provides the optimal results while XPRESS used the longest long to get the solution result and the solution is not as good as that of GUROBI.