Abstract:

The road manufacturing companies receive the project type of work successfully developed and in its implementation the "planning process" has a critical importance. This period can be assessed in two stages, as pre-planning and detailed planning. The pre-planning phase includes the activities carried out before the start of the road construction construction project. These activities include topics such as the creation of basic strategies, the calculation of the project costs, the choice of the site of the plant, the tool to be used according to the project, the methods and the provision of resources. This is an important topic that should be discussed on the choice of the site, the cost and efficiency directly affect. Road manufacturers must choose between different alternatives under contradictory criteria to determine the right location of the plant. Therefore, the problem of building location choice can be treated as a multi-critical decision-making problem. This decision-making problem also includes non-numeral data as it contains numerical data. Classical decision-making methods remain insufficient for uncertain situations that include such unnumerized variables. Therefore, to get more accurate and accurate results, the linguistic variables must be expressed in foolish numbers. In this study, a suitable building site was selected among the alternatives specified on the route for the construction of the Bilecik-Adapazarı road. The road manufacturing company has been used to eliminate the uncertainty in the oral assessments made by decision makers for the choice of the site of the factory. In order to evaluate alternatives, multiple criteria of decision-making methods have been applied together by Bully AHP and TOPSIS methods. These methods have been emphasized by the criteria with Bully AHP, and by the TOPSIS method alternatives have been classified according to their suitability. As a result of the evaluation, the criteria of the criteria were shown to be preferred from the alternative building areas.

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