Abstract
Multi-Criteria Decision Making is one of the most important issues, especially when there are numerous competing criteria and alternatives to consider. There are a variety of approaches for dealing with such issues. The Analytic Hierarchy Process (AHP) is one of the most popular problem solvers for this type of problem, and it's especially useful for determining the weights of the criteria. Using decision-makers' evaluation tables, this method compares each of the criteria to each other. Furthermore, this method employs a consistency ratio to assess the consistency of decision-makers' choices. The decision maker's experience and knowledge are critical in this process. Selection of a construction vehicle (truck) alternative is discussed in this study. Four different vehicles are selected based on five criteria. The AHP approach is used to choose the best option. The results are interpreted at the end of the process.
Highlights
Many judgments are made in our day-to-day lives based on a variety of factors
This study considers a construction truck selection problem
The Analytic Hierarchy Process (AHP) method was used to solve the problem in question
Summary
Many judgments are made in our day-to-day lives based on a variety of factors. decisions can be made by assigning weights to various criteria with all weights obtained from expert groups. Multi-Criteria Decision Making (MCDM) has seen a tremendous amount of use over the last years. When there are a number of criteria (variables) in a decision-making problem, MCDM procedures are applied. The Analytic Hierarchy Process (AHP) is better suited to solving real-world decision problems since it does not reflect human thinking styles, despite the fact that the AHP's goal is to make judgments by acquiring expert information. AHP method is used in many problems in the literature such as an analysis in construction industry [3], engineering education [4], retail site selection [5], reverse logistics [6], assessment of flood hazard [7], renewable energy selection [8], solar farm site selection [9].
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