Integrated fuzzy AHP and gray relational analysis model: Example of machinery equipment selection in the construction industry

Although the construction sector has undergone great changes in the fields of developing technology and mechanization in Turkey as well as in the world, manpower has always remained a key role. Machine equipment selection is of great importance in large and medium-sized projects; truck, grader, dozer, concrete pump, excavator, mobile crane, concrete mixer, tower crane, etc. Choosing and supplying construction machines used in many construction sectors are among the issues that need to be done meticulously. It will be possible to see the maximum and minimum benefits and burdens by applying the best method to be chosen at the stage of decision. When a business in the construction industry decides to procure equipment and machinery, the process they are in becomes a problem. From this point of view, in this study, it is aimed to determine the most suitable alternative by determining the model that will minimize the margin of error, in which the companies operating in the construction sector can use the resources they have at the maximum level in the selection of machinery and equipment. For this purpose, Fuzzy AHP (FAHP) and Gray Relational Analysis (GRA) methods from Multi-Criteria Decision Making (MCDM) methods were used. As a result, the most suitable machinery and equipment selection was made for the enterprises.