COMPARISON OF CURLI AND FUCA METHODS IN EXCAVATOR SELECTION

Excavators are considered an indispensable component on construction sites for performing heavy-duty tasks, reducing labor for workers and speeding up construction progress. Therefore, the selection of an excavator plays a crucial role in the construction of projects involving soil, rock, coal, etc. Excavators come in different forms, of which, based on the wheel type, there are two main categories: wheeled excavators and tracked excavators. Within each type of wheeled or tracked excavator, there are various models on the market with different technical specifications. For example, in wheeled excavators, parameters such as bucket capacity, maximum travel speed, energy consumption, cost, etc., will vary. Similarly, for tracked excavators, the parameters of each machine, such as maximum reach, bucket cylinder digging force, arm cylinder digging force, cost, etc., will also differ. This makes the selection of a machine a complex decision due to the need to consider numerous criteria for each type of machine. The objective of this study is to compare two methods, CURLI (Collaborative Unbiased Rank List Integration) and FUCA (Faire Un Choix Adéquat (in French) - Make an Adequate Choice), in the selection of excavators. Wheeled excavators from DOOSAN and tracked excavators from HYUNDAI were considered in this study. For each type, four different options were selected for ranking. The CURLI and FUCA methods were used to rank the options within each excavator type. This study found that, in both cases, the rankings of the options were identical when using both methods. The best wheeled excavator from DOOSAN and the best tracked excavator from HYUNDAI were identified in this study. This discovery is significant in helping customers (decision-makers) have solid confidence in choosing either the CURLI or FUCA method for excavator selection.