Selection of marine type air compressor by using fuzzy VIKOR methodology

Abstract

Ships have to maintain many auxiliary machineries with high power consumption, and these machineries generally run continuously for long hours. One of the auxiliary machineries that consume a lot of power in ships is the air compressor. These air compressors are especially important as they are used at the start of the main engine and generator diesel engines. Therefore, a suitable selection of these compressors is vital, in terms of technical requirement, energy efficiency, and cost effectiveness. The main focus of this study is to decide the optimum compressor in terms of all technical and operational criteria. In this context, using the fuzzy VIKOR method, five different and worldwide known compressor brands are listed in terms of selection by evaluating seven different and important criteria. These criteria were evaluated by five experts working as technical directors in shipping companies without being informed of each other. Briefly, this study aims to assist shipping companies in choosing the optimal compressor to suit their primary operating goals, considering the navigating routes and conditions of commercial ships. We believe that it is possible to close this gap in the literature and to select the optimum compressor according to the technical and operational needs.

Research on the Safety Evaluation Method for Quayside Container Cranes Based on the Best–Worst Method–Pythagorean Fuzzy VIKOR Approach

“…Ren et al's [36] introduction of a novel multi-criteria group decision-making VIKOR method, which utilizes dual hesitant fuzzy sets, has been notably applied to partner selection, thereby enhancing decision making accuracy and reliability. Similarly, Kaya et al [37] have advanced the application of the fuzzy VIKOR method in the selection of ship air compressors, significantly improving operational safety and efficiency for shipping companies. Despite these advancements, the domain of safety evaluation for port cranes still presents gaps, which this research aims to fill by introducing a method tailored to quayside container cranes.…”

Comparative analysis of fuzzy multi-criteria decision-making methods for quality of service-based web service selection

“…Recently, many existing literature [20], [21] have applied FV in siting electric vehicle charging station, evaluation of influenza strategies, selecting marine type air compressor, assessing energy concentration, and evaluating satisfaction level of people. FV is compared to various FMCDMMs in this study to rank a QoSbased online service selection dilemma.…”