Evaluation of the Effects of Industry 4.0 on the Maritime Sector With Fuzzy Ahp – Vikor Hybrid Method

Abstract

Industry 4.0 technology has affected almost every sector in the world. Maritime sector is one of them that were affected by this technology. In this study, components of the maritime sector were prioritized to find out which of them should comply with this transformation primarily. Many different criteria were taken into consideration for the solution of such problems. Therefore, multi-criteria decision-making (MCDM) methods required to solve this problem. Fuzzy AHP (Analytic Hierarchy Process) and VIKOR (VlseKriterijumska Optimizacijia I Kompromisno Resenje) hybrid method was employed for revealing the prioritization ranking for maritime sector components. A group of experts assessed and compared 22 criteria and scored them for each alternative. Proposed methodology was employed through the experts’ assessments. Results were displayed and suggestions were given for the further studies

Evaluation of constraints for investment in NOx emission technologies: case study on Greek bulk carrier owners

“…, 2022). F-AHP combined with the VIKOR method was used to evaluate Industry 4.0’s impact on the maritime sector (Mollaoglu et al. , 2022).…”

“…For data collection, linguist terms, as shown in Table 2, were applied. Using linguistic terms in decision-making is widespread (Mollaoglu et al. , 2022).…”

“…Barriers in maritime supply chains demonstrated fuzzy logic's role in managing complexities (Kashav et al, 2022). F-AHP combined with the VIKOR method was used to evaluate Industry 4.0's impact on the maritime sector (Mollaoglu et al, 2022). Other F-AHP applications are shown in ship acquisition issues (Park et al, 2018).…”

“…For data collection, linguist terms, as shown in Table 2, were applied. Using linguistic terms in decision-making is widespread (Mollaoglu et al, 2022). Following the F-AHP process, it is possible to design a hierarchical structure where each hierarchy node is compared for its significance with the other nodes (Kokang€ ul et al, 2017).…”