Identification and Prioritization of Industry ۴.۰ Technologies in Maritime Industries Using Best-Worst Method (BWM)

The Fourth Industrial Revolution (Industry ۴.۰) has provided significant opportunities to improve performance and productivity in maritime industries through emerging technologies. However, the multiplicity and diversity of these technologies have turned their selection and prioritization into a fundamental challenge for decision-makers. This research study aims to identify and prioritize key Industry ۴.۰ technologies in maritime industries. Through conducting a systematic literature review and interviews with ۱۵ industry experts, ۵۹ applications within ۱۲ key technologies were identified. Then, using the Best-Worst Method (BWM) of multi-criteria decision-making, the relative importance of technologies and their applications were determined. The results showed that Digital Twin Systems with a weight of ۲۰.۰۲ is the most important technology, followed by Robotics and Automation with a weight of ۱۶.۱۱, and Artificial Intelligence (AI) and Machine Learning with a weight of ۱۲.۰۸. Among the applications, operation optimization through scenario testing, autonomous vehicle guidance in port areas, and staff training with virtual models obtained the highest priorities. By providing a systematic framework for technology prioritization, this research can assist decision-makers in maritime industry to allocate optimal resources and reduce investment risks.

Keywords:

artificial intelligence , Digital Twin Systems , Fourth Industrial Revolution , Maritime Industries , Robotics and Automation