An IoT fueled DSS for MOL marine auxiliaries management

Abstract

The producers of marine auxiliaries face the challenge, that they need to adapt their middle-of-life activities to the otherwise defined and often not well communicated schedules of the ships, which are carrying their products. This paper presents both the methodological approach to a solution and its prototypical implementation in a specific use case. The solution presented is utilizing the Internet of Things (IoT) and the data that is constantly being produced by the ships through the Automatic Identification System (AIS) to help overcome this problem.