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GPS (Global Positioning Systems), which have been successfully used to locate and track assets in open areas, cannot show the same performance in closed environments. In cases where GPS cannot provide accurate enough data indoors, indoor positioning systems (IMKS) are being developed. These technologies provide services based on Infrared, Ultrasonic sound and Radio frequency based technologies. Each of indoor positioning technologies suited to be used for specific purposes, although the areas of the shipyard in difficult conditions like all living and inanimate objects required for positioning and monitoring the accuracy, reliability, cost, energy consumption, scalability, and developed a technology that allows other requests could not be convenient. Some technologies perform very well in Energy consumption, while others may be better in terms of coverage area. Therefore, the choice of indoor positioning technology comes across as a multi-purpose decision problem. Among the IMK technologies for shipyard sites with heavy and large medal blocks and other signal interrupting obstacles, it seems that radio frequency-based systems may be more suitable from the point of view of the shipyard site than other technologies. Therefore, in this article, a multi-criteria decision model is being developed to determine which radio-based technologies will be used as Indoor Positioning Technology in Shipyards, and the problem is being solved with Fuzzy MULTIMOORA and Fuzzy COPRAS Methods. An application is being carried out at the SEDEF shipyard.

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Digitalization of the shipyard environment is a challenging problem, and also it is necessary for competing the international ship manufacturers. Thus, this study introduced a real-time accurate positioning system that is an indispensable part of a digital manufacturing system. The system implementation and measurements took place in Sedef Shipyard, the largest shipbuilding facility in Turkey. Since the shipyard includes indoor and outdoor environments, Bluetooth Low Energy (BLE) systems provide the best solution for locating the staff. The most challenging problem is to determine the positions in the metallic surroundings. The constructed system solves this problem by placing gateways and sensors at essential locations and using a mesh network. With the designed user interface, the position of the staff can be monitored accurately in real time, and reports can be generated.