A ship’s communication system serves as a vital infrastructure to host real-time applications,facilitating the transmission of crucial data, including sensor readings and control commands. Theexpansive dimensions of a ship necessitate a complex network of cables in an analogue hardwiredsetup, stretching from the bridge to the machinery. However, this reliance on multiple cables introduces logistical challenges and vulnerabilities within the system architecture. This thesis establishesa systematic approach for transitioning ship control systems from traditional analogue hardwiredconfigurations to more efficient Controller Area Network (CAN) bus-based systems. CAN is amulti-master communication protocol that enables multiple controllers to communicate with eachother without a host computer, making it particularly suitable for complex environments. While alternative networking options such as Ethernet or wireless networks are available, CAN emerges as acost-effective and robust communication solution suited for maritime environments. The transitionto CAN-based systems not only prolongs the ship’s operational lifespan but can also enhance fuelefficiency and reduce environmental impact. Ensuring a seamless transition requires careful consideration of safety and functionality equivalent to legacy systems. Extensive research into suitablecommunication buses, CAN protocols, and scheduling algorithms is essential. By exploring Controller Area Network with Flexible Data-Rate (CAN FD) as a complement to CAN 2.0, the tool offersmultiple solutions, with the optimal choice contingent upon various parameters. A comprehensive tool has been developed to facilitate the safe migration from hardwired systems to CAN-basedsolutions. This tool enables the mapping of signals to messages, priority assignment using various algorithms, including Audsley’s optimal priority assignment algorithm, and real-time analysis.This work will assist in the transition by presenting diverse solutions, clearly outlining deadlines,identifying potential misses, and recommending the most effective combination of methods.