Fraunhofer CML

  • Booth: 304

Innovating the Maritime Sector.

The Fraunhofer-Gesellschaft is the world's leading organisation for application-oriented research. Projects are carried out independently and objectively - from analysis via evaluation to realisation.

The Fraunhofer Center for Maritime Logistics and Services CML develops innovative solutions for the maritime sector and the maritime supply chain. We support companies and institutions from shipping, port management and logistics in initiating and implementing future-oriented technologies and processes.

Starting from everyday challenges, our interdisciplinary teams of engineers, economists, mathematicians, computer scientists and navigators develop customised solutions for private and public clients. In our four research fields of Maritime Logistics, Port, Shipping and Autonomous Maritime Systems, we transfer the latest scientific findings and the results of our diverse research activities into practice-oriented applications. The focus is on solutions for end-to-end digitalisation and process automation, service concepts and AI-supported data evaluation, as well as sustainable shipping.


    SCEDAS® is a decision support system which assists the planner to calculate detailed work schedules for every seaman and seawoman.

  • We know crew scheduling: Collect. Analyze. Optimize.

    With the SCEDAS® software suite, you benefit from a crewing solution that has proven itself over many years not only in practice from the container to the cruise industry, but also in application areas beyond the maritime domain.

    SCEDAS offers individual support for personnel deployment by determining smartly optimized, detailed crew demand and deployment plans. It offers decision-making support for strategic management decisions as well as for dynamic crew scheduling onboard. Task-based time tracking onboard the vessels creates the required data foundation. This allows insightful data analyses as well as company-specific configuration of the SCEDAS scheduling algorithms.

    SCEDAS’ approach to workforce planning increases the ability to plan crew schedules, minimizes incompliance to rest regulations and thus increases the safety of ship operation. Its solutions create transparency within the company and provide a data-driven basis of discussion, which guarantees the quality requirements of customers and reduces costs at the same time.

    SCEDAS Office – Calculating crew demands for any ship on any voyage

    The planning tool SCEDAS Office supports ship managers at predicting the crew demand for a ship’s upcoming voyage. For any ship with any itinerary, SCEDAS® calculates the minimum crew complement that is necessary to meet internal or legal requirements as well as maintenance targets. SCEDAS computes the workload along the voyage and proposes a detailed work schedule. It considers crew demand due to shipboard navigation, ship operations as well as maintenance. The planning tool provides decision-making support for strategic management decisions. It facilitates anticipatory crew deployment in compliance with regulations and creates transparency for crewing decisions.

    SCEDAS Onboard – Calculating dynamic work schedules for more compliance onboard

    The planning tool SCEDAS Onboard supports the crew onboard a vessel with work schedules that minimize incompliance with rest regulations or maintenance targets. In case of any voyage updates or shortfall of staff, SCEDAS reschedules at the click of a button. The work schedules respect the crew’s past work hours. This way, SCEDAS relieves overworked crew members and decreases the risk to violate rest regulations. It is also possible to integrate SCEDAS with the onboard planned maintenance system. This way, upcoming maintenance procedures can be integrated into the work schedule.

    SCEDAS Timekeeper – A data analysis system for the work processes onboard

    The solid foundation for any optimization is structured data. In addition to the required work hour documentation, SCEDAS Timekeeper captures the work process onboard the vessels. The task-based time tracking establishes a database on navigational, operational and maintenance tasks and their executions. The structured data paves the way for insightful analyses. SCEDAS Timekeeper provides insights into job profiles, workload distributions, the vessel’s maintenance status as well as incompliance incidents to rest regulations.

    SCEDAS Voyage Management – Voyage data structures for planning coordination

    In a shipping company, a lot of planning revolves around when which ports are to be called and which operations are planned. The responsibilities usually lie in different departments of the company. Coordinating these plans is a complex communication task, both between departments as well as between ship and company. Challenges are many different systems and processes: e-mails, Excel lists with different structures, telephone calls, personal conversations or reporting from the ship. This easily leads to misunderstandings. SCEDAS offers a data structure for the entire voyage, which facilitates the information exchange and simplifies the coordination of individual plans.

    SCEDAS Fleet Planning – Optimized crew deployment across the fleet

    SCEDAS Fleet Planning is a software application which creates a long-term and optimized crew schedule for the whole fleet (in general for one year). It calculates the contract periods for all positions and optimizes the seafarer deployment across the contracts. The tool provides the following main functionalities:

    • Adjustability of planning parameters: This includes the individual setting of specific planning parameters, the activation of scheduling rules as well as the weighting of assessment criteria for a crew schedule.
    • Visualization: Main elements of the visualization are relief plans (position and seafarer view) and views on the fulfillment of experience requirements (i.e. rank, company, ship type).
    • Different analysis options: The assessment criteria for a plan (i.e. experience times, crew change costs) can be analyzed in different aggregation levels (whole fleet, ship type, ship class).