OPUS Stowage is a comprehensive planning solution that analyzes stowage pattern, optimizes planning environment and maximizes loading capacity. OPUS Stowage Prime is a next-generation engine that automatically generates plans based on years of stowage experience & data pattern which has been gathered and analyzed by experts. Logical and systematic decision-making process ensures consistent planning which brings stability and productivity.


  • Handle Special Cargo Easily
    It takes a considerable time and significant workforce to input special cargo data into the stowage system manually. OPUS Stowage adopts new CBF (Container Booking forecast) format to automate the manual function to significantly save planning time for special cargo. New CBF format covers all types of special cargo such as Reefer, Dangerous Goods, Break Bulk and Awkward Cargo. Special cargo information (Container No., DG class, Reefer temperature, Etc. in new CBF format is reflected on the stowage system automatically without any manual input. Exchanging special cargo data by New CBF format between alliance shipping companies can be another competitive power for companies.
  • Prevent Long Hatch
    Long-hatch increases port time and causes delays in vessel departures. OPUS Stowage calculates the total workload, number of STS Crane and its productivity. It then distributes the workload to all equipments properly to prevent long-hatch and reduce total work time. Regarding these particular terminal characteristics, optimized stowage planning can save vessel operating cost by shortening berthing days.
  • Maximize Space Utilization
    OPUS Stowage Optimization Engine prevents dead space occurrence in the stowage plan. More cargos can be loaded to the vessel because of optimized weight distribution in consideration of vessel stability. Optimized weight distribution by Optimization Engine can maximize vessel space and attain higher profit to shipping companies.
  • Reduce Re-Handling
    Planned re-handling is a normal procedure in terminal operations, but unplanned re-handling causes additional cost and time delay. This unexpected re-handling can be systematically eliminated by accurate and optimized calculation of OPUS Stowage. Consequently, working time and cost is decreased as unplanned re-handling work is minimized.
  • Provide Statistical Report
    OPUS Stowage uses a centralized database system to store all stowage data and share the information in real-time. Many statistical reports support a prompt decision and action for vessel & cargo operation. One million stowage files are generated from 100 vessels for ten years. If these stowage files are not statistically analyzed then these files become meaningless information.
    POL/POD Average Weight by Type/Size
    POL/POD Full/Empty In/Out-bound Moves/TEU/Weight
    POL/POD Reposition
    Special Cargo Patterns (DG/RF/AK/BB/Special Stowage)
    Lane/Season In/Out-bound Trend
    Weight Planning Pattern
  • Optimization Engine System
    CyberLogitec has developed its own Optimization engine to provide a suitable stowage plan for customers. It adopts calculation logic for optimization which is based on accumulated stowage experience and pattern information over twenty years. OPUS Stowage Optimization Engine is the core of stowage optimization modules in planning, space utility, vessel stability, weight distribution and ballast calculation. It also provides the most suitable location for dangerous goods and allocates workload to terminal equipments equally.
  • System
    Flexibility & ScalabilityCyberLogitec has applied a state-of-the-art technology (Java multi-tier architecture) to entire modules in OPUS Stowage to offer greater system flexibility & scalability, and to lower system maintenance costs in response to rapid changes in terminal & shipping business environments. In addition, OPUS Stowage guarantees system reliability with transaction load balancing at peak time.
  • sinoko
  • namsung
  • interasialines
  • sinotrans
  • kambara

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