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Industry Case Stories
HUGIN used for Risk Assessment
Since the year 1999 the Danish consultancy group COWI A/S has used HUGIN software to provide advanced decision support in several of its projects. In particular, HUGIN has been used for risk assessment of the decommissioning options related to the removal of offshore production facilities on a number of projects.
HUGIN used for Mobile Network Troubleshooting
The Danish company Wirtek has chosen Hugin as the core technology in their new automation product Wirtek TheCureTM, to be used for troubleshooting in mobile networks.
Order Production - A Framework for Prediction of Parts Demand
This case outlines how Bayesian network technology can be applied to the task of parts demand prediction in relation to production. The case considers the application of Bayesian networks to predict the demand for parts when items, articles, or elements are produced based on customer requests rather than production in series. The problem domain used here is order based production of cars, but could be any other product produced on the basis of customer requests. The ability to efficiently predict the demand for parts is, for instance, useful for reducing storage, can lead to faster response and shorter production time.
ABB Industrial IT Platform supports Bayesian Networks
ABB has with its customers from process industries, collaborated with Hugin Expert A/S on a Research and Development project targeting the development of a methodology for root cause analysis (RCA) and decision support on process operation.
Grundfos buys Advisor tool for optimization of production line processes
In November 2004 Grundfos signed a contract with Hugin Expert A/S and Dezide ApS to buy the software solution Advisor for optimization of production line processes in Grundfos Electronics. Grundfos Electronics produces controllers for Grundfos motors and pumps.
ADVOCATE II - Jump into Intelligent Robotics
As Autonomous Vehicles are currently undergoing a transition from a research tool to real application, they are expected to work more reliably and safely. There are additional requirements for the design and operation of such vehicles in terms of fault-detection and -recovery and real autonomy (adaptability to unforeseen situations).
Controle System - How to Increase Reliability of Unmanned Underwater Vehicles
Unmanned Underwater Vehicles (UUVs) need to become more and more intelligent to avoid inopportune mission abortion and to perform more complex operations. ADVOCATE introduces artificial intelligence for diagnosis, recovery and re-planning, by merging different techniques into UUVs. To avoid too specific non-reusable developments, ADVICATE is based on a distributed architecture (CORBA norm), and a generic communication protocol between the different modules.