• ISA provides technical resources and standards to help industrial automation professionals advance their careers and the field. We enable automation professionals worldwide to solve problems and enhance their skills by bringing people together to create new technologies and share best practices with future automation professionals.
    • Industry Insights

  • We attract over 140,000 unique automation professionals monthly, making us the premier online content provider and the only dedicated electronic magazine in the automation industry.

    Monthly Magazine

    • More things to read

    Back
    Back
  • M logo for Automation.com Monthly. Link to current issue.

Researchers find beeline to better production

31 August, 2006
2 min read
WELSH scientists are working to send productivity rates buzzing by studying the behavior of honey bees. Researchers at Cardiff University 's Manufacturing Engineering Centre have devised a new mathematical algorithm after observing bees foraging for nectar. This calculation, the researchers claim, will enable companies to maximize results by changing basic elements of their processes.

August 31, 2006 - WELSH scientists are working to send productivity rates buzzing by studying the behaviour of honey bees. Researchers at Cardiff University 's Manufacturing Engineering Centre have devised a new mathematical algorithm after observing the "waggle dance" of bees foraging for nectar. This calculation, the researchers claim, will enable companies to maximise results by changing basic elements of their processes. When a bee finds a source of nectar, it returns to the hive and performs a dance to show other bees the direction and distance of the flower patch and how plentiful it is. The other workers then decide how many of them will fly off to find the new source, depending on its distance and quality.

The MEC team's Bees Algorithm mimics this behavior. A computer can be set up to calculate the results of different settings on a manufacturing process. More computing power is then devoted to searching around the most successful settings, in the same way as more bees are sent to the most promising flower patches. The algorithm has been shown to cope with up to 3,000 variables and is faster than existing calculations. By entering basic data about all or part of a company - or just one machine - the MEC team say they can calculate the best outcome for a wide range of business processes.

They have already used the Bees Algorithm to work out the most efficient settings on welding systems and the design of springs. The algorithm was unveiled by PhD student Afshin Ghanbarzadeh and his team at the recent internet-based Innovative Production and Machines Conference hosted by MEC, as part of its work with the EU-funded Network of Excellence in this field. The team's research was one of 110 papers presented to 4,000 delegates from 73 countries at the conference, which was held entirely on-line. MEC director Professor DT Pham said, "We had some highly imaginative ideas at the conference and this is one of the most innovative.

"This algorithm can help business work out the most effective way to set up their machines, and save them a lot of money through running their processes as efficiently as possible." The MEC employs around 100 people and is growing. It has worked with industrial partners on more than 3,000 projects in the last nine years and is the first autonomous research centre created by Cardiff University .

Advertisement

Trending Articles

Advertisement

Related Articles

View all Articles and News
Advertisement
Advertisement