Besides focusing on continuously improving their products Geesinknorba also focus on continuously improving their selves as organization as well. They successfully implemented a new solution powered by Nimble institute en Bizagi’ s BPMS software in order to build smart manufacturing in smart units. The outcome of this 8 month project brings Geesinknorba in a unique position in the market. They can now deal in a very professional way with the customer needs. Their growing and changing needs can now be considered and late adjustments are allowed. The result of this project is a decreased lead time, a production efficiency by 45% and improved production output of 40%.
In order to make our world a better and more sustainable place to live Geesinknorba delivers highly advanced waste management products and services. geesinknorba.com
“This will bring Geesinknorba to a unique position in the market”. David Arfmann – COO
In the factory of Geesinknorba 99% of the units are customized. They are trying to always meet the customer needs. This dramatically increase the complexity in the manufacturing process since they have around 110 unit as work in progress. The need was to create a match between the customer needs, product needs with their operating systems and to have strict control over the production line. Geesinknorba was looking for intelligent, good processes to match leadtimes and functionality.
“Navigating your change, combining the power of people, processes and technology. That’s Nimblicity”
After just 8 months they are proud of the remarkable results. They have now decreased the lead time, increased efficiency by 45% and output by 40%. This is exiting for the customers, it delivers them more flexibility to get their highly customized product in a very efficient way.
Nimble institute worked with the team to analyze the current processes and was a catalyst for creative design thinking to ensure to create the best design, optimize and automate the processes with the low coding BPMS software from Bizagi. Resulting in connecting the production systems though a single platform with access anywhere. Now the smart units can adjust the routings they have, start simultaneously different production steps at the same time. It considers the supply side, lead time and capacity and will always take the best decision based on machine learning.
Increased output by 40%
Increased efficiencey by 45%