What are the 5 lessons learned in using O.E.E. as an operational KPI?
Implementing O.E.E. as a performance KPI does not always happen smoothly. We summarise five lessons learned from recent Operational Excellence projects.
Partnership between Minitab and Stanwick Management Consultants marks powerful synergy of statistical expertise and business advice
Stanwick is pleased to announce a strategic partnership with Minitab (www.minitab.com), the leading provider of statistical software th
The future of manufacturing in Western Europe
Jeffrey R. Immelt, CEO of General Electric, reflects on the future of manufacturing in the United States in the March 2012 Harvard Business Review magazine.
Current trends in Process Excellence
Process excellence trends teach us that there is currently more focus on speed and time reduction.
Operational Excellence as the backbone for a company of the future
The manufacturing industry is migrating away from Flanders.
Proces Improvement Team at Lotus Bakeries in Oostakker
The tilting of mini-frangipanes at a specific location on the production line is a problem that has been known for a long time.
Thanks to Industry 4.0 towards 5S 2.0?
5S, for many the basis of Lean Manufacturing thinking, for others just a way to keep their desk or workplace clean.
Stanwick Leaders Network - Digital Transformation with Geert Martens (Duval Union Consulting)
Twice a year, Stanwick brings its clients together around a specific theme.
The times, they are a-changing
Come gather ’round people
Wherever you roam
And admit that the waters
Around you have grown
Industry 4.0 - threat or opportunity
On Wednesday 22 August, Mediaplanet organised a panel discussion on Industry 4.0 (or also the fourth industrial revolution).
Rf-Technologies - Factory of the future 2019
Our client, Rf-Technologies, designer and manufacturer of innovative solutions for passive fire protection, has received the coveted Factory of the Future
Design of Experiments - Innovation requires an experimental mindset
Design of Experiments (DoE) is a methodology for obtaining maximum information about the effects and interactions of process parameters on the outputs we are interested in, using as few trials as…