Huw Williams Consulting
Williams is a UK-based business consultant offering a wide range of
skills to all types of businesses. He is a professional
mathematician with excellent skills in Lean, Six Sigma, Engineering
Physics and Statistics. Recent work includes introducing Lean
methods into a service company and statistical modelling of solar cell
Professor Huw Williams
Huw Williams PhD CMath FIMA
Huw Williams has over 20 years experience in the automotive
industry; he graduated from the University of
Oxford in 1978 with a mathematics degree and went on to take a PhD in
theoretical mechanics at the University of East Anglia. His early career comprised research work on
the mechanical properties of ice for the US Army followed by a spell as a
mathematics lecturer at Edinburgh's Heriot-Watt University where he researched
in theoretical mechanics. Huw joined
Jaguar Cars in 1986 where he worked in research and development applying
mathematical modelling techniques to all aspects of vehicle technology. He also developed statistical skills through
TQM in the 1980's culminating in his accreditation as Ford's top-scoring Master
Black Belt in 2005.
During Huw's latter years as a Technical Leader at Jaguar
Land Rover he led the Design for Six Sigma programme, educating the company's
best technical staff in how to apply mathematical and statistical methods to
design problems out of their systems and components.
He is both a chartered fellow of the Institute of
Mathematics and its Applications and a fellow of the Royal Statistical Society,
and has expertise in the following areas:
Project Management and Project
Planning within the Product Development Process, and Emergency Problem Solving.
- Design for Six Sigma / Quality
Functional Design (DFSS/QFD).
Mathematical Modelling of both
physical and business systems supported by Statistical Parameter Identification.
Systems Engineering (including
target setting and cascade, and systems robustness).
Failure Mode and Effect Analysis
- Robust Engineering Design
(including parameter design, tolerance analysis, and noise factor management).
Design of Experiments, Empirical
Model Building, and Transfer Function Development.
- Design Verification Test Planning,
and Sign-Off reporting.
- Problem-solving and Root Cause
Analysis (with additional emphasis on Prevent Recurrence Actions).
Statistical Process Control from
the perspective of Shewhart & Deming.
Professorial LectureHuw's professorial lecture "Weapons of Maths Instruction" can be read here.
Contact HuwYou can contact Huw by e-mail: firstname.lastname@example.org