The Toyota Production System, or lean production, has long been regarded
as critical to business success in many industries. Over the last ten
years, instruction in six sigma has been increasingly linked with
learning about the elements of lean production. Introduction to
Engineering Statistics and Lean Sigma builds on the success of its
first edition (Introduction to Engineering Statistics and Six Sigma)
to reflect the growing importance of the "lean sigma" hybrid.
As well as providing detailed definitions and case studies of all six
sigma methods, Introduction to Engineering Statistics and Lean Sigma
forms one of few sources on the relationship between operations research
techniques and lean sigma. Readers will be given the information
necessary to determine which sigma methods to apply in which situation,
and to predict why and when a particular method may not be effective.
Methods covered include:
- control charts and advanced control charts,
- failure mode and effects analysis,
- Taguchi methods,
- gauge R&R, and
- genetic algorithms.
The second edition also greatly expands the discussion of Design For Six
Sigma (DFSS), which is critical for many organizations that seek to
deliver desirable products which work first time. It incorporates
recently emerging formulations of DFSS from industry leaders and offers
more introductory material on the design of experiments, and on two
level and full factorial experiments, to help improve student
intuition-building and retention.
The emphasis on lean production, combined with recent methods relating
to Design for Six Sigma (DFSS), makes Introduction to Engineering
Statistics and Lean Sigma a practical, up-to-date resource for advanced
students, educators, and practitioners.
