This book covers root cause analysis (RCA), with an emphasis on using quality tools to
empirically investigate issues. It starts with the theoretical background and then provides …

Many approaches for solving problems in business and industry are based on analytics and
statistical modeling. Analytical problem solving is driven by the modeling of relationships …

Genebanks harbor a large treasure trove of untapped plant genetic diversity. A growing
world population and a changing climate require an increase in the production and …

Purpose–The purpose of this paper is to study the use of the Lean Six Sigma (LSS)
methodology in a construction company. Design/methodology/approach–In our study we …

Exploratory Data analysis (EDA) is one of the hidden and mundane tasks in analysis of
Data, as a Model, Project or analysis is based on data, which is intuitive, extremely …

Throughout the literature on design of experiments, the need to perform confirmation runs
has been repeatedly emphasized. We provide a high-level framework for design of …

This research aims to review the fundamentals of problem solving by evaluating alternative
processes and proposing an enhanced process model named Defined 8D. The enhanced …

Statistical engineering (SE) is a term that has been around in the statistical literature for
more than 60 years. Over the years, it has been defined and used by a number of different …

This book introduces both conceptual and procedural aspects of cutting-edge data science
methods, such as dynamic data visualization, artificial neural networks, ensemble methods …

This paper presents a prescriptive account of diagnostic problem solving, or diagnosis, in
quality and process control. This paper identifies a general strategy, named branch-and …