Ronald J.M.M. Does obtained his MSc degree (cum laude) in Mathematics at the University of Leiden in 1976. From 1976-1981, he worked at the Center of Mathematics and Computer Science as a researcher and consultant. In 1982 he defended his PhD entitled “Higher Order Asymptotics for Simple Linear Rank Statistics” at the same university. From 1981-1989, he worked at the University of Maastricht, where he became Head of the Department of Medical Informatics and Statistics. In that period his main research interests were medical statistics and psychometrics. In 1989 he joined Philips Electronics as a senior consultant in Industrial Statistics. Since 1991 he became Professor of Industrial Statistics at the University of Amsterdam. In 1994 he founded the Institute for Business and Industrial Statistics, which operates as an independent consultancy firm within the University of Amsterdam. The projects at this institute involve the implementation, training and support of Lean Six Sigma, among others. From 1994-2020 he was executive director IBIS UvA and from 2011-2018 he was also the director of the Institute for Executive Programmes of the Amsterdam Business School. In 2014 he founded the Department of Operations Management and was head of this department from 2014-2020.Since May 2021 he is professor emeritus and an independent statistical engineer and advices how to solve large, complex, and unstructured problems. His current research activities are the design of control charts for nonstandard situations, the methodology of Lean Six Sigma and healthcare engineering.He received the following recognitions: Elected Member ISI (1994), Founding Director ENBIS (2006), Fellow ASQ (2007), Academician IAQ (2007), Hunter Award (2008), Fellow ASA (2014), Shewhart Medal (2019), Box Medal (2019), Netherlands Network for Quality Research Award (2020), Lancaster Medal (2021), Knight in the Order of the Netherlands Lion (2021), and Academician Emeritus IAQ (2022).His e-mail address is: r.j.m.m.does@uva.nlSpecialties: Research: control charts; statistical engineering; quality improvement. Consultancy: Lean Six Sigma; quantitative improvement programs