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R for industry and business: Statistical tools for quality control and improvement.md

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R for industry and business: Statistical tools for quality control and improvement - Emilio L. Cano (The University of Castilla-La Mancha)

Workshop materials at: http://emilio.lcano.com/erum

Description of proposed workshop

The aim of this workshop is twofold: bringing R to industry and business, and improving industry and business skills of R users. The former is really challenging due to the fact that many companies are still reluctant to free software. Nevertheless, this situation is gradually changing and there are more and more people working at companies using R packages and providing feedback about their experience, which means that the time for R in industry is coming; the latter is indeed needed in order to provide industry with R experts trained in quality methodologies and avoid a shortage of professionals in the near future. The tools addressed in the workshop are based in two publications coauthored by the workshop trainer, namely:

Moreover, similar in-company courses have been given by the author in Spain.

Plan of the workshop

Even though it is not possible to go in depth through all the quality control and improvement tools in three hours, five topics are planned to be covered:

  • Basic tools
  • Control Charts
  • Process Capability Analysis
  • Measurement Systems Analysis
  • Effective Reporting

Each topic will consist of a 15 minutes presentation, and 15 minutes for practice with provided code files and/or data sets. In addition, two general presentations will start and finish the workshop with a brief introduction and a summary of other tools respectively.

Code, data, and handouts will be available for downloading before the workshop.

Required packages

qcc, SixSigma, qualityTools, AcceptanceSampling, qicharts.

RStudio is strongly recommended, though not mandatory.

Required skills of participants

The workshop is suitable for three different types of attendees according to their interests:

  • NewcomeRs from industry. People that are currently using other Statistical software to perform statistical quality control and improvement techniques (SPC, Six Sigma, ...) and need to have a global view of the R capabilities for future use. They could attend and follow the workshop without practicing, just taking notes. Required skills of this group include quality methodologies, business, and management;

  • Quality Control and Improvement practitioners that have started to use R (or at least are ready to install and interact with it) and need to improve their R skills in order to successfully use it in a production environment. Required skills of this group include quality methodologies, basic programming, and basic Statistics;

  • R users that want to learn about applied statistical techniques for quality control and improvement in order to improve their skills looking at industry and business. Required skills of this group include R programming, Statistics, and notions of process management.

Required work to do before workshop

Those attendees planning to follow the workshop practicing should bring their laptops with R, RStudio, and the required packages installed. Nevertheless, during the workshop introduction there will be some time to download, install and/or configure the tools.

Downloading in advance the documentation and example data for the workshop is also advisable.

Research experience

PhD. at Rey Juan Carlos University. Dissertation title "An Integrated Framework for the Representation and Solution of Stochastic Energy Optimization problems". Research scientist at Rey Juan Carlos University since 2011, having contributed to several European and National projects and publications in relevant journals. Contributions to relevant international conferences including several use R! conferences.

See full and updated CV at http://emilio.lcano.com.

Experience as lecturer/teacher

  • Rey Juan Carlos University. Master in Data Science (since 2015/16)

  • University of Castilla-La Mancha. Master in Analysis and Strategy for Business Endeavor (Social Sciences Faculty, since 2015/16).

  • University of Castilla-La Mancha. Applied Mathematics and Statistics. (Pharmacy Faculty, since 2014/15).

  • University of Castilla-La Mancha. Business Statistics (Social Sciences Faculty, since 2013/14).

  • Teacher at the ESTALMAT Project. Mathematical Talent Encouragement (Spanish Royal Academy of Sciences)

  • Freelance trainter. Asociación Española para la Calidad (Spanish Association for Quality). Statistical Process Control course (in-class); In-company courses including multinational companies (Lactalis, Nutreco, Gallina Blanca, BSH, Energylab) regarding quality control and improvement (SPC, DoE, ...)