The level of adoption of statistical tools. A case of statistical engineering

Igor Barahona, Oliver Lopez-Corona, Alex Riba

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Due to the emergence of new information technologies, there has been an increase on the use of statistical tools applied in business. Here, we investigate several scales existing in literature and propose a novel way of measuring the level of adoption of statistical tools. The logic behind is: The higher a company on the scale; the stronger its statistical capabilities are. Four drivers are investigated to assist companies to improve its analytical performance. These concepts are assembled under the statistical engineering approach. Seven statistical tools are wisely integrated by following a logical order of six steps. This study case represents a guide to anyone interested on applying the concepts of statistical engineering or improving data exploitation for better decision making in organizations.

Original languageEnglish
Title of host publicationProceedings of the 12th International Conference on Industrial Engineering, ICIE 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages27-35
Number of pages9
ISBN (Electronic)9781509004560
DOIs
StatePublished - 22 Jul 2016
Externally publishedYes
Event12th International Conference on Industrial Engineering, ICIE 2016 - Tehran, Iran, Islamic Republic of
Duration: 25 Jan 201626 Jan 2016

Publication series

NameProceedings of the 12th International Conference on Industrial Engineering, ICIE 2016

Conference

Conference12th International Conference on Industrial Engineering, ICIE 2016
Country/TerritoryIran, Islamic Republic of
CityTehran
Period25/01/1626/01/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

  • Statistical engineering
  • business analytics
  • business improvement
  • ranking

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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