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 language | English |
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| Title of host publication | Proceedings of the 12th International Conference on Industrial Engineering, ICIE 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 27-35 |
| Number of pages | 9 |
| ISBN (Electronic) | 9781509004560 |
| DOIs | |
| State | Published - 22 Jul 2016 |
| Externally published | Yes |
| Event | 12th International Conference on Industrial Engineering, ICIE 2016 - Tehran, Iran, Islamic Republic of Duration: 25 Jan 2016 → 26 Jan 2016 |
Publication series
| Name | Proceedings of the 12th International Conference on Industrial Engineering, ICIE 2016 |
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Conference
| Conference | 12th International Conference on Industrial Engineering, ICIE 2016 |
|---|---|
| Country/Territory | Iran, Islamic Republic of |
| City | Tehran |
| Period | 25/01/16 → 26/01/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
Keywords
- Statistical engineering
- business analytics
- business improvement
- ranking
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering