Abstract
Data analytics remains essential for process improvement and optimization. Statistical process control and design of experiments are among the most powerful process and product improvement methods available. However, continuous process environments challenge the application of these methods. In this article we highlight SPC and DoE implementation challenges described in the literature for managers, researchers and practitioners interested in continuous production process improvement. The results may help managers support the implementation of these methods and make researchers and practitioners aware of methodological challenges in continuous process environments
Original language | English |
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Title of host publication | Proceedings of The 24th EurOMA conference |
Number of pages | 11 |
Publication date | 2017 |
Publication status | Published - 2017 |
Event | The 24th International Annual EurOMA Conference - Edingburgh, United Kingdom Duration: 1 Jul 2017 → 5 Jul 2017 http://euroma2017.org/ http://euroma2017.org/ |
Conference
Conference | The 24th International Annual EurOMA Conference |
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Country/Territory | United Kingdom |
City | Edingburgh |
Period | 01/07/2017 → 05/07/2017 |
Internet address |
Keywords
- Productivity
- Statistical tools
- Continuous processes