Managerial implications for improving continuous production processes

Francesca Capaci, Erik Vanhatalo, Bjarne Bergquist, Murat Kulahci

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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 languageEnglish
Title of host publicationProceedings of The 24th EurOMA conference
Number of pages11
Publication date2017
Publication statusPublished - 2017
EventThe 24th International Annual EurOMA Conference - Edingburgh, United Kingdom
Duration: 1 Jul 20175 Jul 2017


ConferenceThe 24th International Annual EurOMA Conference
Country/TerritoryUnited Kingdom
Internet address


  • Productivity
  • Statistical tools
  • Continuous processes


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