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Exploring the Use of Design of Experiments in Industrial Processes Operating Under Closed-Loop Control
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
Number of Authors: 4
2017 (English)In: Quality and Reliability Engineering International, ISSN 0748-8017, E-ISSN 1099-1638Article in journal (Refereed) Epub ahead of print
Abstract [en]

Industrial manufacturing processes often operate under closed-loop control, where automation aims to keep important process variables at their set-points. In process industries such as pulp, paper, chemical and steel plants, it is often hard to find production processes operating in open loop. Instead, closed-loop control systems will actively attempt to minimize the impact of process disturbances. However, we argue that an implicit assumption in most experimental investigations is that the studied system is open loop, allowing the experimental factors to freely affect the important system responses. This scenario is typically not found in process industries. The purpose of this article is therefore to explore issues of experimental design and analysis in processes operating under closed-loop control and to illustrate how Design of Experiments can help in improving and optimizing such processes. The Tennessee Eastman challenge process simulator is used as a test-bed to highlight two experimental scenarios. The first scenario explores the impact of experimental factors that may be considered as disturbances in the closed-loop system. The second scenario exemplifies a screening design using the set-points of controllers as experimental factors. We provide examples of how to analyze the two scenarios

Place, publisher, year, edition, pages
2017.
National Category
Reliability and Maintenance
Research subject
Quality Technology and Management
Identifiers
URN: urn:nbn:se:ltu:diva-61872DOI: 10.1002/qre.2128Scopus ID: 2-s2.0-85012952363OAI: oai:DiVA.org:ltu-61872DiVA: diva2:1072527
Available from: 2017-02-08 Created: 2017-02-08 Last updated: 2017-02-27

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Capaci, FrancescaBergquist, BjarneKulahci, MuratVanhatalo, Erik
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CiteExportLink to record
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Citation style
  • apa
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