Design of experiments – overcome hindrances and bad practices. Issue 5 (27th September 2019)
- Record Type:
- Journal Article
- Title:
- Design of experiments – overcome hindrances and bad practices. Issue 5 (27th September 2019)
- Main Title:
- Design of experiments – overcome hindrances and bad practices
- Authors:
- Costa, Nuno
- Abstract:
- Abstract : Purpose: The purpose of this paper is to address misconceptions about the design of experiments (DoE) usefulness, avoid bad practices and foster processes' efficiency and products' quality in a timely and cost-effective manner with this tool. Design/methodology/approach: To revisit and discuss the hindrances to DoE usage as well as bad practices in using this tool supported on the selective literature from Web of Science and Scopus indexed journals. Findings: A set of recommendations and guidelines to mitigate DoE hindrances and avoid common errors or wrong decisions at the planning, running and data analysis phases of DoE are provided. Research limitations/implications: Errors or wrong decisions in planning, running and analyzing data from statistically designed experiments are always possible so the expected results from DoE usage are not always 100 percent guaranteed. Practical implications: Novice and intermediate DoE users have another perspective for developing and improving their "test and learn" capability and be successful with DoE. To appropriately plan and run statistically designed experiments not only save the user of DoE from incorrect decisions and depreciation of their technical competencies as they can optimize processes' efficiency and products' quality (reliability, durability, performance, robustness, etc.) in a structured, faster and cheaper way at the design and manufacturing stages. Social implications: DoE usefulness will be increasinglyAbstract : Purpose: The purpose of this paper is to address misconceptions about the design of experiments (DoE) usefulness, avoid bad practices and foster processes' efficiency and products' quality in a timely and cost-effective manner with this tool. Design/methodology/approach: To revisit and discuss the hindrances to DoE usage as well as bad practices in using this tool supported on the selective literature from Web of Science and Scopus indexed journals. Findings: A set of recommendations and guidelines to mitigate DoE hindrances and avoid common errors or wrong decisions at the planning, running and data analysis phases of DoE are provided. Research limitations/implications: Errors or wrong decisions in planning, running and analyzing data from statistically designed experiments are always possible so the expected results from DoE usage are not always 100 percent guaranteed. Practical implications: Novice and intermediate DoE users have another perspective for developing and improving their "test and learn" capability and be successful with DoE. To appropriately plan and run statistically designed experiments not only save the user of DoE from incorrect decisions and depreciation of their technical competencies as they can optimize processes' efficiency and products' quality (reliability, durability, performance, robustness, etc.) in a structured, faster and cheaper way at the design and manufacturing stages. Social implications: DoE usefulness will be increasingly recognized in industry and academy and, as consequence, better products can be made available for consumers, business performance can improve, and the link between industry and academy can be strengthened. Originality/value: A supplemental perspective on how to succeed with DoE and foster its usage among managers, engineers and other technical staff is presented. … (more)
- Is Part Of:
- TQM journal. Volume 31:Issue 5(2019)
- Journal:
- TQM journal
- Issue:
- Volume 31:Issue 5(2019)
- Issue Display:
- Volume 31, Issue 5 (2019)
- Year:
- 2019
- Volume:
- 31
- Issue:
- 5
- Issue Sort Value:
- 2019-0031-0005-0000
- Page Start:
- 772
- Page End:
- 789
- Publication Date:
- 2019-09-27
- Subjects:
- Product development -- Process design -- Customer satisfaction -- Performance improvement -- Misconceptions -- Industrial experiments
Total quality management -- Periodicals
658.562 - Journal URLs:
- http://info.emeraldinsight.com/products/journals/journals.htm?PHPSESSID=kpbsp5knke0e61bm7o4f1o6nj7&id=tqm ↗
http://info.emeraldinsight.com/products/journals/journals.htm?id=tqj ↗
http://proxy.library.carleton.ca/login?url=http://resolver.scholarsportal.info/resolve/17542731 ↗
http://proxy.library.carleton.ca/login?url=http://www.emeraldinsight.com/1754-2731.htm ↗
http://www.emeraldinsight.com/journals.htm?issn=1754-2731 ↗
http://www.emeraldinsight.com/ ↗ - DOI:
- 10.1108/TQM-02-2019-0035 ↗
- Languages:
- English
- ISSNs:
- 1754-2731
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8873.782400
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22208.xml