1
|
Applying design of experiments to optimize the performance level of a curling sport team. TQM JOURNAL 2023. [DOI: 10.1108/tqm-12-2022-0356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/09/2023]
Abstract
PurposeThis article presents a novel case study that analyzes the applicability of DoE in the curling sport in order to improve their own performance and the performance of its athletes. Specifically, this study analyzes the most important factors to increase accuracy and precision in the draw game with curlers' opinions. It was decided to use the “Last Stone Draw (LSD)’ as an appropriate play situation.Design/methodology/approachSpecifically, this study analyzes most important factors to increase accuracy and precision in the draw game with curlers opinions from the German Curling association. Three research techniques were used in this study: case study, interviews and a well-designed experiment. The analysis through the use of DoE includes a measurement system analysis, an initial variance test between two players, a screening and a characterization experiment.FindingsThe results obtained from DoE suggest that the factors routine, stress, release, balance, and the previous play situation have a substantial impact on the score of the player's draw game. However, no factor has a statistically significant impact on the average distance to the center of the target. Moreover, the DoE analysis also concludes that the accuracy and precision of the player's performance is not affected equally by all analyzed factors, but they turn into highly significant when examining their relationship to the other factors.Practical implicationsThe findings of this study can be beneficial to other sports events in improving the performance. Moreover, DoE has proved to be an invaluable tool for many people in the German Curling Association in understanding the factors which influence the curlers performance and also factors which do not affect the curlers performance.Originality/valueThis research attempts to contribute to the existing sports management literature by identifying a way in which DoE can be an effective tool in non-manufacturing settings for identification of most important factors which influence the curling performance.
Collapse
|
2
|
Machinable Leaded and Eco-Friendly Brass Alloys for High Performance Manufacturing Processes: A Critical Review. METALS 2022. [DOI: 10.3390/met12020246] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The recent environmental/health and safety regulations placed restrictions of use of hazardous substances on critical manufacturing sectors and consumers’ products. Brass alloys specifically face a challenging issue concerning the elimination of lead (Pb) which has been a critical element affecting both the machinability and overall quality and efficiency of their manufacturing process. The adaptation of novel materials and processing routes in the green economy constitutes a crucial decision for competitive business and industry growth as a worldwide perspective with substantial industrial and social impact. This paper aims to review the emergent innovative and sustainable material solutions in the manufacturing industry, in line with environmental regulations, by highlighting smart alloy design practices and promoting new and innovative approaches for material selection and manufacturing process optimisation. In this review we analyse the processing, structure and machinability aspects of leaded brasses and underline the major guidelines and research methodologies required to overcome this technical challenge and further improve the mechanical properties and machinability of lead-free brass alloys. Various alloying and processing strategies were reviewed together with the most important failure types, as they were extracted from the existing industrial and technological experience, covering more than 20 years of research in this field.
Collapse
|
3
|
Design of experiments in the service industry: results from a global survey and directions for further research. TQM JOURNAL 2020. [DOI: 10.1108/tqm-09-2020-0223] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeThe purpose of this study is to critically evaluate the current status of Design of experiments (DoE) in the service industry or non-manufacturing processes in the manufacturing sector. This involves the identification of critical success factors and challenges in the use of DoE in the context of the service industry as well as the key skills needed for its successful applications.Design/methodology/approachIn order to identify the critical success factors and challenges, an online survey instrument was developed and distributed across Six Sigma Black Belts (SSBB), Six Sigma Master Black Belts (SSMBB), process improvement champions, continuous improvement professionals, DoE experts and specialists as well as academics who are involved in DoE research and applications.FindingsA total of 109 participants from over 20 countries responded to the study. One of the first findings of the study is that over 40% of the process improvement professionals in the service sector do not have any hands-on experience with the application of DoE. Further, this study highlights the following critical factors for successful DoE applications: dedicating adequate resources in terms of time, budget and people for the experiment; getting a clear understanding of the problem at hand; securing a reliable and validated measurement system for measuring the response or quality characteristics of interest; and identifying input independent variables, which influence the quality characteristics during the brainstorming stage. Some respondents also mention the importance of having training or education in DoE as a critical success factor. At the same time, the lack of adequate planning to experimentation, mathematical knowledge and statistical reasoning remains as challenge to be solved.Research limitations/implicationsAs data were collected at an individual level, inter-reliability, which measures the consistency of judgements on a particular survey item, could not be gauged. Moreover, due to low sample size across some continents, an intercontinental comparative study on the extent of the application of DoE across various continents could not be performed.Originality/valueTo the best of the authors’ knowledge, this is the first global survey carried out to understand the status of DoE in the service industry. The results of the global study can be used to encourage quality, continuous improvement and process improvement professionals in the service sector to drive wider acceptance of one of the most powerful tools in the Six Sigma toolkit for problem-solving scenarios. Moreover, senior managers in the service industry can take away some of the key benefits, challenges and success factors in the implementation of DoE.
Collapse
|
4
|
Affiliation(s)
- Robert Lee
- BASF SE; Statistics and machine learning; Carl-Bosch-Straße 38 67056 Ludwigshafen am Rhein Germany
| |
Collapse
|
5
|
Lundkvist P, Bergquist B, Vanhatalo E. Statistical methods – still ignored? The testimony of Swedish alumni. TOTAL QUALITY MANAGEMENT & BUSINESS EXCELLENCE 2018. [DOI: 10.1080/14783363.2018.1426449] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Peder Lundkvist
- Quality Technology, Luleå University of Technology, Luleå, Sweden
| | - Bjarne Bergquist
- Quality Technology, Luleå University of Technology, Luleå, Sweden
| | - Erik Vanhatalo
- Quality Technology, Luleå University of Technology, Luleå, Sweden
| |
Collapse
|
6
|
Lendrem DW, Lendrem BC, Woods D, Rowland-Jones R, Burke M, Chatfield M, Isaacs JD, Owen MR. Lost in space: design of experiments and scientific exploration in a Hogarth Universe. Drug Discov Today 2015; 20:1365-71. [DOI: 10.1016/j.drudis.2015.09.015] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2015] [Revised: 09/14/2015] [Accepted: 09/29/2015] [Indexed: 10/22/2022]
|
7
|
Fontdecaba S, Grima P, Tort-Martorell X. Analyzing DOE With Statistical Software Packages: Controversies and Proposals. AM STAT 2014. [DOI: 10.1080/00031305.2014.923784] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
|
8
|
Bergquist B. Some ideas on why factorial designs are seldom used for full-scale experiments in continuous production processes. TOTAL QUALITY MANAGEMENT & BUSINESS EXCELLENCE 2014. [DOI: 10.1080/14783363.2014.929230] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
|
9
|
Enríquez AH, Tanco M, Kim JK. Simulation-Based Process Design and Integration for the Sustainable Retrofit of Chemical Processes. Ind Eng Chem Res 2011. [DOI: 10.1021/ie200722z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Affiliation(s)
- Aurora Hernández Enríquez
- Centre for Process Integration, School of Chemical Engineering and Analytical Science, The University of Manchester, Manchester M13 9PL, U.K
| | - Martin Tanco
- CITEM, Universidad de Montevideo, Luis P. Ponce 1307, Montevideo, Uruguay
| | - Jin-Kuk Kim
- Department of Chemical Engineering, Hanyang University, 17 Haengdang-dong, Seongdong-gu, Seoul, Republic of Korea, 133-791
| |
Collapse
|
10
|
Gamal Aboelmaged M. Reconstructing Six Sigma barriers in manufacturing and service organizations. INTERNATIONAL JOURNAL OF QUALITY & RELIABILITY MANAGEMENT 2011. [DOI: 10.1108/02656711111132562] [Citation(s) in RCA: 53] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
|
11
|
Tanco M, Viles E, Jesus Álvarez M, Ilzarbe L. Why is not design of experiments widely used by engineers in Europe? J Appl Stat 2010. [DOI: 10.1080/02664760903207308] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
|