Quality function deployment for the good of soccer |
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| Institution: | 1. Department of Decision Sciences, Drexel University, Philadelphia, PA 19104, USA;2. Department of Management, Temple University. Philadelphia, PA 19122, USA;1. Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China;2. University of Chinese Academy of Sciences, Beijing 100049, China;1. School of Medicine, University of California-San Francisco, San Francisco, California;2. Department of Urology, University of California-San Francisco, San Francisco, California;3. Anderson School of Management, University of California-Los Angeles, Los Angeles, California;4. Department of Urology, University of California-Los Angeles, Los Angeles, California;5. Division of Urology, Duke University, Durham, North Carolina;1. Department of Industrial Engineering, University of Trento, Via Sommarive 9, 38123 Trento, Italy;2. Department of Civil and Industrial Engineering, University of Pisa, Largo L. Lazzarino 2, 56122 Pisa, Italy |
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| Abstract: | This article presents a model for prioritizing and designing rule changes for the game of soccer in order to make it more attractive to soccer enthusiasts. The model, which is loosely based on quality function deployment (QFD), incorporates market segments, sports enthusiast interests, soccer activities, and rules of the game as rows and columns of interconnected QFD matrices. In addition, analytic hierarchy process (AHP) is used to determine the intensity of the relationship between the row and column variables of each matrix, while analytic network process (ANP) is used to determine the intensity of synergy effects among column variables. Finally, a trend extrapolation forecasting technique is used to suggest rule change specifications. The model fine-tunes and adds precision to the otherwise ad hoc process concerning the improvement of the game of soccer, and can provide insight about improvements in other professional sports. |
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