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Optimal design of a synthetic chart for monitoring process dispersion with unknown in-control variance
Affiliation:1. School of Statistics, Zhejiang Gongshang University, Hangzhou, PR China;2. Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong, PR China;1. School of Computer and Information Science, Southwest University, Chongqing 400715, China;2. Department of the Tibetan Language, Sichuan University of Nationalities, Kangding, Sichuan 626001, China;3. School of Engineering, University of British Columbia Okanagan, 3333 University Way, Kelowna, BC V1V 1V7, Canada;4. Big Data Decision Institute (BDDI), Jinan University, Guangzhou 510632, PR China;5. School of Engineering, Vanderbilt University, Nashiville 37235, USA;6. School of Electronics and Information, Northwestern Polytechnical University, Xian, Shaanxi 710072, China;1. Zhejiang Gongshang University, China;2. Brunel University, UK;3. Durham University, UK;1. Missouri State University, Glass Hall 200, Springfield, MO 65897, United States;2. Womply/Oto Analytics, 188 King Street, San Francisco, CA 94107, United States;1. Tel Aviv University, School of Health Professions, Department of Occupational Therapy, Tel-Aviv, Israel;2. Sarid Institute for Research Services Ltd., Haifa, Israel
Abstract:
Keywords:Process variance  Average run length  Conforming run length  Unbiased control chart
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