A class of distribution-free one-sided Cucconi schemes for joint surveillance of location and scale parameters and their application in monitoring cab services. (October 2020)
- Record Type:
- Journal Article
- Title:
- A class of distribution-free one-sided Cucconi schemes for joint surveillance of location and scale parameters and their application in monitoring cab services. (October 2020)
- Main Title:
- A class of distribution-free one-sided Cucconi schemes for joint surveillance of location and scale parameters and their application in monitoring cab services
- Authors:
- Song, Zhi
Mukherjee, Amitava
Tao, Guihong - Abstract:
- Highlights: Some one-sided distribution-free control schemes for joint surveillance are proposed. The proposed plans based on the decomposition of Cucconi statistic perform very well. In many practical cases, a one-sided scheme would be preferable to two-sided schemes. We illustrate the designed schemes in monitoring cab services. Abstract: Simultaneous distribution-free surveillance (SDFS) of location and scale parameters of a process based on a single plotting statistic has emerged as a prevalent research issue in the past seven years. Most of the SDFS schemes are, however, appropriate for monitoring two-sided shifts in location-scale. In monitoring service quality or time to an event, among others, decreasing process median or variability are usually considered as a process improvement and not something to worry about in practice. We only desire to have a quick signal when there is an increase in the median or scatter as they refer to a deterioration in the process quality. On the contrary, in network traffic surveillance, a decrease in process variability could be a matter of concern as it may result in network congestion where a decreasing shift may be of more interest. In such instances, specific one-sided shifts are of more importance, and a one-sided SDFS scheme would be more appropriate than traditional two-sided schemes. In this article, we propose several Shewhart-Cucconi type SDFS schemes for jointly monitoring one-sided deviations in location or scale or bothHighlights: Some one-sided distribution-free control schemes for joint surveillance are proposed. The proposed plans based on the decomposition of Cucconi statistic perform very well. In many practical cases, a one-sided scheme would be preferable to two-sided schemes. We illustrate the designed schemes in monitoring cab services. Abstract: Simultaneous distribution-free surveillance (SDFS) of location and scale parameters of a process based on a single plotting statistic has emerged as a prevalent research issue in the past seven years. Most of the SDFS schemes are, however, appropriate for monitoring two-sided shifts in location-scale. In monitoring service quality or time to an event, among others, decreasing process median or variability are usually considered as a process improvement and not something to worry about in practice. We only desire to have a quick signal when there is an increase in the median or scatter as they refer to a deterioration in the process quality. On the contrary, in network traffic surveillance, a decrease in process variability could be a matter of concern as it may result in network congestion where a decreasing shift may be of more interest. In such instances, specific one-sided shifts are of more importance, and a one-sided SDFS scheme would be more appropriate than traditional two-sided schemes. In this article, we propose several Shewhart-Cucconi type SDFS schemes for jointly monitoring one-sided deviations in location or scale or both parameters of a process. We discuss the implementation steps and establish the in-control robustness of the new surveillance plans. We compare proposed schemes with existing one-sided Shewhart-Lepage type schemes using run-length properties. Numerical results substantiate that the proposed schemes perform quite well in many cases. We explain the application of newly designed schemes in surveillance of waiting time during a taxi ride in some cities. … (more)
- Is Part Of:
- Computers & industrial engineering. Volume 148(2020)
- Journal:
- Computers & industrial engineering
- Issue:
- Volume 148(2020)
- Issue Display:
- Volume 148, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 148
- Issue:
- 2020
- Issue Sort Value:
- 2020-0148-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-10
- Subjects:
- Distribution-free -- One-sided -- Statistical process control -- Simultaneous monitoring -- Shewhart-Cucconi
Engineering -- Data processing -- Periodicals
Industrial engineering -- Periodicals
620.00285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03608352 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.cie.2020.106625 ↗
- Languages:
- English
- ISSNs:
- 0360-8352
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.713000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 14330.xml