Simultaneous monitoring of time between events and their multivariate magnitude | ||
| Journal of Quality Engineering and Production Optimization | ||
| مقاله 1، دوره 9، شماره 2، اسفند 2024، صفحه 1-18 اصل مقاله (2.01 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22070/jqepo.2025.18419.1271 | ||
| نویسندگان | ||
| Mohammadreza Mirzaei Novin1؛ Amirhossein Amiri* 2 | ||
| 1Department of Industrial Engineering, Faculty of Engineering, Shahed university, Tehran, Iran | ||
| 2Department of Industrial Engineering , Faculty of Engineering, Shahed University, Tehran, Iran | ||
| چکیده | ||
| Monitoring the time between events without accounting for their magnitudes is an impractical approach. This paper discusses the monitoring of the time between events (TBEs) and their multivariate magnitude (M). The paper explores control charts for the magnitude of events in a multivariate setting, focusing on situations where the magnitude of events has two dimensions. Two statistics are presented in this paper for the simultaneous monitoring of the time between events and the multivariate magnitude. The first statistic is a standardized EWMAZ, which is based on the Shewhart-EWMA approach. The second statistic is a set of three standardized single EWMAs, with each one used for monitoring TBEs and the two dimensions of magnitude (TSEWMA). The performance of these two statistics is evaluated by considering different shifts in the mean of TBE and magnitude under three distinct shift parameter values. The results confirm the effectiveness of these two statistics across various conditions. | ||
| کلیدواژهها | ||
| High quality process؛ statistical process monitoring (SPM)؛ time between events؛ time between events and magnitude؛ average run length (ARL) | ||
|
آمار تعداد مشاهده مقاله: 85 تعداد دریافت فایل اصل مقاله: 22 |
||