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Exponential cumulative sums chart for detecting shifts in time-between-events
Authors:Liang Qu  Michael B.C. Khoo  Philippe Castagliola  Zhen He
Affiliation:1. College of Management and Economics, Tianjin University, Tianjin, China;2. School of Mathematical Sciences, Universiti Sains Malaysia, Penang, Malaysia;3. Department of Quality and Logistics, Université de Nantes, IRCCyN UMR CNRS 6597, Nantes, France
Abstract:Time-between-events (TBE) charts use the time interval T between events to monitor process shifts (or failure rates λ). This paper presents a two-sided TBE cumulative sums (CUSUM) chart called a weighted CUSUM(WCUSUM)chart for detecting either a deterioration (decrease in T) or an improvement (increase in T) in the condition of a process. A new kind of WCUSUM chart that has an additional charting power parameter w is proposed here. A WCUSUM chart’s efficiency can be improved by using the parameter w, based on an estimated value of the mean shift. In addition, a methodology and optimal design are presented for minimising the average loss. Construction of the WCUSUM chart is illustrated by considering a random shift δ in λ (including both increasing and decreasing shifts) in the design.
Keywords:time-between-events  CUSUM chart  exponential of the sample mean shift  increasing and decreasing shifts  average loss
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