Ensemble learning for demand forecast of After-Market spare parts to empower data-driven value chain and an empirical study
CF Chien, CC Ku, YY Lu - Computers & Industrial Engineering, 2023 - Elsevier
Demand forecast for spare parts in supply chains is essential for ensuring customer
satisfaction while minimizing appropriate inventory. The after-market orders mainly depend …
satisfaction while minimizing appropriate inventory. The after-market orders mainly depend …
An enhanced adaptive CUSUM control chart
Adaptive CUSUM charts, referred to as ACUSUM charts, have attracted considerable
attention from the research community. By adjusting the reference parameter k dynamically …
attention from the research community. By adjusting the reference parameter k dynamically …
Adaptive CUSUM procedures with EWMA-based shift estimators
Adaptive Cumulative SUM charts (ACUSUM) have been recently proposed for providing an
overall good detection over a range of mean shift sizes. The basic idea of the ACUSUM …
overall good detection over a range of mean shift sizes. The basic idea of the ACUSUM …
An efficient adaptive EWMA control chart for monitoring the process mean
In recent years, the memory‐type control charts—exponentially weighted moving average
(EWMA) and cumulative sum (CUSUM)—along with the adaptive and dual control‐charting …
(EWMA) and cumulative sum (CUSUM)—along with the adaptive and dual control‐charting …
Mixed cumulative sum–exponentially weighted moving average control charts: an efficient way of monitoring process location
Shewhart, exponentially weighted moving average (EWMA), and cumulative sum (CUSUM)
charts are famous statistical tools, to handle special causes and to bring the process back in …
charts are famous statistical tools, to handle special causes and to bring the process back in …
Optimal design of a CUSUM chart for a mean shift of unknown size
JH Ryu, G Wan, S Kim - Journal of Quality Technology, 2010 - Taylor & Francis
The cumulative sum (CUSUM) control chart is one of the most popular methods used to
detect a process mean shift. When one specific size of the mean shift is assumed, the …
detect a process mean shift. When one specific size of the mean shift is assumed, the …
Window-limited CUSUM for sequential change detection
We study the parametric online changepoint detection problem, where the underlying
distribution of the streaming data changes from a known distribution to an alternative that is …
distribution of the streaming data changes from a known distribution to an alternative that is …
An evaluation of a GLR control chart for monitoring the process mean
MR Reynolds Jr, J Lou - Journal of quality technology, 2010 - Taylor & Francis
This paper considers the problem of monitoring the mean of a normally distributed process
variable when the objective is to effectively detect both small and large shifts in this mean …
variable when the objective is to effectively detect both small and large shifts in this mean …
An unbiased function‐based Poisson adaptive EWMA control chart for monitoring range of shifts
For monitoring the number of nonconformities per unit in industrial processes during the
inspection, Poisson control charts are most widely deployed. These charting structures are …
inspection, Poisson control charts are most widely deployed. These charting structures are …
An improved process monitoring by mixed multivariate memory control charts: An application in wind turbine field
Memory control chart such as multivariate CUSUM (MCUSUM) and multivariate EWMA
(MEWMA) control charts are considered superior for the detection of small-to-moderate …
(MEWMA) control charts are considered superior for the detection of small-to-moderate …