Results 21 to 30 of about 2,196 (141)

An Assessment of Statistical Process Control-Based Approaches for Charting Student Evaluation Scores [PDF]

, 2006
We compare three control charts for monitoring data from student evaluations of teaching (SET) with the goal of improving student satisfaction with teaching performance. The two charts that we propose are a modified p chart and a z-score chart.
Ding, Xin, Verma, Rohit, Wardell, Don
core   +1 more source

A Multivariate Control Chart for Monitoring Several Exponential Quality Characteristics Using EWMA [PDF]

, 2018
In this paper, we propose a new multivariate control chart for monitoring several exponential distributed characteristics. We transform each exponential variable into the one following an approximately normal distribution.
Aldosari, Mansour Sattam, Aslam, Muhammad, Jun, Chi-Hyuck, Khan, Nasrullah   +3 more
core   +1 more source

Windowed Mean Drift Exponentially Weighted Moving Average Control Chart for Monitoring Complex Autocorrelated Processes

Quality and Reliability Engineering International, EarlyView.
ABSTRACT In modern manufacturing environments, traditional statistical process control (SPC) methods often struggle with complex, dynamic data patterns, particularly when observations are autocorrelated. Control charts are useful tools used in SPC to detect any significant drift in a process.
Jeanette Maria Louw, Jean‐Claude Malela‐Majika, Kayode Samuel Adekeye, Aamir Saghir   +3 more
wiley   +1 more source

Data Accuracy and Completeness of Monthly Midwifery Returns Indicators of Ejisu Juaben Health Directorate of Ghana [PDF]

, 2019
The broad range of activities contained in the provision of Primary Health Care (PHC) places a burden on providers to make optimal use of limited resources to achieve maximal health benefit to the population served.
Agyei-Baffour, P. (Peter), Boadu, R. O. (Richard), Edusei, A. K. (Anthony)   +2 more
core   +3 more sources

The Culture Clash of AI Adoption in Lean Quality Management. Resolving the Tensions at Siemens Electronics Works Amberg

Information Systems Journal, EarlyView.
ABSTRACT Artificial intelligence (AI) brings great potential for manufacturers, but clashes with the established culture due to the unexplainable and opaque nature of the solutions it provides. Having little experience in AI and machine learning (ML), most manufacturing leaders experience barriers implementing AI.
Benjamin van Giffen, Gunter Beitinger, Helmuth Ludwig, Bill Schiano, Konstantin Schmidt, Jan vom Brocke   +5 more
wiley   +1 more source

Statistical methods for cricket team selection : a thesis presented in partial fulfilment of the requirement of the degree of Master of Applied Statistics at Massey University [PDF]

, 1999
Cricket generates a large amount of data for both batsmen and bowlers. Methods for using this data to select a cricket team are examined. Utilising the assumption that an individual's natural ability is expressed via performance outputs, this thesis ...
Bracewell, Paul J
core  

Statistical process control for data without inherent order [PDF]

, 2012
Background The XmR chart is a powerful analytical tool in statistical process control (SPC) for detecting special causes of variation in a measure of quality. In this analysis a statistic called the average moving range is used as a measure of dispersion
Alan J Poots, Thomas Woodcock
core   +3 more sources

Evaluating the Effectiveness of Control Charting Schemes in Detecting Malicious Attacks Targeting Manufacturing Systems

Quality and Reliability Engineering International, Volume 41, Issue 7, Page 2952-2973, November 2025.
ABSTRACT The increasing risk and impact of cyber‐physical attacks on the manufacturing industry are driven by vulnerabilities in industrial control systems and digital manufacturing technologies. These attacks can be strategically engineered to modify product dimensions while evading detection by current quality control (QC) tools.
Ahmad Al Majali, Lee J. Wells, Ahmad E. Elhabashy   +2 more
wiley   +1 more source

A Robust L‐Comoments Covariance Matrix‐Based Hotelling's T2${T^{2}}$ Control Chart for Monitoring High‐Dimensional Non‐Normal Multivariate Data in the Presence of Outliers

Quality and Reliability Engineering International, Volume 41, Issue 7, Page 3308-3317, November 2025.
ABSTRACT This article introduces a new robust multivariate Hotelling T‐square (TS) control chart that incorporates an L‐Comoments covariance matrix into a multivariate statistical process control (MSPC) charting scheme to enhance its robustness and detection ability.
Muhammad Arslan, Usman Shahzad, Ali Yeganeh, Huiming Zhu, JC Malela‐Majika, Shakeel Ahmad   +5 more
wiley   +1 more source

Prediction Intervals for Overdispersed Binomial Endpoints and Their Application to Toxicological Historical Control Data

Pharmaceutical Statistics, Volume 24, Issue 5, September/October 2025.
ABSTRACT For toxicology studies, the validation of the concurrent control group by historical control data (HCD) has become requirements. This validation is usually done by historical control limits (HCL), which should cover the observations of the concurrent control with a predefined level of confidence.
Max Menssen, Jonathan Rathjens
wiley   +1 more source