Sandile Charles Shongwe

发表

Short note explaining the error in ‘Machado M.A.G. and Costa A.F.B. (2014) “A side-sensitive synthetic chart combined with an X chart.” International Journal of Production Research 52 (11): 3404–3416’

Sandile Charles Shongwe, Margot Sigrid Graham, 2016 .

One‐sided runs‐rules schemes to monitor autocorrelated time series data using a first‐order autoregressive model with skip sampling strategies

Jean-Claude Malela-Majika, Sandile Charles Shongwe, Thapelo Molahloe, 2019, Qual. Reliab. Eng. Int..

On monitoring the process mean of autocorrelated observations with measurement errors using the w‐of‐w runs‐rules scheme

Philippe Castagliola, Jean-Claude Malela-Majika, Sandile Charles Shongwe, 2020, Qual. Reliab. Eng. Int..

Some theoretical comments regarding the run-length properties of the synthetic and runs-rules monitoring schemes – part 1: zero-state

M. A. Graham, Sandile Charles Shongwe, Marien Alet Graham, 2019 .

Parameter Estimation Effect of the Homogeneously Weighted Moving Average Chart to Monitor the Mean of Autocorrelated Observations With Measurement Errors

Muhammad Aslam, Jean-Claude Malela-Majika, Sandile Charles Shongwe, 2020, IEEE Access.

Generally weighted moving average monitoring schemes: Overview and perspectives

Philippe Castagliola, Jean-Claude Malela-Majika, Sandile Charles Shongwe, 2020, Qual. Reliab. Eng. Int..

A modified side-sensitive synthetic chart to monitor the process mean

M. A. Graham, Sandile Charles Shongwe, Marien Alet Graham, 2018 .

An overview of synthetic‐type control charts: Techniques and methodology

Subhabrata Chakraborti, Michael B. C. Khoo, Athanasios C. Rakitzis, 2019, Qual. Reliab. Eng. Int..

On the design of nonparametric runs-rules schemes using the Markov chain approach

Sandile Charles Shongwe, 2020, Qual. Reliab. Eng. Int..

THE NEW VARIABLE SAMPLE SIZE SCHEMES TO MONITOR THE PROCESS MEAN OF AUTOCORRELATED TIME SERIES DATA

Jean-Claude Malela-Majika, Sandile Charles Shongwe, 2020 .

The effect of measurement errors on the performance of the homogenously weighted moving average X ¯ monitoring scheme

Philippe Castagliola, Jean-Claude Malela-Majika, Sandile Charles Shongwe, 2020, Trans. Inst. Meas. Control.

Distribution‐free double‐sampling precedence monitoring scheme to detect unknown shifts in the location parameter

Eeva Maria Rapoo, Zhi Lin Chong, Muhammad Aslam, 2021, Qual. Reliab. Eng. Int..

The use of fast initial response features on the homogeneously weighted moving average chart with estimated parameters under the effect of measurement errors

Saddam Akber Abbasi, Muhammad Aslam, Jean-Claude Malela-Majika, 2021, Qual. Reliab. Eng. Int..

Distribution-free composite Shewhart-GWMA Mann-Whitney charts for monitoring the process location

Muhammad Aslam, Zhi Lin Chong, Jean-Claude Malela-Majika, 2021, Qual. Reliab. Eng. Int..

A Novel Simulation-Based Adaptive MEWMA Approach for Monitoring Linear and Logistic Profiles

Saddam Akbar Abbasi, Sandile Charles Shongwe, Ali Yeganeh, 2021, IEEE Access.

A new double sampling scheme to monitor the process mean of autocorrelated observations using an AR(1) model with a skip sampling strategy

Jean-Claude Malela-Majika, Sandile Charles Shongwe, S. C. Shongwe, 2021, Comput. Ind. Eng..

Distribution‐free triple EWMA control chart for monitoring the process location using the Wilcoxon rank‐sum statistic with fast initial response feature

Philippe Castagliola, Jean-Claude Malela-Majika, Sandile Charles Shongwe, 2021, Qual. Reliab. Eng. Int..

Overall Performance Comparison of Homogeneously Weighted Moving Average and Double Homogeneously Weighted Moving Average Schemes

Zhi Lin Chong, Jean-Claude Malela-Majika, Sandile Charles Shongwe, 2021, 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).

Monitoring univariate and multivariate profiles using the triple exponentially weighted moving average scheme with fixed and random explanatory variables

Christos Koukouvinos, Kashinath Chatterjee, Jean-Claude Malela-Majika, 2021, Comput. Ind. Eng..

A homogenously weighted moving average scheme for observations under the effect of serial dependence and measurement inaccuracy

Jean-Claude Malela-Majika, Mohammed Albassam, Sandile Charles Shongwe, 2021, International Journal of Industrial Engineering Computations.

A hybrid homogeneously weighted moving average control chart for process monitoring: Discussion

Jean-Claude Malela-Majika, Sandile Charles Shongwe, S. C. Shongwe, 2021, Qual. Reliab. Eng. Int..

Run Rules-Based EWMA Charts for Efficient Monitoring of Profile Parameters

Saddam Akber Abbasi, Ioannis S. Triantafyllou, Sandile Charles Shongwe, 2021, IEEE Access.

The new synthetic and runs-rules schemes to monitor the process mean of autocorrelated observations with measurement errors

Philippe Castagliola, Jean-Claude Malela-Majika, Sandile Charles Shongwe, 2020, Communications in Statistics - Theory and Methods.