Yasar Mahmood, Michael B. C. Khoo, Sin Yin Teh, Sajal Saha
• TEWMA is combined with TCC for an efficient monitoring of the process mean. • Repetitive sampling (RS) is employed to increase the efficiency of the TEWMA-TCC. • Symmetric and asymmetric control limits are computed under single and RS. • Simulations and a real application show the superiority of t...
Michael B. C. Khoo, Sajal Saha, Sin Yin Teh, Abdul Haq et al.
The implementation of the X¯ chart requires a large number of samples from an underlying process model, which poses a major problem in short production runs, like in the fast-paced smart manufacturing environment. In this study, the median chart, as a robust alternative to the X¯ chart, is used to e...
Yasar Mahmood, Michael B. C. Khoo, Sin Yin Teh, Sajal Saha et al.
Monitoring production processes to provide potential customers with quality products while utilising fewer resources and reducing the cost of inspection is a challenge to quality and industrial engineers. Aiming at developing an improved design using reduced sample sizes, this study proposes a tripl...
Sajal Saha, Michael B. C. Khoo, Oluwagbenga Tobi Babatunde, Sin Yin Teh et al.
ABSTRACT Autocorrelation has recently gained significant attention as many industrial outcomes are autocorrelated. This work presents a multivariate run sum (MRS) chart for monitoring autocorrelated processes by utilizing a first‐order vector autoregressive (VAR(1)) model with an s ‐skip sampling st...
KerHsin Ong, Sin Yin Teh, Sajal Saha, MichaelBoonChong Khoo et al.
Abstract In recent fast pace smart manufacturing environment, the short production runs (SPR) control charts offer a higher degree of flexibility compared to the traditional control charts. This is due to Phase I data collection not needed for SPR control charts and this eases practitioners in estim...
Sin Yin Teh, Teh Sin Yin, Sajal Saha
Artificial Intelligence (AI) is playing an increasingly pivotal role in driving innovation and promoting sustainable development across various sectors amid the ongoing wave of industrial revolutions. However, the existing research lacks a systematic and quantitative overview of how AI contributes t...
Ming-Qi Shao, Sin Yin Teh, Alhamzah Alnoor, Chengzhi Song
Abstract This study explores the way digital transformation relates to business model innovation by using a bibliometric analysis. The goal is to trace the development of the field and clarify its underlying theoretical foundations and emerging research themes. It is based on 164 publications from t...
Jian Chen, Siew‐Phaik Loke, Sin Yin Teh
Grounded in the Intelligent Technological Pedagogical Content Knowledge (I-TPACK) framework, this qualitative study examines how teachers integrate artificial intelligence (AI) into teaching and assessment practices across four disciplinary contexts: Technical and Vocational Education and Training; ...