Statistical process control (SPC) implementation plays a major role in quality assurance during the manufacturing process. Nevertheless, adoption rate of SPC commercial software solutions is unsatisfactory most Malaysian companies due to high subscription costs and difficulties applying without proper know-how, guidance, training. This study proposes development purpose-built interactive data v...

Computer measurement systems play an important role on process automation and Industry 4.0 implementation strategies. They can be easily integrated modern production systems, enabling real time test control of multiple product characteristics that need to monitored. If for one side the big data provided by these is asset analytics optimization, other hand, high frequency sampling, commonly used...

The growing interest of organizations in improving their software processes has led them to aim at achieving high maturity, where statistical process control (SPC) is required. One the challenges involved performing SPC selecting measures suitable for it. Measures used can be found literature and reused by organizations, but information dispersed, not favoring reuse. From suggested or practical...

Abstract Self-supervised learning has demonstrated state-of-the-art performance on various anomaly detection tasks. Learning effective representations by solving a supervised pretext task with pseudo-labels generated from unlabeled data provides promising concept for industrial downstream tasks such as process monitoring. In this paper, we present SSMSPC novel approach multivariate statistical ...

In recent years, the adoption of statistical process monitoring (SPM) techniques in healthcare has been successful. For instance, biosurveillance and biosignal have demonstrated direct benefits. As latest reviews literature show, parametric SPM implemented to evaluate quality-of-service hospitals provide, track medical equipment, monitor safety markers, or assess improvements made by quality pr...

Permasalahan pada proses produksi PT Djohartex menimbulkan kerugian bagi perusahaan. Selama Juni hingga September 2022, tingkat kecacatan berada level yang relatif tinggi di 17%. sedangkan diperbolehkan sebesar 15%, akan mempengaruhi, salah satunya kenaikan biaya produksi. Diharapkan penelitian ini dapat mengurangi cacat Tingkat produk memiliki banyak penyebab seperti kualitas bahan baku, human...