Aimed at overcoming the disadvantages of traditional selective assembly and improving the manufacturing processes of mating parts, a new approach of information-based manufacturing for the mating parts of selective assembly via a coordinated statistical tolerancing (ST) and SPC model is presented. On the basis of studies on quality indices and process capability index (PCI), particularly, the m...

Over the past decades, control charts, one of essential tools in Statistical Process Control (SPC), have been widely implemented manufacturing industries as an effective approach for Anomaly Detection (AD). Thanks to development technologies like Internet Things (IoT) and Artificial Intelligence (AI), Smart Manufacturing (SM) has become important concept expressing end goal digitization manufac...

Purpose This study aims to properly and objectively assess the students’ progress in bachelor programmes by applying statistical process control (SPC). Specifically, authors focused their analysis on variation performance rates business studies courses taught at a Spanish University. Design/methodology/approach A qualitative methodology was used, using an action-based case developed public univ...

multivariate process capability indices (mpci) show how well a manufacturing process can meet specifica-tion limits when quality characteristics enclose a relative correlation. process capability is an important and commonly used metric for assessing and improving the quality of a production process. when quality charac-teristics of a product are correlated then an attractive comes close to mpc...

Monitoring multivariate quality variables or data streams remains an important and challenging problem in statistical process control (SPC). Although the multivariate SPC has been extensively studied in the literature, designing distribution-free control schemes are still challenging and yet to be addressed well. This paper develops a new nonparametric methodology for monitoring location parame...


 Pengendalian mutu pada proyek konstruksi penting dilakukan untuk memastikan pekerjaan yang telah memenuhi standar dan dilaksanakan sesuai schedule tanpa terjadi keterlambatan penyelesaian proyek. Semakin besar skala suatu berdampak kompleksitas harus dikontrol sehingga diperlukan cara pengawasan pekerjaan. Pada penelitian ini digunakan adalah metode Statistical Procces Control (SPC) deng...

Dynamic data detection is one of the main concerns in statistical process control (SPC) field. Here we focus on monitoring parametric multivariate dynamic streams using ARMAX-GARCH model, which reflects both influence exogenous variables mean vector and heterogeneity covariance matrix. A quasi maximum likelihood estimator used to estimate parameter a process, top-r scheme proposed monitor param...

Quality assurance in crowdsourcing markets has appeared to be an acute problem over the last years. We propose a quality control method inspired by Statistical Process Control (SPC), commonly used to control output quality in production processes and characterized by relying on time-series data. Behavioral traces of users may play a key role in evaluating the performance of work done on crowdso...

On-line monitoring of process variability is strategic to achieve high standards of quality and maintain at acceptable levels the number of nonconforming items. Shewhart control charts are the simplest Statistical Process Control (SPC) procedure to achieve this goal. An efficient implementation of a control chart requires the optimal selection of its design parameters. They can be selected acco...