Manufacturing and service organisations improve their processes on a continuous basis to
have better operational performance. They use lean six sigma (LSS) projects for process …

The growing worldwide population has increased the need for technologies, computerised
software algorithms and smart devices that can monitor and assist patients anytime and …

Abstract Generative Artificial Intelligence (AI) models such as OpenAI's ChatGPT have the
potential to revolutionize Statistical Process Control (SPC) practice, learning, and research …

Today׳ s supply chain professionals are inundated with data, motivating new ways of
thinking about how data are produced, organized, and analyzed. This has provided an …

With the ubiquity of the Internet, platforms such as: Google, Wikipedia and the like can
provide insights pertaining to firms' financial performance as well as capture the collective …

The phenomenon of big data—large, diverse, complex, and/or longitudinal data sets—is
having a stark influence on organizational strategy making. An increase in levels of data and …

The purpose of this paper is to provide an overview and our perspective of recent research
and applications of statistical process monitoring. The focus is on work done over the past …

Technological advances led to increasingly larger industrial quality-related datasets calling
for process monitoring methods able to handle them. In such context, the application of …

It is impossible to deny the significant impact from the emergence of big data and business
analytics” on the fields of Information Technology, Quantitative Methods, and the Decision …

Abstract Machine vision systems for in-line process monitoring in advanced manufacturing
applications have attracted an increasing interest in recent years. One major goal is to …