Manufacturing organizations need to use different kinds of techniques and tools in order to
fulfill their foundation goals. In this aspect, using machine learning (ML) and data mining …

The enormous impact of artificial intelligence has been realized in transforming the fashion
and apparel industry in the past decades. However, the research in this domain is scattered …

Increased risk exposure levels, technological developments and the growing information
overload in supply chain networks drive organizations to embrace data-driven approaches …

Root cause analysis (RCA) is the process through which we find the true cause of a
problem. It is a crucial process in manufacturing, as only after finding the root cause and …

In Retail 4.0, omni-channels require a seamless and complete integration of all available
channels for purchasing. The diversification of channels not only diversifies data sources …

Accident analysis is used to discover the causes of workplace injuries and devise methods
for preventing them in the future. There has been little discussion in the previous studies of …

Data mining has been proven useful for knowledge discovery in many areas, ranging from
marketing to medical and from banking to education. This study focuses on data mining and …

Purpose Recent research has garnered increasing attention to Quality 4.0, yet its
implementation poses significant challenges across various industries. This study aims to …

In the current automotive industry, quality management, especially quality problem-solving
(QPS), plays an important role in fulfilling the expectations of demanding customers who …

In construction industry, work defects yield time and cost overruns of construction projects
and also cause disputes between project participants during construction and operation …