Using data analytics to properly extracting insights that are in-line to the enterprises strategic
goals is crucial for the business sustainability. Developing the most fitting context as a …

Decision-making is the process of selecting a course of action from several alternatives on
the basis of preferences, values and available information. As decisions become …

In modern industrial systems, collected textual data accumulates over time, offering an
important source of information for enhancing present and future industrial practices …

Real-time locating systems (RTLSs) have proven to be a practical and effective solution for
monitoring positions/status of humans and other entities in industrial environments, ensuring …

Prescriptive Analytics deals with the task of prescribing actionable decisions. These decision-
making processes are usually based on expert knowledge and existing Data Analytics …

Prescriptive analytics plays an important role in decision making in smart factories by
utilizing the available data to gain actionable insights. The planning, integration and …

Definition With the rise of individualism as a social trend and the wide use of the Internet and
social media, today's customers increasingly want to design and build unique products that …

Semantic Web languages, models, and technologies are increasingly finding widespread
research and practical applications within the domain of Industrial Engineering. The key …

Smart manufacturing in the context of a smart factory is allowed through different uncertain
processes, which creates significant challenges. In this case, smart manufacturing should be …

This study synthesizes a model of the main engineering and production chains in the Smart
factory of Industry 4.0. This study has three main stages: an overview of the main definitions …