Context: The selection and use of appropriate multi-criteria decision making (MCDM)
methods for solving complex problems is one of the challenging issues faced by decision …

Artificial intelligence (AI) has become an essential tool for manufacturers seeking to optimize
their production processes, reduce costs, and improve product quality. However, the …

The industrial revolutions have challenged organisations to rethink their product design and
manufacturing processes, making them faster and more connected to market demands and …

The Semantic Web emerged as an extension to the traditional Web, adding meaning
(semantics) to a distributed Web of structured and linked information. At its core, the concept …

Big data is a challenging issue as its volume, shape, and size need to be modified in order
to extract important information for a specific purpose. The amount of data is rising with the …

The EU H2020 project social cohesion, participation, and inclusion through cultural
engagement (SPICE) focuses on developing, designing, and implementing new methods …

Technological advances, dynamic customer needs, growing uncertainty, and the imperative
for sustainable development pressure manufacturing entities to enhance productivity and …

In the agricultural context, there is a great diversity of insects and diseases that affect crops.
Moreover, the amount of data available on data sources such as the Web regarding these …

Production losses can influence minor and big businesses and frequently result from
unpredicted glitches that arise during what should be a repetitive maintenance procedure …

A traceability system can quickly and accurately query product supply chain circulation
information. It is difficult to obtain processing information and achieve sharing due to the big …