The paper reviews applications of data mining in manufacturing engineering, in particular
production processes, operations, fault detection, maintenance, decision support, and …

In modern manufacturing environments, vast amounts of data are collected in database
management systems and data warehouses from all involved areas, including product and …

Engineering design (ED) is the process of solving technical problems within requirements
and constraints to create new artifacts. Data science (DS) is the inter-disciplinary field that …

Production complexity has increased considerably in recent years due to increasing
customer requirements for individual products. At the same time, continuous digitization has …

We review the scholarly contributions that utilise natural language processing (NLP)
techniques to support the design process. Using a heuristic approach, we gathered 223 …

In the last two decades, data regarding engineering design and product development has
increased rapidly. Big data exploration and mining offer numerous opportunities for …

In this contribution we identify the synergies of Operations Research and Data Mining.
Synergies can be achieved by integration of optimization techniques into Data Mining and …

Product configuration design is of critical importance in design for mass customization. This
paper will investigate two important issues in configuration design. The first issue is …

With the advent of various services and applications of Semantic Web, semantic annotation
has emerged as an important research topic. The application of semantically annotated …

The availability of today's online information systems rapidly increases the relevance of
dynamic decision making within a large number of operational contexts. Whenever a …