Purpose This paper aims to present a hybrid machine learning algorithm for additive
manufacturing (AM) design feature recommendation during the conceptual design phase …

The idea of modularity has gained acceptance because of so-called mass customisation
and the need for shorter development time in manufacturing. Modularity is a general …

Product modelling is a pivotal activity in product development (PD) processes. Well-defined
product models organize product data, production information and knowledge to satisfy the …

Clustering is an important data exploration technique with many applications in different
areas of engineering, including engineering design, manufacturing system design, quality …

Conceptual design has profound impact on success of a product design. Identification of the
best conceptual design candidate is a crucial step as design information is not complete and …

Product concept generation and evaluation are two major activities for obtaining an optimal
concept in conceptual design. In this paper, an integrated computational intelligence …

In mass customization, data mining can be used to extract valid, previously unknown, and
easily interpretable information from large product databases in order to improve and …

This paper introduces a methodology for knowledge discovery related to product family
design that integrates an ontology with data mining techniques. In the proposed …

This article presents methods for modeling knowledge base and database for intelligent
concurrent design, including mathematical formulation and system development. Four …

Very often, outsourced components (known as standard components) are used for reducing
design effort and product cost in mould design. They are usually manufactured by …