Purpose: Additive manufacturing (AM) enables the manufacturing of metal parts and is therefore increasingly important for industry. Unfortunately, the manufactured parts exhibit many imperfections, such as faults or other quality defects. The use of artificial intelligence (AI) allows for the...

Purpose: Especially in supply chain management (SCM), data has become essential to the success of companies. Traditional analytical methods are being augmented by machine learning (ML), which is considered the foremost relevant branch of artificial intelligence. This article maps various ML...

This volume contains research contributions by an international group of authors addressing innovative and technology-based approaches for supply chain management. They present business models and investment options for enhanced strategic decision making as well as recent approaches for supply...

Purpose: Product modularization and supply chain integration have establishedthemselves as efficient methods for complexity management, but a holistic view oftheir effects has rarely been studied. For this reason, we demonstrate a conceptwhich presents these effects along the product life-cycle...

Purpose: The aerospace supply chain is characterized by a high degree of small andmedium-sized suppliers. To stay competitive, suppliers are facing high pressures todigitalize their business but have limited resources available. Furthermore, aerospacesuppliers lack a framework to measure their...

This volume contains research contributions by an international group of authors addressing innovative and technology-based approaches for supply chain management. They present business models and investment options for enhanced strategic decision making as well as recent approaches for supply...