Purpose: Increasing quantity and sources of data and their potential to fuel value-adding applications in Supply Chain Management (SCM) are of considerable importance for corporations. Methodology: We utilize a qualitative research design of semi-structured expert interviews. Findings: Utilizing...

Purpose: Global supply chains increasingly demand sustainable setups, from the first to the last mile in transportation. Particularly in urban settings, the use of commercial electric vehicles for transport tasks might be a suitable measure to increase overall sustainability. Methodology: For an...

Purpose: When container terminals are planned or converted, among others the most suitable container handling system needs to be selected and the appropriate terminal layout needs to be designed. These two planning activities are mutually dependent and affect the costs and future operational...

The incremental awareness regarding social and environmental issues has pushed organizations to adopt sustainable practices. Over the last few years, organizations are considered to be responsible for their business activities that affect the environment, society, and the economy of their own...

Purpose: In recent years, a number of practical logistic applications of machine learning (ML) have emerged, especially in Supply Chain Management (SCM). By linking applied ML methods to the SCM task model, the paper indicates the current applications in SCM and visualises potential research...

Purpose: Currently floating offshore wind emerges as a new technology and thus making offshore windfarms in areas feasible where it was due to certain conditions (water depths, soil conditions) not feasible to install fixed offshore wind turbines. The installation process of floating offshore...