Advances in the area of computing power, data storage capabilities, etc., are changing the way business is done, particularly regarding how businesses use and apply artificial intelligence. To better understand how artificial intelligence is used in supply chain management, this paper identifies...

Purpose: The bulk cargo shipping industry is characterized by high cost pressure. Chartering vessels at low prices is important to increase the margin of transporting cargo. This paper proposes a three-step, AI-based methodology to support this by forecasting the number of available ships in a...

Supplier risks have attracted significant attention in the supply chain risk management literature. In this article, we propose a new computational system based on the "Fuzzy Extended Analytic Hierarchy Process (FEAHP)" method for supplier selection while considering the relevant risks. We...

Emerging technologies like artificial intelligence, cloud computing, or big data play an important role in the digitalization of today's society, also impacting companies and their supply chains. However, the associated challenges are not only restricted to the technical dimension but include...

Supported by ever-increasing amounts of data and maturing technologies, big data analytics offers viable, promising improvements for various fields and applications. Supply chain analytics (SCA), the application of big data analytics to supply chain management, can enhance and innovate supply...