Purpose: Active product life cycle management contributes to supply chain optimization. However, in nowadays industry the high number of variants and backward loops complicate tracing the entire product lifecycle in an ERP system. Consequently, product lifecycle and corresponding...

Purpose: Our research shows that considering well suited NoSQL databases is beneficial for logistics tasks. For answering tasks we rely on the widespread methods of Data Mining. We stress that using relational databases as basis for Data Mining tools cannot cope with the growing amount of data...

This book presents selected proceedings of the International Conference on Business Analytics in Practice (ICBAP2024), which was held on January 8-11, 2024, at the University of Sharjah, UAE. The book presents advanced modeling and examples to explore the practical applications of business...

Artificial intelligence is a key technology for procurement and its usage is still in its infancy.This work builds upon literature reviews on big data analytics in supply chain management(Min, 2010, Waller and Fawcett, 2013, Souza, 2014, Gunasekaran et al., 2017, Nguyen et al.,2017) focusing on...