Sales and operations planning (S&OP) has emerged as a planning approach that integrates
tactical level decisions across functions and supply chains while aligning day-to-day …

Abstract Although Machine Learning (ML) in supply chain management (SCM) has become
a popular topic, predictive uses of ML in SCM remain an understudied area. A specific area …

In the field of production management, decision support systems (DSS) equipped with
machine learning (ML) have significantly advanced production planning and control within …

Engineering changes (EC), redesigns of components, are common with complex products.
Their realisation into production systems is a lengthy process and thorough control is …

Designing customized products for customer needs is a key characteristic of machine and
plant manufacturers. Their manufacturing process typically consists of a design phase …

By applying machine learning algorithms, predictive business process monitoring (PBPM)
techniques provide an opportunity to counteract undesired outcomes of processes. An …

There are many factors affecting the assembly quality of rotate vector reducer, and the
assembly quality is unstable. Matching is an assembly method that can obtain high …

The process time of a production process is an important result of planning in supply
networks, which in turn is a defining parameter, significant for further organizational …

The sensitive attribute selection requires a well-trained machine-learning model to avoid
unauthorized access to sensitive data. A new hybrid approach Boosted Neural Sensitive …

Industrially manufactured products often consist of a large number of components sourced
or produced using different manufacturing processes. This characteristic is particularly …