Abstract Machine Learning (ML) is a branch of artificial intelligence that studies algorithms
able to learn autonomously, directly from the input data. Over the last decade, ML …

Manufacturing organizations need to use different kinds of techniques and tools in order to
fulfill their foundation goals. In this aspect, using machine learning (ML) and data mining …

A significant recent technological development concerns the automation of knowledge and
service work as a result of advances in Artificial Intelligence (AI) and its sub-fields. We use …

Abstract Prognostics and Health Management (PHM), including monitoring, diagnosis,
prognosis, and health management, occupies an increasingly important position in reducing …

Research interests in machine learning (ML) and supply chain management (SCM) have
yielded an enormous amount of publications during the last two decades. However, in the …

This article presents a systematic literature review (SLR) of empirical studies concerning
Artificial Intelligence (AI) in the field of Supply Chain Management (SCM). Over the past …

Anomaly detection in energy consumption is a crucial step towards developing efficient
energy saving systems, diminishing overall energy expenditure and reducing carbon …

Big data (BD) approach has significantly impacted on the development and expansion of
supply chain network management and design. The available problems in the supply chain …

Since the inception of Industry 4.0 in 2012, emerging technologies have enabled the
acquisition of vast amounts of data from diverse sources such as machine tools, robust and …

ABSTRACT This paper considers Enterprise Information Systems functional architecture and
carries out review of AI applications integrated in Customer Relationship Management …