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 …

This paper provides a comprehensive review of discrete event simulation publications
published between 2002 and 2013 with a particular focus on applications in manufacturing …

Modern cluster storage systems perform a variety of background tasks to improve the
performance, availability, durability, and cost-efficiency of stored data. For example, cleaners …

During the past few years, research in applying machine learning (ML) to design efficient,
effective, and robust metaheuristics has become increasingly popular. Many of those …

Firms currently operate in highly competitive scenarios, where the environmental conditions
evolve over time. Many factors intervene simultaneously and their hard-to-interpret …

The Internet of Things (IoT) is a computing paradigm whereby everyday life objects are
augmented with computational and wireless communication capabilities, typically through …

A flexible manufacturing system (FMS) due to its ability of being flexible in nature is
concerned with automatic production of different parts in medium range. In short, it can be …

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

This paper provides a classification of manufacturing types in terms of new technological
tools provided in the Industry 5.0 framework. The manufacturing types agile, holonic, flexible …

Abstract Machine learning (ML) techniques are rapidly evolving, both in academia and
practice. However, enterprises show different maturity levels in successfully implementing …