This paper seeks to identify the contributions of artificial intelligence (AI) to supply chain
management (SCM) through a systematic review of the existing literature. To address the …

The Internet of Things (IoT) has realised the fourth industrial revolution concept; however, its
applications in the manufacturing industry are relatively sparse and primarily investigated …

Since 1960s, with the development of societal and related technologies, many advanced
manufacturing systems (AMSs) and modes have been put forward, and they have attracted …

Industry 4.0 is based on the digitization of manufacturing industries and has raised the
prospect for substantial improvements in productivity, quality, and customer satisfaction. This …

The principal objective of this research is to provide a framework that captures the main
software architecture elements for developing highly customised simulation tools that …

The recent financial crisis and other major crises have suggested that there are some strong
interactions and interdependence between several supply chains and their external …

The manufacturing sector as a whole has undergone remarkable changes in terms of scale,
complexity and technology over the past decades and this applies across most modern high …

Digital Supply Chain Surveillance (DSCS) is the proactive monitoring and analysis of digital
data that allows firms to extract information related to a supply network, without the explicit …

This paper presents a methodology for evaluating city logistics measures considering the
behaviour of several stakeholders associated with urban freight transport using a multi …

Agent-based systems have the capability to fuse information from many distributed sources
and create better plans faster. This feature makes agent-based systems naturally suitable to …