Some logistics firms use supply chain digital twins to predict abnormal situations and work out an action plan. Also, supply chain digital twins can be used for Understanding supply chain dynamics and behavior, Bottleneck discovery, Testing supply chain design changes and development, Monitoring risk and testing contingencies, Transportation planning, Inventory optimization, Cash-to-serve and cost-to-serve analysis, Forecasting and testing operations over the coming days and weeks
Both modern multi- and intermodal supply chains pose a significant challenge to control and maintain...
This article presents a Digital Twin (DT) for the logistics system of a manufacturing enterprise usi...
Digitalisation and automation of existing processes are key competitive factors for industry. Still,...
Background: Digital supply chain twins (DSCT) are gaining increased attention in academia and practi...
Data-driven decision-making process can be defined to be the sequential activities of real-time data...
The supply chains shaping their distribution networks become more diverse as companies respond to gl...
PurposeApplication of digital twin to optimise operations and supply chain management functions is a...
With industrial internet revolutionizing many ways we use data, companies and public sector alike ar...
Digital supply chain twins (DSCT) are often considered as one of the most promising technologies to ...
Digital Twins (DTs) are widely discussed in the context of the Industry 4.0 paradigm as one of the m...
The logistics industry is undergoing a profound transformation to cope with the fundamental changes ...
Background: As the Internet of Things (IoT) has become more prevalent in recent years, digital twins...
As the adoption of Industry 4.0 advances and the manufacturing process becomes increasingly digital,...
Manufacturing companies are under pressure to build faster and more efficient decision-making capabi...
23rdCambridge International Manufacturing SymposiumUniversity of Cambridge, 26 –27 September 20191Su...
Both modern multi- and intermodal supply chains pose a significant challenge to control and maintain...
This article presents a Digital Twin (DT) for the logistics system of a manufacturing enterprise usi...
Digitalisation and automation of existing processes are key competitive factors for industry. Still,...
Background: Digital supply chain twins (DSCT) are gaining increased attention in academia and practi...
Data-driven decision-making process can be defined to be the sequential activities of real-time data...
The supply chains shaping their distribution networks become more diverse as companies respond to gl...
PurposeApplication of digital twin to optimise operations and supply chain management functions is a...
With industrial internet revolutionizing many ways we use data, companies and public sector alike ar...
Digital supply chain twins (DSCT) are often considered as one of the most promising technologies to ...
Digital Twins (DTs) are widely discussed in the context of the Industry 4.0 paradigm as one of the m...
The logistics industry is undergoing a profound transformation to cope with the fundamental changes ...
Background: As the Internet of Things (IoT) has become more prevalent in recent years, digital twins...
As the adoption of Industry 4.0 advances and the manufacturing process becomes increasingly digital,...
Manufacturing companies are under pressure to build faster and more efficient decision-making capabi...
23rdCambridge International Manufacturing SymposiumUniversity of Cambridge, 26 –27 September 20191Su...
Both modern multi- and intermodal supply chains pose a significant challenge to control and maintain...
This article presents a Digital Twin (DT) for the logistics system of a manufacturing enterprise usi...
Digitalisation and automation of existing processes are key competitive factors for industry. Still,...