Process mining techniques and applications–A systematic mapping study

C dos Santos Garcia, A Meincheim, ERF Junior… - Expert Systems with …, 2019 - Elsevier
Process mining is a growing and promising study area focused on understanding processes
and to help capture the more significant findings during real execution rather than, those …

Data management in industry 4.0: State of the art and open challenges

TP Raptis, A Passarella, M Conti - IEEE Access, 2019 - ieeexplore.ieee.org
Information and communication technologies are permeating all aspects of industrial and
manufacturing systems, expediting the generation of large volumes of industrial data. This …

A time-driven data placement strategy for a scientific workflow combining edge computing and cloud computing

B Lin, F Zhu, J Zhang, J Chen, X Chen… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Compared to traditional distributed computing environments such as grids, cloud computing
provides a more cost-effective way to deploy scientific workflows. Each task of a scientific …

Digital twin and blockchain enhanced smart manufacturing service collaboration and management

F Tao, Y Zhang, Y Cheng, J Ren, D Wang, Q Qi… - Journal of Manufacturing …, 2022 - Elsevier
Recently, as the development of information technologies and personalized needs, the
Industrial Internet platform based manufacturing service collaboration becomes the main …

A novel data placement strategy for data-sharing scientific workflows in heterogeneous edge-cloud computing environments

X Du, S Tang, Z Lu, J Wet, K Gai… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
The deployment of datasets in the heterogeneous edge-cloud computing paradigm has
received increasing attention in state-of-the-art research. However, due to their large sizes …

Real-time scheduling of cloud manufacturing services based on dynamic data-driven simulation

L Zhou, L Zhang, L Ren, J Wang - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In service-oriented manufacturing modes, service scheduling is important for providing just-
in-time delivery of manufacturing services to customers. In this paper, the mathematical …

Scientific workflows in IoT environments: a data placement strategy based on heterogeneous edge-cloud computing

X Du, S Tang, Z Lu, K Gai, J Wu… - ACM Transactions on …, 2022 - dl.acm.org
In Industry 4.0 and Internet of Things (IoT) environments, the heterogeneous edge-cloud
computing paradigm can provide a more proper solution to deploy scientific workflows …

A novel model for optimisation of logistics and manufacturing operation service composition in Cloud manufacturing system focusing on cloud-entropy

E Aghamohammadzadeh, M Malek… - International Journal of …, 2020 - Taylor & Francis
In recent years, economic globalisation and manufacturing resource globalisation as two
key factors have driven enterprises to transform their business processes to survive in …

Service composition model and method in cloud manufacturing

M Yuan, Z Zhou, X Cai, C Sun, W Gu - Robotics and Computer-Integrated …, 2020 - Elsevier
This study optimizes service composition on the basis of task requirements to solve the
problem of multitask corresponding multi-service selection. First, the basic path structure and …

Service optimal selection and composition in cloud manufacturing: a comprehensive survey

H Bouzary, F Frank Chen - The International Journal of Advanced …, 2018 - Springer
With the rapid development of cloud manufacturing (CMfg) as a new service-oriented
manufacturing paradigm, a considerable progress has been made in research of different …