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 …

Factories of the future: challenges and leading innovations in intelligent manufacturing

R Jardim-Goncalves, D Romero… - International Journal of …, 2017 - Taylor & Francis
This paper reviews some of the most recently reported research into challenges and leading
innovations in intelligent manufacturing for the Factories of the Future (FoF). Such research …

Smart energy-aware manufacturing plant scheduling under uncertainty: A risk-based multi-objective robust optimization approach

H Golpîra - Energy, 2020 - Elsevier
Considering economic and environmental concerns as well as thermal and visual comfort
requirements, this paper introduces the idea of Smart Energy-Aware Manufacturing Plant …

Digital-twin-based job shop multi-objective scheduling model and strategy

Z Zhou, L Xu, X Ling, B Zhang - International Journal of Computer …, 2024 - Taylor & Francis
Job scheduling is an important part of production management and an effective method for
increasing productivity, improving enterprise competitiveness, and reducing production …

An energy-aware cyber physical system for energy Big data analysis and recessive production anomalies detection in discrete manufacturing workshops

C Zhang, Z Wang, K Ding, FTS Chan… - International Journal of …, 2020 - Taylor & Francis
With the development of sensing and communications technology, some new features have
emerged in manufacturing processes, such as highly correlated, deeply integrated …

Drivers and barriers to competitive carbon footprint reduction in manufacturing supply chain: a brief review

OO Olatunji, SA Akinlabi, OO Ayo, N Madushele… - Procedia …, 2019 - Elsevier
The manufacturing sector has been identified as a major contributor to global carbon
emission. The future product demands are linked to the manufacturing and consumption of …

A survey of artificial neural network-based prediction models for thermal properties of biomass

O Obafemi, A Stephen, O Ajayi, M Nkosinathi - Procedia Manufacturing, 2019 - Elsevier
The global community has supported the need for sustainable and renewable energy due to
environmental concerns from the greenhouse gas emission. Biomass stands as one of the …

Energy consumption control in the two-machine Bernoulli serial production line with setup and idleness

Z Pei, P Yang, Y Wang, CB Yan - International Journal of …, 2023 - Taylor & Francis
In recent years, the topic of sustainable manufacturing system design with energy saving
features has received increasing attention. For a typical production line setting, the …

A novel grey forecasting model and its application in forecasting the energy consumption in Shanghai

K Li, T Zhang - Energy Systems, 2021 - Springer
Prediction of energy consumption for a country (region) plays critical roles in economy and
energy security, and accurate energy consumption forecasting is valuable for policy makers …

A clustering-based energy consumption evaluation method for process industries with multiple energy consumption patterns

L Sun, Y Ji, Z Sun, Q Li, Y ** - International Journal of Computer …, 2023 - Taylor & Francis
The production systems in process industries are confirmed to be tremendously energy-
consuming, and the trust in promoting their energy efficiency has become a concern, with its …