A literature review of energy efficiency and sustainability in manufacturing systems

P Renna, S Materi - Applied Sciences, 2021 - mdpi.com
Climate change mitigation, the goal of reducing CO2 emissions, more stringent regulations
and the increment in energy costs have pushed researchers to study energy efficiency and …

Digital twin: current research trends and future directions

KK Alnowaiser, MA Ahmed - Arabian Journal for Science and Engineering, 2023 - Springer
Cyber physical systems, as a backbone of the Fourth Industrial Revolution (IR 4.0), and all
their enabling technologies introduced a relatively newer concept named the digital twin …

Can technology-driven cross-border mergers and acquisitions promote green innovation in emerging market firms? Evidence from China

J Li - Environmental Science and Pollution Research, 2022 - Springer
Emerging markets face severe ecological and environmental problems in periods of
economic and political transition. The existing literature analyses the impact of technology …

Solution of bottlenecks in the logistics flow by applying the kanban module in the tecnomatix plant simulation software

M Pekarcikova, P Trebuna, M Kliment, M Dic - Sustainability, 2021 - mdpi.com
The presented article deals with the issue of solving bottlenecks in the logistics flow of a
manufacturing company. The Tx Plant Simulation software tool is used to detect bottlenecks …

Digital twin-based real-time energy optimization method for production line considering fault disturbances

T Xia, H Sun, Y Ding, D Han, W Qin… - Journal of Intelligent …, 2023 - Springer
In recent years, industrial enterprises are pursuing energy reduction to meet future needs for
sustainable globalization and government legislations for green manufacturing. Most …

Impact of advanced manufacturing technologies on green innovation

I Palčič, J Prester - Sustainability, 2020 - mdpi.com
The main aim of this paper is to evaluate if manufacturing firms can boost their performance
through green innovations. The literature on this topic shows contradictory findings. We have …

Remaining useful life prediction of manufacturing system based on fuzzy Quality State Task Network

X Han, Y He, Z Wang, Y Cai, W Dai - Journal of Manufacturing Systems, 2022 - Elsevier
Accurate prediction of operational state and remaining useful life (RUL) is the premise for
PHM (Prognostic and Health Management) implementation and predictive maintenance …

An effective and efficient divide-and-conquer algorithm for energy consumption optimisation problem in long Bernoulli serial lines

CB Yan, Z Zheng - International Journal of Production Research, 2021 - Taylor & Francis
Reducing energy consumption in the energy-intensive production systems is of great
significance and attracts more and more attention. Although a lot of efforts have been …

Event-driven online machine state decision for energy-efficient manufacturing system based on digital twin using max-plus algebra

J Wang, Y Huang, Q Chang, S Li - Sustainability, 2019 - mdpi.com
Energy-efficient manufacturing is an important aspect of sustainable development in current
society. The rapid development of sensing technologies can collect real-time production …

Problem formulation and solution methodology for energy consumption optimization in Bernoulli serial lines

CB Yan, Z Zheng - IEEE Transactions on Automation Science …, 2020 - ieeexplore.ieee.org
As the main force of energy consumption, machines consume a huge amount of energy in
some production systems. To operate the systems in an energy-efficient way, the efficiencies …