Artificial-intelligence-driven customized manufacturing factory: key technologies, applications, and challenges

J Wan, X Li, HN Dai, A Kusiak… - Proceedings of the …, 2020 - ieeexplore.ieee.org
The traditional production paradigm of large batch production does not offer flexibility toward
satisfying the requirements of individual customers. A new generation of smart factories is …

Methods of forecasting electric energy consumption: A literature review

RV Klyuev, ID Morgoev, AD Morgoeva, OA Gavrina… - Energies, 2022 - mdpi.com
Balancing the production and consumption of electricity is an urgent task. Its implementation
largely depends on the means and methods of planning electricity production. Forecasting is …

Application of an artificial neural network to optimise energy inputs: An energy-and cost-saving strategy for commercial poultry farms

E Elahi, Z Zhang, Z Khalid, H Xu - Energy, 2022 - Elsevier
The current study estimates target values of energy inputs along with an assessment of
energy-and cost-saving strategies for poultry farms. In 2019, cross-sectional data were …

Evaluating challenges to Industry 4.0 initiatives for supply chain sustainability in emerging economies

S Luthra, SK Mangla - Process safety and environmental protection, 2018 - Elsevier
Industry 4.0 initiatives can influence whole business system via transforming the means the
products are designed, produced, delivered and discarded. Industry 4.0 is relatively novel to …

Practical application of the Industry 4.0 concept in a steel company

R Miśkiewicz, R Wolniak - Sustainability, 2020 - mdpi.com
The primary aim of this paper was to present and analyze practical solutions of Industry 4.0
as applied in the Re Alloys company. The research question was whether the …

[HTML][HTML] Application of machine learning tools for energy efficiency in industry: A review

DAC Narciso, FG Martins - Energy Reports, 2020 - Elsevier
The current industrial context favors the generation of large amounts of data, most of which
still seems to remain unexplored by the majority of enterprises. This paper presents a …

Towards decision support systems for energy management in the smart industry and Internet of Things

J Li, J Dai, A Issakhov, SF Almojil, A Souri - Computers & Industrial …, 2021 - Elsevier
Abstract Decision Support Systems (DSS) have widely provided on intelligent human–
machine interactions like the Internet of Things (IoT). As the dimensions and complexity of …

A systematic literature review of cloud computing use in supply chain integration

L Novais, JM Maqueira, Á Ortiz-Bas - Computers & Industrial Engineering, 2019 - Elsevier
This paper analyzes the current state of research into Cloud Computing and Supply Chain
Integration with the objective to identify the findings to date, the areas of study developed …

Looking at energy through the lens of Industry 4.0: A systematic literature review of concerns and challenges

FST da Silva, CA da Costa, CDP Crovato… - Computers & Industrial …, 2020 - Elsevier
The concept of Industry 4.0 is gaining more and more attention worldwide, where
technologies related to the Internet of Things (IoT), Big Data (BD), and Cyber-Physical …

Green energy harvesting strategies on edge-based urban computing in sustainable internet of things

M Lu, G Fu, NB Osman, U Konbr - Sustainable Cities and Society, 2021 - Elsevier
The development of intelligent urban computing has carried out different critical smart
ecological and energy harvesting topics such as intelligent cities and societies. The main …