[HTML][HTML] A review of further directions for artificial intelligence, machine learning, and deep learning in smart logistics

M Woschank, E Rauch, H Zsifkovits - Sustainability, 2020 - mdpi.com
Industry 4.0 concepts and technologies ensure the ongoing development of micro-and
macro-economic entities by focusing on the principles of interconnectivity, digitalization, and …

Business analytics in Industry 4.0: A systematic review

AJ Silva, P Cortez, C Pereira, A Pilastri - Expert systems, 2021 - Wiley Online Library
Abstract Recently, the term “Industry 4.0” has emerged to characterize several Information
Technology and Communication (ICT) adoptions in production processes (eg, Internet‐of …

[PDF][PDF] How industry 4.0 can enhance lean practices.

AC Pereira, J Dinis-Carvalho, AC Alves… - Fme …, 2019 - researchgate.net
The global industrial landscape has deeply changed over the last few years and the Industry
4.0 concept has emerged, being enabled by successive disruptive innovations and …

Human-computer interaction in industry: A systematic review on the applicability and value-added of operator assistance systems

M Moencks, E Roth, T Bohné… - … and Trends® in …, 2022 - nowpublishers.com
Abstract In industry, the Fourth Industrial Revolution is transforming the roles of people,
technology and work on the shop floor. Despite ongoing strides towards automation, people …

[HTML][HTML] Intelligent Decision Support Systems—An Analysis of Machine Learning and Multicriteria Decision-Making Methods

R Ali, A Hussain, S Nazir, S Khan, HU Khan - Applied Sciences, 2023 - mdpi.com
Context: The selection and use of appropriate multi-criteria decision making (MCDM)
methods for solving complex problems is one of the challenging issues faced by decision …

An inventory data-driven model for predictive-reactive production scheduling

SL Takeda-Berger, EM Frazzon - International Journal of …, 2024 - Taylor & Francis
Scheduling is a complex task due to the need to optimise multiple competing objectives and
react to unpredictable events that may occur during production execution. The strategy of …

Big data, scientific programming, and its role in internet of industrial things: a decision support system

J Li, M Nazir Jan, M Faisal - Scientific Programming, 2020 - Wiley Online Library
Big data is a challenging issue as its volume, shape, and size need to be modified in order
to extract important information for a specific purpose. The amount of data is rising with the …

Learning-based production, maintenance, and quality optimization in smart manufacturing systems: A literature review and trends

PD Paraschos, DE Koulouriotis - Computers & Industrial Engineering, 2024 - Elsevier
With the introduction of manufacturing paradigms, including Industry 4.0, production
research has shifted its focus to enabling intelligent manufacturing systems within industrial …

Smart monitoring of wireless environments with real-time aggregation and analysis

S Itaya, F Ohori, T Osuga, T Matsumura - Procedia Computer Science, 2023 - Elsevier
A distributed network monitoring system has been designed and implemented for smart
monitoring of complex indoor wireless environments to support management of wireless …

Machine learning in production scheduling: an overview of the academic literature

SL Takeda-Berger, EM Frazzon, E Broda… - … Conference on Dynamics …, 2020 - Springer
Production scheduling is an important tool for a manufacturing system, where it can have a
significant impact on the productivity of a production process. In this sense, the application of …