A review of machine learning applications for underground mine planning and scheduling

P Chimunhu, E Topal, AD Ajak, W Asad - Resources Policy, 2022 - Elsevier
Production planning and scheduling optimisation for underground mining operations has
continued to attract significant attention over the last decades. This has been necessitated …

A data-oriented shopfloor management in the production context: a systematic literature review

P Eichenseer, H Winkler - The International Journal of Advanced …, 2024 - Springer
Data not only plays an essential role in traditional shopfloor management, but it is also
becoming even more important in Industry 4.0, particularly due to the increasing possibilities …

Digitalization platform for data-driven quality management in multi-stage manufacturing systems

MA Filz, JP Bosse, C Herrmann - Journal of Intelligent Manufacturing, 2024 - Springer
Digital transformation is driving the current technological trends in manufacturing. An
integral constituent is a communication between machines, between machines and humans …

[HTML][HTML] Digital Assistance Systems to Implement Machine Learning in Manufacturing: A Systematic Review

J Rosemeyer, M Pinzone, J Metternich - Machine Learning and …, 2024 - mdpi.com
Implementing machine learning technologies in manufacturing environment relies heavily
on human expertise in terms of domain and machine learning knowledge. Yet, the required …

The development of a generic IIOT framework for an industrial pneumatic system

J Mallia, E Francalanza, P Xuereb, P Refalo - Procedia CIRP, 2024 - Elsevier
The development of digital technologies, such as Cyber Physical Systems (CPS) and
Industrial Internet of Things (IIoT), under the umbrella of Industry 4.0, has increased rapidly …

Design decisions for integrating Prescriptive Analytics Use Cases into Smart Factories

J Weller, N Migenda, S von Enzberg, M Kohlhase… - Procedia CIRP, 2024 - Elsevier
The emerging trend of Prescriptive Analytics tries to prescribe actionable decisions. The
goal is to help production experts in automating their decisions in the factory. Decision …

[HTML][HTML] Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories

J Weller, N Migenda, Y Naik, T Heuwinkel, A Kühn… - Mathematics, 2024 - mdpi.com
Prescriptive analytics plays an important role in decision making in smart factories by
utilizing the available data to gain actionable insights. The planning, integration and …

[HTML][HTML] Big data in the business environment: An analysis of its contributions to Competitiveness. A Literature Review

OA León García, LF Parra Acero - Ingeniería y competitividad, 2024 - scielo.org.co
In the era of Industry 4.0, characterized by transformative technological advancements
reshaping manufacturing processes, big data has become a common practice in business …

A new perspective for solving manufacturing scheduling based problems respecting new data considerations

MA Awad, HM Abd-Elaziz - Processes, 2021 - mdpi.com
In order to attain high manufacturing productivity, industry 4.0 merges all the available
system and environment data that can empower the enabled-intelligent techniques. The use …

Strategies for evolving IoT-based Product–Service Systems from Emergent Synthesis Perspective

T Takenaka, A Ashima, N Nishino - Procedia CIRP, 2022 - Elsevier
Recent digital technologies such as internet of things (IoT) and artificial intelligence (AI) are
expected to transform business architectures in many industries. In fact, the use of digital …