Challenges for the cyber-physical manufacturing enterprises of the future

H Panetto, B Iung, D Ivanov, G Weichhart… - Annual reviews in …, 2019 - Elsevier
This paper summarizes a vision of the challenges facing the so-called “Industry of the
Future” as studied by the research community of the IFAC Coordinating Committee 5 on …

Intelligent maintenance systems and predictive manufacturing

J Lee, J Ni, J Singh, B Jiang… - Journal of …, 2020 - asmedigitalcollection.asme.org
With continued global market growth and an increasingly competitive environment,
manufacturing industry is facing challenges and desires to seek continuous improvement …

Distributed control of production systems

D Trentesaux - Engineering Applications of Artificial Intelligence, 2009 - Elsevier
This editorial introduces the special issue of the Elsevier journal, Engineering Application of
Artificial Intelligence, on Distributed control of production systems. The current technology in …

Benchmarking flexible job-shop scheduling and control systems

D Trentesaux, C Pach, A Bekrar, Y Sallez… - Control Engineering …, 2013 - Elsevier
Benchmarking is comparing the output of different systems for a given set of input data in
order to improve the system's performance. Faced with the lack of realistic and operational …

Local machine learning model-based multi-objective optimization for managing system interdependencies in production: A case study from the ironmaking industry

M Vuković, G Koutroulis, B Mutlu, P Krahwinkler… - … Applications of Artificial …, 2024 - Elsevier
Modeling interdependencies in a production process is a vital aspect of process
engineering. Being built on the fundamental understanding of the process and capturing …

Intelligent products: The grace experience

P Leitão, N Rodrigues, J Barbosa, C Turrin… - Control Engineering …, 2015 - Elsevier
Product intelligence is a new industrial manufacturing control paradigm aligned with the
context of cyber-physical systems and addressing the current requirements of flexibility …

An agent-based decision support system for resources' scheduling in emergency supply chains

SB Othman, H Zgaya, M Dotoli, S Hammadi - Control Engineering Practice, 2017 - Elsevier
We propose a multi-agent-based architecture for the management of Emergency Supply
Chains (ESCs), in which each zone is controlled by an agent. A Decision Support System …

Re-thinking diagnosis for future automation systems: An analysis of current diagnostic practices and their applicability in emerging IT based production paradigms

L Ribeiro, J Barata - Computers in Industry, 2011 - Elsevier
With the advent of the Internet and the progressive development and consolidation of a wide
range of web standards and technologies as well as the advances in distributed artificial …

Developments in integration of advanced monitoring systems

P Oborski - The International Journal of Advanced Manufacturing …, 2014 - Springer
Monitoring is an important part of manufacturing process control and management. It plays a
crucial role in ensuring agility in a manufacturing system, process robustness …

Advanced control in factory automation: a survey

M Dotoli, A Fay, M Miśkowicz… - International Journal of …, 2017 - Taylor & Francis
This paper provides a survey of the main advanced control techniques currently adopted in
factory automation. In particular, it focuses on five classes of control approaches, namely …