Smart production planning and control in the Industry 4.0 context: A systematic literature review

A Bueno, M Godinho Filho, AG Frank - Computers & industrial engineering, 2020 - Elsevier
Scholars and practitioners have considered Industry 4.0 a comprehensive set of emerging
technologies that establish a new industrial perspective based on the “Internet of Things”. As …

Automated guided vehicle systems, state-of-the-art control algorithms and techniques

M De Ryck, M Versteyhe, F Debrouwere - Journal of Manufacturing …, 2020 - Elsevier
Automated guided vehicles (AGVs) form a large and important part of the logistic transport
systems in today's industry. They are used on a large scale, especially in Europe, for over a …

Extending the lean value stream mapping to the context of Industry 4.0: An agent-based technology approach

W de Paula Ferreira, F Armellini… - Journal of Manufacturing …, 2022 - Elsevier
With the advancement of the 4th industrial revolution and its enabling technologies,
researchers and practitioners discuss the mutual relationships and integration of Lean …

The evolution of production scheduling from Industry 3.0 through Industry 4.0

Z Jiang, S Yuan, J Ma, Q Wang - International Journal of …, 2022 - Taylor & Francis
Since the Third Industrial Revolution, technology and the global economy have developed
rapidly. Driven by market demand and the development of science and technology, the …

Multi-agent system and reinforcement learning approach for distributed intelligence in a flexible smart manufacturing system

YG Kim, S Lee, J Son, H Bae, B Do Chung - Journal of Manufacturing …, 2020 - Elsevier
Personalized production has emerged as a result of the increasing customer demand for
more personalized products. Personalized production systems carry a greater amount of …

A model-based Digital Twin to support responsive manufacturing systems

MC Magnanini, TAM Tolio - CIRP Annals, 2021 - Elsevier
Manufacturing systems are subject to continuous changing conditions, which are due both to
external reasons (eg changing demand) and to the natural system evolution,(eg machine …

[HTML][HTML] Daydreaming factories

A Nassehi, M Colledani, B Kádár, E Lutters - CIRP Annals, 2022 - Elsevier
Optimisation of factories, a cornerstone of production engineering for the past half century,
relies on formulating the challenges with limited degrees of freedom. In this paper …

Self-repair of smart manufacturing systems by deep reinforcement learning

BI Epureanu, X Li, A Nassehi, Y Koren - CIRP Annals, 2020 - Elsevier
Smart manufacturing is built on complex decision-making in real-time based on data from
networked machines and sensors. As a potential enabler of smart manufacturing …

An agile production network enabled by reconfigurable manufacturing systems

BI Epureanu, X Li, A Nassehi, Y Koren - CIRP Annals, 2021 - Elsevier
Emergencies, and efforts to address them, create disruptions to local and global supply
chains and surges in demand of emergency resources, which substantially affect global …

Distributing decision-making authority in manufacturing–review and roadmap for the factory of the future

O Antons, JC Arlinghaus - International Journal of Production …, 2022 - Taylor & Francis
The question of the benefits of autonomous control is more important than ever: production
managers, governments and society hope that the vision of smart and digital production …