A digital twin to train deep reinforcement learning agent for smart manufacturing plants: Environment, interfaces and intelligence

K Xia, C Sacco, M Kirkpatrick, C Saidy… - Journal of Manufacturing …, 2021 - Elsevier
Filling the gaps between virtual and physical systems will open new doors in Smart
Manufacturing. This work proposes a data-driven approach to utilize digital transformation …

[HTML][HTML] Modeling and implementation of a digital twin of material flows based on physics simulation

M Glatt, C Sinnwell, L Yi, S Donohoe, B Ravani… - Journal of Manufacturing …, 2021 - Elsevier
Cyber-physical production systems enable adaptivity and flexibility when manufacturing
customized products in small batches. Due to varying routes and a high variance of …

Improving just-in-time delivery performance of IoT-enabled flexible manufacturing systems with AGV based material transportation

F Yao, B Alkan, B Ahmad, R Harrison - Sensors, 2020 - mdpi.com
Autonomous guided vehicles (AGVs) are driverless material handling systems used for
transportation of pallets and line side supply of materials to provide flexibility and agility in …

A new approach for evaluating experienced assembly complexity based on Multi Expert-Multi Criteria Decision Making method

E Verna, G Genta, M Galetto - Research in Engineering Design, 2023 - Springer
In manufacturing, complexity is considered a key aspect that should be managed from the
early phases of product and system design to improve performance, including productivity …

A novel diagnostic tool for human-centric quality monitoring in human–robot collaboration manufacturing

E Verna, S Puttero, G Genta… - Journal of …, 2023 - asmedigitalcollection.asme.org
The manufacturing industry is currently facing an increasing demand for customized
products, leading to a shift from mass production to mass customization. As a result …

State of the art and future directions of digital twin-enabled smart assembly automation in discrete manufacturing industries

L Webb, OM Tokhi, B Alkan - International Journal of Computer …, 2024 - Taylor & Francis
Digital twin (DT) technology is increasingly recognised for its potential to transform the
manufacturing industry, particularly in assembly automation. By offering real-time insights …

Defect prediction for assembled products: a novel model based on the structural complexity paradigm

E Verna, G Genta, M Galetto, F Franceschini - The International Journal of …, 2022 - Springer
Increased assembly complexity is one of the main challenges in manufacturing as it can
induce an increase in time, cost, and defects. Several approaches have been proposed in …

A component-based design approach for energy flexibility in cyber-physical manufacturing systems

F Assad, EJ Rushforth, R Harrison - Journal of Intelligent Manufacturing, 2023 - Springer
Energy flexibility of manufacturing systems helps to meet sustainable manufacturing
requirements and is getting significant importance with rising energy prices and noticeable …

Toward a concept of digital twin for monitoring assembly and disassembly processes

E Verna, S Puttero, G Genta, M Galetto - Quality Engineering, 2024 - Taylor & Francis
Quality is one of the key factors in the customer's selection process between competing
products. Producing high-quality, defect-free products that meet consumer expectations is …

Effects of product complexity on human learning in assembly and disassembly operations

E Verna, G Genta, M Galetto - Journal of Manufacturing Technology …, 2023 - emerald.com
Purpose The purpose of this paper is to investigate and quantify the impact of product
complexity, including architectural complexity, on operator learning, productivity and quality …