A real-time adaptive dynamic scheduling method for manufacturing workshops based on digital twin DOI
Wenbin Gu, L. Duan, Siqi Liu

и другие.

Flexible Services and Manufacturing Journal, Год журнала: 2024, Номер unknown

Опубликована: Дек. 23, 2024

Язык: Английский

Cloud-edge-end collaborative multi-process dynamic optimization for energy-efficient aluminum casting DOI
Weipeng Liu, Hao Wang, Pai Zheng

и другие.

Journal of Manufacturing Systems, Год журнала: 2025, Номер 79, С. 217 - 233

Опубликована: Янв. 27, 2025

Язык: Английский

Процитировано

1

A human-centric methodology for the co-evolution of operators’ skills, digital tools and user interfaces to support the Operator 4.0 DOI Creative Commons
Fabio Grandi,

Contini Giuditta,

Margherita Peruzzini

и другие.

Robotics and Computer-Integrated Manufacturing, Год журнала: 2024, Номер 91, С. 102854 - 102854

Опубликована: Авг. 15, 2024

The concept of Operator 4.0 has been recently defined to evolve the modern industrial scenarios by defining a knowledge sharing process from/to operators and systems, creating personalized skills, introducing digital tools towards socially sustainable factories. In this context, dynamic adaptive user interfaces can make humans part intelligent factory system, supporting human work contextually providing specific contents when needed, preserving wellbeing. This paper defines human-centric methodology for symbiotic co-evolution operators' assistive interfaces, developed within Horizon Europe project titled "DaCapo - Digital assets Circular value chains manufacturing products". focuses on new set services industry capable boosting application circular economy (CE) throughout chains. proposed link needs an case definition most proper functionalities drive design adaptive, proactive 4.0. method applied validated one use cases, involving company operating in warehousing logistics.

Язык: Английский

Процитировано

6

Dynamic production scheduling and maintenance planning under opportunistic grouping DOI

Nada Ouahabi,

Ahmed Chebak,

Oulaïd Kamach

и другие.

Computers & Industrial Engineering, Год журнала: 2024, Номер unknown, С. 110646 - 110646

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

3

Milling surface roughness monitoring using real-time tool wear data DOI
Runqiong Wang, Qinghua Song,

Yezhen Peng

и другие.

International Journal of Mechanical Sciences, Год журнала: 2024, Номер 285, С. 109821 - 109821

Опубликована: Ноя. 15, 2024

Язык: Английский

Процитировано

3

On Digital Twins for Cloud Continuum Applications DOI
Luiz F. Bittencourt, Kelly Rosa Braghetto, Daniel Cordeiro

и другие.

Lecture notes in computer science, Год журнала: 2025, Номер unknown, С. 286 - 293

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

A novel dynamic spatio-temporal graph based condition monitoring framework for consistency retention of digital twin DOI
Xiaofeng Wang, Jihong Yan, Xun Xu

и другие.

Journal of Manufacturing Systems, Год журнала: 2025, Номер 79, С. 455 - 465

Опубликована: Фев. 11, 2025

Язык: Английский

Процитировано

0

Towards Industry 5.0: digital twin-enhanced approach for dynamic supply chain rescheduling with real-time order arrival and acceptance DOI
Xing Zhu, Baoyu Liao,

Yexing Shen

и другие.

International Journal of Production Research, Год журнала: 2025, Номер unknown, С. 1 - 23

Опубликована: Март 24, 2025

Язык: Английский

Процитировано

0

Enhancing Production Efficiency Through Digital Twin Simulation Scheduling DOI Creative Commons
Patrik Grznár,

Ladislav Papánek,

Milan Marčan

и другие.

Applied Sciences, Год журнала: 2025, Номер 15(7), С. 3637 - 3637

Опубликована: Март 26, 2025

Flexible custom manufacturing is becoming increasingly important, and, in the near future, it will serve as a key method to counter growing competition and meet market demands across most industrial sectors. This situation necessitates substantial reorganization of companies’ material information flows, traditional planning approaches focused on serial production longer time horizons are gradually losing their effectiveness. An integrated digital twin system that unifies logistics emerging promising solution. The proposed approach entails implementing directly within manufacturing, enabling continuous monitoring real-time adjustment plans based instant data from sensors systems. architecture designed around multiple modules responsible for collection processing, scheduling, simulation, statistical analysis, effective communication between its users. By leveraging these components, solution can flexibly adapt any deviations or changes they occur. Within scope this research, attention devoted not only handling dynamic random but also prioritization individual orders. Equally emphasized role intelligent tools, which promptly inform us about shifts process allow rapid plan modifications ensure highest possible levels efficiency reliability.

Язык: Английский

Процитировано

0

Metrology and Manufacturing-Integrated Digital Twin (MM-DT) for Advanced Manufacturing: Insights from Coordinate Measuring Machine (CMM) and FARO Arm Measurements DOI

Hamidreza Samadi,

Md Manjurul Ahsan, Shivakumar Raman

и другие.

Next research., Год журнала: 2025, Номер unknown, С. 100299 - 100299

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

No-wait lines optimisation: a procedure based on scheduling enhanced by digital twin DOI Creative Commons
Mario Caterino, Roberto Macchiaroli, Stefano de Miranda

и другие.

Flexible Services and Manufacturing Journal, Год журнала: 2025, Номер unknown

Опубликована: Апрель 22, 2025

Abstract The no-wait scheduling problem involves planning the sequence of tasks in a job without any delay. This constraint is crucial industries where production interruptions may create significant inefficiencies or quality issues. paper addresses this by proposing new methodology to design and verify work-cycle related layout, focusing on both job-shop flow-shop environments finally proving its efficiency thanks use digital twin validate process. goal optimisation makespan minimisation it achieved through application timetabling heuristic method. iterative nature proposed model allows for continuous improvement scheduling, queue reduction verified twin. procedure tested real galvanic line primary aerospace international company; results show that guarantees respect times, which concur increase demand satisfaction company.

Язык: Английский

Процитировано

0