Digital twin-based designing of the configuration, motion, control, and optimization model of a flow-type smart manufacturing system

Q Liu, J Leng, D Yan, D Zhang, L Wei, A Yu… - Journal of Manufacturing …, 2021 - Elsevier
… and design accuracy. This paper defines the quad-play CMCO (ie, Configuration-Motion-Control-Optimization)
design … the similarity of a flow-type smart manufacturing system abstractly. …

Machine learning for predictive scheduling and resource allocation in large scale manufacturing systems

C Morariu, O Morariu, S Răileanu, T Borangiu - Computers in Industry, 2020 - Elsevier
production cycle using Long Short-term Memory neural networks (LSTM) and deep learning
in real time, and optimizing resource … on the product type or configuration. Like in operations …

[HTML][HTML] Industry 4.0 smart reconfigurable manufacturing machines

J Morgan, M Halton, Y Qiao, JG Breslin - Journal of Manufacturing Systems, 2021 - Elsevier
… formation, for personal production in a “micro factorysetting. This solution is a … line
balancing algorithms to obtain optimal performance and reduce costs in a distributed production

[图书][B] Design for manufacturability: how to use concurrent engineering to rapidly develop low-cost, high-quality products for lean production

DM Anderson - 2020 - taylorfrancis.com
… products and versatile processing equipment for low-volume/high-mix product varieties
Designing … Using cellular manufacturing to shift production between lines for mixed production of …

Digital twin-driven rapid reconfiguration of the automated manufacturing system via an open architecture model

J Leng, Q Liu, S Ye, J Jing, Y Wang, C Zhang… - … manufacturing, 2020 - Elsevier
… to support the designing and multi-objective optimization of the hollow glass production line.
Liu … The optimal number of resource nodes configured on the gateways can be dynamically …

Digital twins-based smart manufacturing system design in Industry 4.0: A review

J Leng, D Wang, W Shen, X Li, Q Liu, X Chen - Journal of manufacturing …, 2021 - Elsevier
… Decisions on the selection and configuration of resources should be optimized in the
design process. The goal of the MSD is to find the design solution that yields the optimal

A decision-support model for additive manufacturing scheduling using an integrative analytic hierarchy process and multi-objective optimization

K Ransikarbum, R Pitakaso, N Kim - Applied Sciences, 2020 - mdpi.com
… printers generally require special support structures to fabricate overhanging designs, a part
… the XY directions was instead used as a setting capacity to place multiple parts in either ME …

Preventive maintenance scheduling optimization based on opportunistic production-maintenance synchronization

L Li, Y Wang, KY Lin - Journal of Intelligent Manufacturing, 2021 - Springer
… , cannot be used, (4) the actual production line is too complicated to verify the model, etc. …
production line data. It schedules maintenance personnel, and optimizes the configuration of …

Simulation in the design and operation of manufacturing systems: state of the art and new trends

D Mourtzis - International Journal of Production Research, 2020 - Taylor & Francis
… which, the exploitation of the available resources and their optimal setup can contribute
in the overall sustainability of the production facilities (Salonitis and Stavropoulos Citation2013). …

Evolution and future of manufacturing systems

H ElMaraghy, L Monostori, G Schuh, W ElMaraghy - CIRP Annals, 2021 - Elsevier
optimize the design of the product platform. It is an important enabler of product mass
customization by designing manufacturing … in design, configuration, size, location, and production