A review: Insight into smart and sustainable ultra-precision machining augmented by intelligent IoT

Z Xu, T Zhu, FL Luo, B Zhang, H Poon, WS Yip… - Journal of Manufacturing …, 2024 - Elsevier
Abstract Ultra-precision machining (UPM), which is capable of fabricating micro-components
with less than 0.2 µm forming accuracy and 10 nm surface accuracy, is becoming …

Enhanced time-constraint aware tasks scheduling mechanism based on predictive optimization for efficient load balancing in smart manufacturing

N Iqbal, AN Khan, A Rizwan, F Qayyum, S Malik… - Journal of Manufacturing …, 2022 - Elsevier
Smart manufacturing has great potential for developing customized products to meet the
dynamic needs of customers and a collaborative network to enhance production efficiency. It …

A hybrid scheduling mechanism based on agent cooperation mechanism and fair emergency first in smart factory

S Malik, DH Kim - IEEE Access, 2020 - ieeexplore.ieee.org
Smart factory also known as smart manufacturing is an emerging field with the revolution of
industry 4.0. With the help of all these concepts, the smart factory integrates the …

A container-based cloud-native architecture for the reproducible execution of multi-population optimization algorithms

MG Valdez, JJM Guervós - Future Generation Computer Systems, 2021 - Elsevier
Splitting a population into multiple instances is a technique used extensively in recent years
to help improve the performance of nature-inspired optimization algorithms. Work on those …

Scalable distributed evolutionary algorithm orchestration using Docker containers

P Dziurzanski, S Zhao, M Przewozniczek… - Journal of …, 2020 - Elsevier
In smart factories, integrated optimisation of manufacturing process planning and scheduling
leads to better results than a traditional sequential approach but is computationally more …

[HTML][HTML] Improved control scheduling based on learning to prediction mechanism for efficient machine maintenance in smart factory

S Malik, DH Kim - Actuators, 2021 - mdpi.com
The prediction mechanism is very crucial in a smart factory as they widely help in improving
the product quality and customer's experience based on learnings from past trends. The …

A complete run-time overhead-aware schedulability analysis for MrsP under nested resources

S Zhao, J Garrido, R Wei, A Burns, A Wellings… - Journal of Systems and …, 2020 - Elsevier
Abstract Multiprocessor Resource Sharing Protocol (MrsP) is a hard real-time multiprocessor
resource sharing protocol for fully partitioned fixed-priority systems, and adopts a novel …

[HTML][HTML] Akıllı Fabrikalarda Çizelgeleme Yöntemlerinin Analizi

R Manzak, O Engin - Verimlilik Dergisi, 2023 - dergipark.org.tr
Amaç: Bu çalışmanın amacı, Akıllı Fabrikalarda gerçekleştirilen çizelgeleme yöntemlerini
incelemektir. Yöntem: Bu çalışmada, veri kaynağı olarak,“Google Scholar” üzerinden …

Integrated Process Planning and Scheduling in Commercial Smart Kitchens

P Dziurzanski, S Zhao, LS Indrusiak - arXiv preprint arXiv:1910.03322, 2019 - arxiv.org
This paper describes the possibility of applying a generic, cloud-based Optimisation as a
Service facility to food cooking planning and scheduling in a commercial kitchen. We …

No-Touch Ordering for Multi-Site Manufacturing Beyond Industry 4.0

J Tay, PS Tan, XJ Kom - Proceedings of the 13th Conference on …, 2023 - papers.ssrn.com
As manufacturers face increasing demands for fast response to highly personalised small-
volume production, new models will be needed that can leverage Industry 4.0 technologies …