Flow-shop path planning for multi-automated guided vehicles in intelligent textile spinning cyber-physical production systems dynamic environment
Aiming at the path planning and decision-making problem, multi-automated guided vehicles
(AGVs) have played an increasingly important role in the multi-stage industries, eg, textile …
(AGVs) have played an increasingly important role in the multi-stage industries, eg, textile …
Fault detection and diagnosis of cyber-physical system using the computer vision and image processing
Y He, B Nie, J Zhang, PM Kumar, BA Muthu - Wireless Personal …, 2022 - Springer
In the techno world, Corporate Business applies new technologies for manufacturing and
production with numerous cyber-physical system strategies. This makes the process depend …
production with numerous cyber-physical system strategies. This makes the process depend …
Machine learning applications in Cyber-Physical Production Systems: a survey
Z Zhang, C Liu, J Zhang, T Peng… - 2022 27th International …, 2022 - ieeexplore.ieee.org
Cyber-Physical Production Systems (CPPS) play a vital role in realizing the vision of Industry
4.0. In the last decade, various machine learning methods have been implemented in …
4.0. In the last decade, various machine learning methods have been implemented in …
Flow-shop predictive modeling for multi-automated guided vehicles scheduling in smart spinning cyber–physical production systems
Pointed at a problem that leads to the high complexity of the production management tasks
in the multi-stage spinning industry, mixed flow batch production is often the case in …
in the multi-stage spinning industry, mixed flow batch production is often the case in …
Real-Time Predictive Maintenance-Based Process Parameters: Towards an Industrial Sustainability Improvement
H Mahfoud, O Moutaoukil… - … on Advanced Intelligent …, 2023 - Springer
Real-time predictive maintenance is a pivotal driver for the evolution of smart factories,
deeply impacting the realm of sustainable industry practices. Its core function of continuous …
deeply impacting the realm of sustainable industry practices. Its core function of continuous …
Investigation of energy management and optimization using penalty based reinforcement learning algorithms for textile industry
R Menon - … international conference on innovative trends in …, 2020 - ieeexplore.ieee.org
Energy, today, has become one of the most important factors in almost every industry
domain. The energy reserves of a country largely influences its growth rate. Particularly in …
domain. The energy reserves of a country largely influences its growth rate. Particularly in …