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AI‐based R&D for frozen and thawed meat: Research progress and future prospects
J Qiao, M Zhang, D Wang… - … Reviews in Food …, 2024 - Wiley Online Library
Frozen and thawed meat plays an important role in stabilizing the meat supply chain and
extending the shelf life of meat. However, traditional methods of research and development …
extending the shelf life of meat. However, traditional methods of research and development …
Learning-based production, maintenance, and quality optimization in smart manufacturing systems: A literature review and trends
With the introduction of manufacturing paradigms, including Industry 4.0, production
research has shifted its focus to enabling intelligent manufacturing systems within industrial …
research has shifted its focus to enabling intelligent manufacturing systems within industrial …
Smart manufacturing as a strategic tool to mitigate sustainable manufacturing challenges: a case approach
Due to the manufacturing sector's severe negative impacts on sustainable development,
sustainable manufacturing is gaining more momentum than ever. Despite the advantages of …
sustainable manufacturing is gaining more momentum than ever. Despite the advantages of …
Artificial intelligence in lean manufacturing: digitalization with a human touch?
DJ Powell - International Journal of Lean Six Sigma, 2024 - emerald.com
Lean manufacturing has been the dominant approach to industrial improvement since the
1990s when the concept was popularized in The Machine that Changed the World (Womack …
1990s when the concept was popularized in The Machine that Changed the World (Womack …
Deep learning model for optimizing control and planning in stochastic manufacturing environments
Within the context of Industry 4.0, manufacturing plants implement smart technologies, which
adopt machine learning and deep learning, to identify manufacturing problems and provide …
adopt machine learning and deep learning, to identify manufacturing problems and provide …
Identification of challenges to Industry 5.0 adoption in Indian manufacturing firms: an emerging economy perspective
P Sahoo, PK Saraf, R Uchil - International Journal of Computer …, 2024 - Taylor & Francis
This study aims to identify a comprehensive list of challenges and empirically evaluate their
impact on Industry 5.0 adoption, particularly in develo** countries in Indian manufacturing …
impact on Industry 5.0 adoption, particularly in develo** countries in Indian manufacturing …
Reinforcement learning-based optimization for sustainable and lean production within the context of industry 4.0
The manufacturing industry often faces challenges related to customer satisfaction, system
degradation, product sustainability, inventory, and operation management. If not addressed …
degradation, product sustainability, inventory, and operation management. If not addressed …
Optimizing quality and cost in remanufacturing under uncertainty
F Stamer, J Sauer - Production Engineering, 2024 - Springer
In the context of growing sustainability demands, businesses are increasingly adapting their
production practices by integrating remanufacturing. However, companies often face …
production practices by integrating remanufacturing. However, companies often face …
30th international conference on flexible automation and intelligent manufacturing (FAIM2021) special issue: modern manufacturing systems management
● Woschank et al.(2024) investigate the effect of using real-time data in push and pull
production planning and control (PPC) strategies on logistics performance by increasing the …
production planning and control (PPC) strategies on logistics performance by increasing the …
A Systematic Review on Reinforcement Learning for Industrial Combinatorial Optimization Problems
This paper presents a systematic review on reinforcement learning approaches for
combinatorial optimization problems based on real-world industrial applications. While this …
combinatorial optimization problems based on real-world industrial applications. While this …