An approach-based machine learning and automated thermal images to predict the dark-cutting incidence in cattle management of healthcare supply chain.
Mohammed Ahmed JaddoaAws Alaa ZaidanLuciano A. GonzálezMuhammet DeveciHolly CuthbertsonAdel Al-JumailySeifedine Nimer KadryPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- supply chain
- machine learning
- thermal images
- rfid technology
- supply chain management
- decision making
- information systems
- radio frequency identification rfid
- product life cycle
- bullwhip effect
- operating costs
- inventory management
- infrared
- lead time
- quantity discount
- inventory control
- learning algorithm
- cost savings
- pattern recognition
- supplier selection
- data mining
- service level
- multistage
- reinforcement learning
- inventory policy
- feature selection
- knowledge management
- stackelberg game
- decision makers
- revenue sharing
- facial expressions
- supervised learning
- computer vision