knowledge representation in Industry 4.0 scheduling problems.
Daniel Alejandro RossitFernando TohméPublished in: Int. J. Comput. Integr. Manuf. (2022)
Keyphrases
- scheduling problem
- knowledge representation
- flowshop
- single machine
- processing times
- expert systems
- case study
- natural language
- automated reasoning
- knowledge based systems
- job shop
- knowledge structures
- natural language processing
- knowledge base
- job shop scheduling problem
- logic programming
- machine learning
- artificial intelligence
- knowledge acquisition
- semantic web
- precedence constraints
- knowledge engineering
- formal representation
- probabilistic reasoning
- sequencing problems
- setup times
- natural language understanding
- job shop scheduling
- tabu search
- representing knowledge
- world wide
- earliness tardiness
- legal knowledge
- list scheduling
- greedy heuristics
- neural network
- market share
- parallel machines
- first order logic
- description logics
- objective function
- genetic algorithm
- data mining