Research on multi-factory combination optimization based on DOSTAR

Research on multi-factory combination optimization based on DOSTAR

With the development of industrial big data, it has become an important research direction to use combinatorial optimization to coordinate multi-objective problems in complex manufacturing scenarios with multiple factories. At present, most of the multi-objective problems are decomposed into single-...

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Bibliographic Details
Main Authors: Chen, S. (Author), Han, H. (Author), Wang, J. (Author), Yan, M. (Author), Yang, C. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2022
Subjects:
AHP
Big data
Combination optimization
Combinatorial optimization
Combined modeling
CPS
Data fusion
Data mining
Domain ontologies
Domain ontology
Industrial research
Knowledge discovery
Learning algorithms
Multiobjective optimization
Multi-objective problem
Multiple factories
Reinforcement learning
Reinforcement learnings
Six-tuple
Structural optimization
Supply chain management
Ternary data fusion
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