A matrix-based Bayesian approach for manufacturing resource allocation planning in supply chain management

摘要: Nowadays, the supply chain of manufacturing resources is typically a large complex network, whose management requires network-based resource allocation planning. This paper presents novel matrix-based Bayesian approach for recommending optimal plan that has largest probability as selection within context specified by user. A proposed representation provides modelling with good basis to understand problem complexity, support computer reasoning, facilitate re-allocation, and add quantitative information. The produces optimal, robust solving multi-criteria decision-making addresses not only ontology-based static capabilities, but also statistical nature chain, i.e. probabilities execution interaction execution. genetic a...