LOGISTICS OPTIMIZATION USING ONTOLOGIES

Conference object English OPEN
Hendi , Hayder ; Ahmad , Adeel ; Bouneffa , Mourad ; Fonlupt , Cyril (2014)
  • Publisher: HAL CCSD
  • Subject: Classification of logistic problems | [ INFO.INFO-SE ] Computer Science [cs]/Software Engineering [cs.SE] | Logistics | Optimization methods | [ INFO.INFO-RO ] Computer Science [cs]/Operations Research [cs.RO] | Ontologies
    acm: InformationSystems_INFORMATIONSYSTEMSAPPLICATIONS | ComputerApplications_COMPUTERSINOTHERSYSTEMS

International audience; Logistics processes involve complex physical flows and integration of different elements. It is widely observed that the uncontrolled processes can decline the state of logistics. The optimization of logistic processes can support the desired growth and consistent continuity of logistics. In this paper, we present a software framework for logistic processes optimization. It primarily defines logistic ontologies and then optimize them. It intends to assist the design of a computational knowledge-base tool for better util-isation of the logistic resources. The defined ontologies share the knowledge domain of logistics and optimization. The knowledge-base incorporates the standard optimization techniques, along with the definition of ontologies to resolve logistic problems. It can help to better understand the inherent complexities of logistic problems.
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