Assisted discovery of optimal solution for logistics problems using ontology modeling - Archive ouverte HAL
Article Dans Une Revue International Journal of Logistics Systems and Management Année : 2023

Assisted discovery of optimal solution for logistics problems using ontology modeling

Résumé

The logistics processes conjointly execute various physical and logical tasks. The physical tasks may concern the elements such as goods to be transported, vehicles, and human resources. Whereas, the logical tasks are generally accomplished by software units that can be fully automatic or interactive such as optimisation methods or event management, etc. The logistics problems are often complex np-hard combinatorial optimisation problems. In this paper, we define the shared conceptual vocabulary concerning the logistics problems and inherent optimisation solutions. The result of the work is a knowledge base system, which is formalised and implemented as a set of ontologies. These have been used as key components of a tool that may assist the logistics expert to identify the related optimisation methods to solve the concerned problem and eventually list the available corresponding web-services implementing them.
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Dates et versions

hal-03159709 , version 1 (04-03-2021)

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Citer

Adeel Ahmad, Mourad Mohamed Bouneffa, Hayder I Hendi, Cyril Fonlupt. Assisted discovery of optimal solution for logistics problems using ontology modeling. International Journal of Logistics Systems and Management, 2023, 44 (1), pp.85-104. ⟨10.1504/IJLSM.2023.128559⟩. ⟨hal-03159709⟩
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