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.