Assisted discovery of optimal solution for logistics problems using ontology modelling
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, the authors 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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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/17427967
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Supplemental Notes:
- Copyright © 2023 Inderscience Enterprises Ltd.
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Authors:
- Ahmad, Adeel
- Bouneffa, Mourad
- Hendi, Hayder I
- Fonlupt, Cyril
- Publication Date: 2023
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 85-104
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Serial:
- International Journal of Logistics Systems and Management
- Volume: 44
- Issue Number: 1
- Publisher: Inderscience Enterprises Limited
- ISSN: 1742-7967
- EISSN: 1742-7945
- Serial URL: http://www.inderscience.com/jhome.php?jcode=ijlsm
Subject/Index Terms
- TRT Terms: Conceptual models; Decision support systems; Knowledge; Logistics; Optimization
- Subject Areas: Administration and Management; Freight Transportation; Operations and Traffic Management; Planning and Forecasting;
Filing Info
- Accession Number: 01875489
- Record Type: Publication
- Files: TRIS
- Created Date: Mar 13 2023 10:23AM