A Supply Chain Management Approach to Logistics Ontologies in Information Systems

The significant evolutions in the economic and business environment has undergone profound changes and see grow criticality control information for controlling the global supply chain. In this environment, more and more complex, especially because of globalization and the globalization of economies, contributing directly to increased trade and the expansion of the geographical area, the optimization of the cooperation within the global supply chain becomes more focused on optimizing physical movement of goods. Thus, the integration of transport in optimizing supply chains offers an opportunity to better management of flows, different decision-making levels. For recent decades, modeling agent database was used as an unconventional tool to perform this task. However, the establishment of a formal ontology as a shared model, to ensure interoperability and reusability of the models with which developers can standardize their models become increasingly necessary. We present in this paper an initiative to develop an ontology that formalizes the domain knowledge of the multimodal transport of goods.

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Section: B Literature Reviewmentioning

confidence: 99%

Ontological model for knowledge capitalization in multimodal transport domain

Benaissa

Charfeddine

Bendriss

et al. 2014

2014 International Conference on Advanced Logistics and Transport (ICALT)

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“…Other approaches present possible solutions for describing services and for using of suitable optimisation algorithms concerned with the adaptability towards changing context conditions within maritime transport networks [3] [11] [18]. Unified semantic representations of logistic services and informations in the logistics domain using sophisticated ontologies are recent research contributions, for example of Hoxha et al or Leukel and Kirn [9] [12]. The efforts of Hoxha et al, developed in the ongoing project InterLogGrid 3 aim to be a foundation for repositories of service descriptions and automatic service discovery and composition.…”

Section: Related Workmentioning

confidence: 99%

Semantics-based, strategic planning and composition of intermodal freight transport services in sea port hinterlands

Ruth

Flach

Weitzel

2011

Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies

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The modular logistic transport of goods on streets, railroads, inland water and sea is a complex and versatile process. It requires exact knowledge of geographic information, available logistical service providers and communication channels. This application paper describes IMOTRIS, an automated Intermodal Transport Routing Information System which is developed as a state-aided collaborative project that benefits from practical experience by contributions from different ports and transport service providers. We present a novel approach which combines service-oriented multi-modal route planning with semantic web technologies for the selection and ranking of transport and turnover services to create suitable and optimized complex logistic service chains. We utilize committed semantic descriptions of logistic services and their relationships with regard to the application context

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“…Thus, they use a situation model based on semantic to specify a situation of product and determine events caused by this situation. [12]Contribute in the advancement of logistic ontologies by referring to supply chain management and reusing the existing body of knowledge contained in the SCOR (Supply Chain Operation Reference) model. As the SCOR model does not aim at covering interorganizational logistics to the full extend, this ontologies lack some characteristic concepts of this domain.…”

Section: Logistic Ontologymentioning

confidence: 99%

IoT Middleware Architecture based on Ontologies to Model Logistic Process

Allouch

Amechnoue

Achatbi

2017

TMLAI

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In recent years, the Internet of Things (IoT) become a promising topic of technical social and economic significance, especially with the high number of developed sensors and technologies. Logistic applications are a perfect domain of IoT as it adds new functionalities in identification, traceability, storage and real time tracking of good in the supply chain. Handling the huge quantities of heterogeneous IoT components and logistic items is an important challenge. We present in this paper a new Internet of Things middleware architecture for logistic transport applications. This architecture focuses mainly on a semantic model that uses ontologies for sensor data representation by describing the main entities involved in the logistic scenario.

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A Supply Chain Management Approach to Logistics Ontologies in Information Systems

Cited by 21 publications

References 7 publications

Ontological model for knowledge capitalization in multimodal transport domain

Ontological model for knowledge capitalization in multimodal transport domain

Semantics-based, strategic planning and composition of intermodal freight transport services in sea port hinterlands

IoT Middleware Architecture based on Ontologies to Model Logistic Process

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