Supply chain management ontology from an ontology engineering perspective

Scheuermann, Andreas; Leukel, Joerg

doi:10.1016/j.compind.2014.02.009

Cited by 33 publications

(15 citation statements)

References 45 publications

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“…These terms are: "supply network," "supply chain management," "knowledge model," "semantic model," and "ontology model." They are based on the parameters proposed by Scheuermann and Leukel (2014) in their literature review. The literature provides and discusses various SCM ontologies suitable for a range of industries and tasks.…”

Section: Hierarchical Business Domain: Knowledge Acquisition By Usingmentioning

confidence: 99%

Supply chain knowledge management supported by a simple knowledge organization system

Rodríguez-Enríquez

Alor-Hernández

Mejia-Miranda

et al. 2016

Electronic Commerce Research and Applications

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Section: Hierarchical Business Domain: Knowledge Acquisition By Usingmentioning

confidence: 99%

Supply chain knowledge management supported by a simple knowledge organization system

Rodríguez-Enríquez

Alor-Hernández

Mejia-Miranda

et al. 2016

Electronic Commerce Research and Applications

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“…Such methods as TOVE, METHONTOLOGY, Skeleton Method, KACTUS, SENSUS, IDEF5, and Seven-Step Method can be applied for domain ontology building. And the Seven-Step Method, developed by the Medical Information Center of Stanford University [11,12], is among top choices to build domain ontology. Besides, as it enjoys detailed technical support and advantages in model creation, the Seven-Step Method is adopted in this research.…”

Section: Establishment Of Ontology-based Cold Chain Quality Informatimentioning

confidence: 99%

Developing an Ontology-Based Cold Chain Logistics Monitoring and Decision System

Wang

Zhu

et al. 2015

Journal of Sensors

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Nowadays the cold chain logistics for perishable goods is increasingly complex, while most of the research works are focusing on the monitoring of temperature and humidity but seldom on the assessment and decision support for the monitored cold chain quality. In this context, a monitoring and decision system based on wireless sensor networks (WSN) and ontology is proposed in this paper which consists of sensing layer, network layer, and application layer. Ontology, as a shared concept model, can describe the objective world better with its own syntax and provides the general understanding of the specialized knowledge in a domain. Therefore, cold chain quality assessment software based on ontology has been developed; consequently, assessment and diagnosis for cold chain quality can be achieved, which can provide constructive advice and suggestions for its treatment. A demonstration of the system along a rabies vaccine logistics chain is validated in this paper. These results proved that this system presents important advantages such as effective regulation, low power consumption, and accurate ontology-based analysis.

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“…Against point (iii) it is clear that while useful progress is being made in the definition of formal ontologies using OWL that solutions based on this are limited to the expressiveness of Description Logic (Scheuermann and Leukel 2014). We take the view, given the complexity of the manufacturing area, that modelling methods that support higher levels of expressiveness should be consideration.…”

Section: Overview Of the Literature Reviewmentioning

confidence: 99%

An ontology supported risk assessment approach for the intelligent configuration of supply networks

et al. 2016

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As progress towards globalisation continues, organisations seek ever better ways with which to configure and reconfigure their global production networks so as to better understand and be able to deal with risk. Such networks are complex arrangements of different organisations from potentially diverse and divergent domains and geographical locations. Moreover, greater focus is being put upon global production network systems and how these can be better coordinated, controlled and assessed for risk, so that they are flexible and competitive advantage can be gained from them within the market place. This paper puts forward a reference ontology to support risk assessment for product-service systems applied to the domain of global production networks. The aim behind this is to help accelerate the development of information systems by way of developing a common foundation to improve interoperability and the seamless exchange of information between systems and organisations. A formal common logic based approach has been used to develop the reference ontology, utilising end user information and knowledge from three separate industrial domains. Results are presented which illustrate the ability of the approach, together with areas for further work.

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Supply chain management ontology from an ontology engineering perspective

Cited by 33 publications

References 45 publications

Supply chain knowledge management supported by a simple knowledge organization system

Supply chain knowledge management supported by a simple knowledge organization system

Developing an Ontology-Based Cold Chain Logistics Monitoring and Decision System

An ontology supported risk assessment approach for the intelligent configuration of supply networks

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