Ontologies for Supply Chain Simulation Modeling

Fayez,; Rabelo,; Mollaghasemi,

doi:10.1109/wsc.2005.1574527

Cited by 45 publications

(27 citation statements)

References 6 publications

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“…In the ontologies studied, Ureten and Ilter (2006) and Fayez et al (2005) were based on the SCOR model; others such as Maier et al (2003) focused on inside organisations but not among them and 'The United Nations Standard Products and Services Code' which provides an open, global multi-sector standard for the efficient and accurate classification of products and services. These ontologies cover very specific subdomains, making them difficult to reuse.…”

Section: Situation Analysis and Experiments Designmentioning

confidence: 99%

Supporting conceptualisation processes in collaborative networks: a case study on an R&D project

Pereira

Sousa

Soares

2013

International Journal of Computer Integrated Manufacturing

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The development of new products or processes involves the creation, re-creation and integration of conceptual models from the related scientific and technical domains. Particularly, in the context of collaborative networks of organisations (CNO) (e.g. a multi-partner, international project) such developments can be seriously hindered by conceptual misunderstandings and misalignments, resulting from participants with different backgrounds or organisational cultures, for example. The research described in this article addresses this problem by proposing a method and the tools to support the collaborative development of shared conceptualisations in the context of a collaborative network of organisations. The theoretical model is based on a socio-semantic perspective, while the method is inspired by the conceptual integration theory from the cognitive semantics field. The modelling environment is built upon a semantic wiki platform. The majority of the article is devoted to developing an informal ontology in the context of a European R&D project, studied using action research. The case study results validated the logical structure of the method and showed the utility of the method.

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Section: Situation Analysis and Experiments Designmentioning

confidence: 99%

Supporting conceptualisation processes in collaborative networks: a case study on an R&D project

Pereira

Sousa

Soares

2013

International Journal of Computer Integrated Manufacturing

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“…"The supply chain environment is dynamic, information intensive, geographically dispersed, and heterogeneous." [26] The dynamism of the supply chain environment is inextricably bound with the unstable requirements and constraints in the simulation model articulation process.…”

Section: Methodsmentioning

confidence: 99%

“…Fayez et al [26] develop a supply chain ontology for simulation model annotation that is based on the supply chain operations reference model (SCOR) [14]. Dong et al [12] then develop a SCOR-based simulation tool that supports the integration of supply chain and business process models for operational simulation models, which abstract from financial parameters.…”

Section: Related Workmentioning

confidence: 99%

Invariant conditions in value system simulation models

Laurier

Poels

2013

Decision Support Systems

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This paper presents a framework for the integration of supply chain (or logistics/distribution), value chain (or financial), and business process (or operational/manufacturing) simulation models, which should facilitate assessing the impact of supply chain and operational changes on an enterprise's financial performance. A Design Science approach is taken to demonstrate that the REA ontology, which provides a shared conceptual ground for these three model types, and its axioms, which describe invariant conditions for value systems, can help to build conceptually sound simulation models and identify the integration points between these models. It is further shown how these three types of simulation models can be integrated into one value system model for discrete event simulation, making use of the ExSpecT simulation tool. With this ontology-based framework, simulation model builders should be able to scope their models better and define integration points with other models, which is expected to promote the (re)use of simulation models for different purposes (e.g., simulating logistical, operational and financial performance).

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“…Fayez et al proposed a representation of the SCOR model for supply chain simulation developed in the OWL language [10]. The ontology captures the distributed knowledge being required to integrate several supply chain views in order to support the construction of simulation models.…”

Section: Literature Insights On Ontology-aided Supply Chain Managementmentioning

confidence: 99%

Towards Ontology-Aided Manufacturing and Supply Chain Management – A Literature Review

Strzelczak

2015

Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth

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Ontologies for Supply Chain Simulation Modeling

Cited by 45 publications

References 6 publications

Supporting conceptualisation processes in collaborative networks: a case study on an R&D project

Supporting conceptualisation processes in collaborative networks: a case study on an R&D project

Invariant conditions in value system simulation models

Towards Ontology-Aided Manufacturing and Supply Chain Management – A Literature Review

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