Ontology-Driven Information System for Supply Chain Management

Chandra, Charu; Tumanyan, Armen

doi:10.1007/978-0-387-37022-4_25

Cited by 5 publications

(2 citation statements)

References 21 publications

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“…A knowledge modelling (see Fig. 2) is created to develop bases of knowledge that assist SC partners to store and retrieve knowledge [60]. In addition, the information and knowledge acquired should be recorded automatically and electronically [61], in order to improve productivity and help knowledge acquisition and accumulation.…”

Section: Conceptual Frameworkmentioning

confidence: 99%

Automated Knowledge Acquisition Framework for Supply Chain Management based on Hybridization of Case based Reasoning and Intelligent Agent

Almuiet¹,

Al-Zawahra²

2019

ijacsa

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Throughout the past few years, there has been notable research effort directed towards developing automated knowledge acquisition (KA) in order to automate knowledge acquisition in Supply Chain Management (SCM) applications. Several methods utilized for the automation of supply chain management involved Intelligent Agent (IA) and Case-Based Reasoning (CBR). This paper used both approaches to bring about automated knowledge acquisition in order to assist decision-making in SCM applications. With the arrival of a new case, prior cases are retrieved from the database and the potential solutions are laid down. After the completion of acquisition, case and solution outcome are analyzed and evaluated according to function similarity. Finally, after evaluating the new case along with the problem details and the chosen solution, the case is retained in the database for issues that will arise in future applications.

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Section: Conceptual Frameworkmentioning

confidence: 99%

Automated Knowledge Acquisition Framework for Supply Chain Management based on Hybridization of Case based Reasoning and Intelligent Agent

Almuiet¹,

Al-Zawahra²

2019

ijacsa

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“…Chandra and Tumanyan (2004) demonstrated an ontology-driven knowledge design for a supply chain domain. In their research, ontological principles were utilised for capturing the knowledge about organisational and problem domains.…”

mentioning

confidence: 99%

The ontology of a supply chain model based on IDEF5 and Ontolingua

Tsou

2008

Production Planning & Control

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Supply chain management realises the concept of global logistic management, and the supply chain model is the building block for supply chain management. Ontology, which increases knowledge sharing and eases communication between every entity, is the foundation of knowledge management. This paper develops the ontology of a supply chain model that can be seen as fundamental research of knowledge management in a supply chain study. After reviewing related studies of ontology and supply chain model, the ontology of a supply chain model is developed by using the IDEF5 based ontology language and the Ontolingua editor. Two models based on IDEF5 and Ontolingua ontologies are compared to show that the two totally different styles do not affect its original nature.

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