Developing a Basic Formal Supply Chain Ontology to Improve Communication and Interoperability

Abstract

Information is crucial to supply chain performance because it is used to make decisions and trigger actions. Organizations across world-class supply chains increasingly use information technology to analyze and process supply chain data. However, supply chain management lacks a common language, making information exchange difficult. An ontology can provide a standardized framework that organizes a given knowledge domain. This research proposes a common language for developing a supply chain ontology that can be built into a basic formal ontology understood by both humans and computers. According to current research, an established and widely used supply chain framework is a good starting point for developing a supply chain ontology. Many researchers recommend using the Supply Chain Operations Reference (SCOR) Model. This framework is translated into a software package that generates a Web Ontology Language (OWL), which can be used by information technology. This research analyzes the need for a standard supply chain language and identifies a framework to use as a starting point for developing an ontology. Using SCOR 12.0 as the framework, an XML/OWL based model is developed, which can be used by information technology to improve information exchanges between supply chain partners. Supply chain practioners will benefit from an ontology built on the SCOR 12.0 framework that has been digitalized to support information technology professionals and enable supply digital supply chains.

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Document Details

Document Type
Technical Report
Publication Date
Jun 17, 2021
Accession Number
AD1144163

Entities

People

  • David Morrow

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Advanced Electronics
  • Biomedical
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Application Software
  • Blockchain
  • Business Administration
  • Commerce
  • Computers
  • Electronic Commerce
  • Engineering
  • Information Exchange
  • Information Systems
  • Internet Of Things
  • Language
  • Operations Management
  • Organizational Structure
  • Procurement
  • Standards
  • Supply Chain
  • Supply Chain Management

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Logistics and Supply Chain Management.