An ontology-based multi-agent virtual enterprise system (OMAVE): part 1: domain model<bold>l</bold>ing and rule management

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Date

2017

Journal Title

Journal ISSN

Volume Title

Publisher

Taylor & Francis Ltd

Research Projects

Organizational Units

Organizational Unit
Manufacturing Engineering
(2003)
Opened in 2003 with the aim to graduate experts in the field of machine-production, our Department is among the firsts in our country to offer education in English. The Manufacturing Engineering program focuses on the manufacturing technologies that shape materials from raw materials to final products by means of analytical, experimental and numerical modeling methods. First Manufacturing Engineering Program to be engineered by Müdek, our department aims to graduate creative and innovative Manufacturing Engineers that are knowledgeable in the current technology, and are able to use production resources in an effective and sustainable way that never disregards environmental facts. As the first Department to implement the Cooperative Education Program at Atılım University in coordination with institutions from the industry, the Manufacturing Engineering offers a practice-oriented approach in education with its laboratory infrastructure and research opportunities. The curriculum at our department is supported by current engineering software, and catered to creating engineers equipped to meet the needs of the production industry.

Journal Issue

Abstract

New advancements in computers and information technologies have yielded novel ideas to create more effective virtual collaboration platforms for multiple enterprises. Virtual enterprise (VE) is a collaboration model between multiple independent business partners in a value chain and is particularly suited to small and medium-sized enterprises (SMEs). The most challenging problem in implementing VE systems is ineffcient and inFLexible data storage and management techniques for VE systems. In this research, an ontology-based multi-agent virtual enterprise (OMAVE) system is proposed to help SMEs shift from the classical trend of manufacturing part pieces to producing high-value-added, high-tech, innovative products. OMAVE targets improvement in the FLexibility of VE business processes in order to enhance integration with available enterprise resource planning (ERP) systems. The architecture of OMAVE supports the requisite FLexibility and enhances the reusability of the data and knowledge created in a VE system. In this article, a detailed description of system features along with the rule-based reasoning and decision support capabilities of OMAVE system are presented. To test and verify the functionality and operation of this system, a sample product was manufactured using OMAVE applications and tools with the contribution of three SMEs.

Description

Sadigh, Bahram Lotfi/0000-0002-3027-3734; Ozbayoglu, Ahmet/0000-0001-7998-5735; UNVER, HAKKI OZGUR/0000-0002-4632-3505; Dogdu, Erdogan/0000-0001-5987-0164

Keywords

virtual enterprise, domain ontology, multi-agent systems, OWL, semantic reasoning

Turkish CoHE Thesis Center URL

Citation

8

WoS Q

Q2

Scopus Q

Q1

Source

Volume

30

Issue

2-3

Start Page

320

End Page

343

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