Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Design and development of an ontology based multi-agent virtual enterprise system /
Download
index.pdf
Date
2015
Author
Sadigh, Bahram Lotfi
Metadata
Show full item record
Item Usage Stats
205
views
204
downloads
Cite This
Major developments in computers and information technologies, enable industrial and mechanical engineers to establish new net based, virtual collaboration platforms for enterprises. Benefiting from virtual enterprise platform enterprises will be able to combine their resources and capabilities on project based collaborations meanwhile protect their independent mainstream policies and secure their secret information. This concept is called virtual enterprise(VE). Virtual Enterprise (VE) is a collaboration model between multiple business partners in a value chain. The VE model is particularly feasible and appropriate for Small and Medium Enterprises (SME) and industry parks containing multiple SMEs that have different vertical competencies. One of the main targets of this research is to create an Ontology based Multi Agent Virtual Enterprise (OMAVE) System to prepare an appropriate platform for collaboration between technology start-ups in techno-parks and SMEs in Organized Industrial Zones in order to produce high value added high-tech products. OMAVE aims to help SMEs to shift from classic trend of manufacturing part pieces towards high-tech, innovative and research based products. In this way and to reach this goal a new semantic data infrastructure to enhance Re-Configurability and Flexibility of virtual enterprise systems has been developed. In order to support flexibility in Virtual Enterprise business processes and enhance its integration to enterprises' available manufacturing systems (e.g. MRP) an ontology based domain model of VE system has been established. OWL DL semantic data structure of VE by defining concepts, axioms, rules and functions in VE system has been developed. TDB data store to keep VE data and information in form of triples developed. SPARQL semantic RDF query language is used to handle and manipulate data on developed system data store. This architecture supports structure flexibility for developed VE infrastructure and improve reusability of data and knowledge in VE life cycle. To establish a multi agent based partner selection platform different agent types have been developed. These agents collaborate and compete with each other to select the most appropriate partner for the forthcoming VE project consortium. The agent based auctioning platform is coupled with a Fuzzy-AHP-TOPSIS multi criteria decision making algorithm to evaluate incoming bids from agents and rank proposals in each iteration. It is also important to notice that here, agents interaction's semantic is provided by an agent ontology. This agent ontology provides concepts, properties and all message formats for agents to settle a common language in interactions between agents. Implementing concurrent engineering, collaborative design and Product Life Cycle Management (PLM) concepts by integrating Dassault systems web based CATIA/ENOVIA V6 design and PLM tools to OMAVE system. To test and verify these achievements a case study to produce a test product by using developed OMAVE tools is established. This test product manufactured by contributions of SMEs from OSTIM organized Industrial Zone Aviation and Defense Cluster.
Subject Keywords
Business enterprises.
,
Multiagent systems.
,
Semantic Web.
,
Virtual reality in engineering.
,
Virtual reality in management.
URI
http://etd.lib.metu.edu.tr/upload/12618565/index.pdf
https://hdl.handle.net/11511/24485
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
Development of partner selection algorithms in forming virtual enterprise consortiums
Nikghadam, Shahrzad; Akkök, Metin; Ünver, Hakkı Özgür; Department of Mechanical Engineering (2015)
Recent developments in information technologies and internet based applications provide a reliable infrastructure for enterprises to communicate and corporate with each other. In order to take advantage of these facilities, individual companies may cooperate with each other within a consortium framework, to share their resources with the aim of responding to a customer demand. Virtual Enterprise is such a collaboration concept established on the basis of these features. Not surprisingly, success of VE as a ...
The Role of VR as a New Game Changer in Computational Design Education
Sorguç, Arzu; Özgenel, Çağlar Fırat; Katipoğlu, Mert Ozan; Rasulzade, Ramin (2017-09-22)
With the rapid advances in technology, virtual reality(VR) re-emerged as an affordable technology providing new potentials for virtual learning environments(VLE). Within the scope of this study, firstly a general perspective on potentials of VR to create an appropriate VLE is put forward regarding the potentials related with learning modalities. Then, VR as a VLE in architectural education is discussed and utilization of VR is revisited considering the fundamentals of education as how to enhance skills rega...
Evaluating the convergence of high-performance computing with big data, artificial intelligence and cloud computing technologies
Dildar Korkmaz, Yeşim; Eren, Pekin Erhan; Kayabay, Kerem; Department of Information Systems (2023-1-24)
The advancements in High-Performance Computing (HPC), Big Data, Artificial Intelligence (AI), and Cloud Computing technologies have led to a convergence of these fields, resulting in the emergence of significant improvements for a wide range of fields. Identifying the state of development of technology convergence and forecasting promising technology convergence is critical for both academia and industry. That's why technology assessment and forecasting for HPC-Big Data-AI-Cloud Computing convergence is nee...
New Construction Methods and Hybrid Tectonics: Robotics in Architecture
Bostancı Sabur, Hafize Büşra (null; 2017-05-08)
The development of computational design and manufacturing (CAD/CAM) tools and technologies in the 21st century have encouraged architects, engineers and all related stakeholders to integrate the new computational tools and high level automation technologies to solve the problems in design and construction. Today, cutting edge technologies and innovative materials enable architects to follow a new process -designing the design processto optimize the conventional way of "design and fabrication". Similarly com...
A Quality model for cloud-based enterprise information systems
Şener, Umut; Eren, Pekin Erhan; Department of Information Systems (2016)
Organizations have migrated from on-premise enterprise information systems to Cloud-based Enterprise Information Systems (Cloud-EIS) due to the benefits of cloud computing, such as flexibility, availability on demand, and interdependence in information technology infrastructure. Accordingly, enterprises perceive the significance of the quality of Cloud-EIS for improving their businesses, and they pay more attention to selecting the suitable Cloud-EIS. Having looked at the extensive literature, only a few re...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
B. L. Sadigh, “Design and development of an ontology based multi-agent virtual enterprise system /,” Ph.D. - Doctoral Program, Middle East Technical University, 2015.