An ontology-based multi-agent virtual enterprise system (OMAVE): part 2: partner selection
| Autor: | S. Engin Kilic, Erdogan Dogdu, Hakki Ozgur Unver, Bahram Lotfi Sadigh, A. Murat Ozbayoglu, Shahrzad Nikghadam |
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| Přispěvatelé: | TOBB ETU, Faculty of Engineering, Department of Computer Engineering, TOBB ETU, Faculty of Engineering, Department of Mechanical Engineering, TOBB ETÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, TOBB ETÜ, Mühendislik Fakültesi, Makine Mühendisliği Bölümü, Özbayoğlu, Ahmet Murat, Ünver, Hakkı Özgür, H-2328-2011, Ünver, Hakkı Özgür/6603873269 |
| Předmět: |
0209 industrial biotechnology
Knowledge management Computer science media_common.quotation_subject Aerospace Engineering 02 engineering and technology Ontology (information science) Multi-Agent Systems 020901 industrial engineering & automation Enterprise system Virtual Enterprise Enterprise life cycle 0202 electrical engineering electronic engineering information engineering Selection (linguistics) Partner Selection Electrical and Electronic Engineering Selection algorithm media_common business.industry Mechanical Engineering Multi-agent system Bidding Computer Science Applications Negotiation 020201 artificial intelligence & image processing business |
| DOI: | 10.1080/0951192X.2017.1285424 |
| Popis: | A 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-sized enterprises (SMEs) and industrial parks containing multiple SMEs that have different vertical competencies. The VE consortium's success highly depends on its members. Therefore, it is crucial to select the most appropriate enterprises when forming a VE consortium. In this study, a new multi-agent hybrid partner selection algorithm is developed for application in the development of an ontology-based multi-agent virtual enterprise (OMAVE) system. In this platform, the agent's interactions are supported by agent ontology, which provides concepts, properties and all message formats for the agents. Different types of agents collaborate and compete with each other so that unqualified or inefficient enterprises are eliminated from the enterprise pool. Only the remaining enterprises would be allowed to enter the negotiation process and propose in the bidding. The agent-based auctioning platform is coupled with a fuzzy-AHP-TOPSIS algorithm to evaluate partners based on their proposals and background. Accordingly, the winning enterprise for each task is identified and the whole project can be accomplished by assigning tasks to the responsible partners. To test and verify the functionality of the developed OMAVE system, a sample module using OMAVE applications and tools was manufactured. The last section of this paper presents the results of this case study, which validate the applicability of the proposed technique. |
| Databáze: | OpenAIRE |
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