Akademik Veri Yönetim Sistemi
Tezin Türü: Yüksek Lisans
Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Mühendislik Fakültesi, Makina Mühendisliği Bölümü, Türkiye
Tezin Onay Tarihi: 2015
Öğrenci: SHAHRZAD NİKGHADAM
Danışman: METİN AKKÖK
Özet: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 cooperation platform is directly influenced by the performance of its partners. So selecting appropriate members is a crucial step in forming up VE. In this respect, a multi-step partner selection technique is proposed which evaluates and selects the VE partners based on customers’ attitude and their vague preferences. Each step is embedded in the model in order to respond to a certain requirement for an unbiased, dynamic and reliable partner selection. First two steps of the algorithm identify the qualified enterprises in terms of technical necessities and customer prerequisites. Then, inefficient candidates are recognized and eliminated from invitation list. Then, by receiving the bidding proposals the main decision making steps begin. These steps would be based on customer’s attitude and preferences. Customers are classified into three classes; passive, standard and assertive. And based on customer’s type appropriate decision making technique is adapted. Fuzzy logic, fuzzy-AHP TOPSIS and Goal programming based techniques are all incorporated in this step. Once the candidate enterprises are evaluated, winners of the upcoming consortium are announced to take role in the project. Implementing the proposed model to the case study of a partner selection problem in Ontology based Multi-Agent Virtual Enterprise (OMAVE) system and analyzing the results validates the reliability of the model. Finally some discussions have been made highlighting the conclusions and perspectives for future studies.