Working Paper Series

Stability in a Specialized Supply Chain Setting

Issue No. 61 (April - May 2010) 

 

The stable Supply Chain Network (SCN) configuration, introduced by Ostrovsky [11], is defined on a finite set of agents A that can be divided into k finite disjoint sets, A1 being the set of suppliers, Ak the set of final consumers, and Ai, i={2,3,…,k-1}, the sets of intermediary agents, and asks for a chain stable allocation of the agents. In our current work we present a specialized version of Ostrovsky’s generic framework, and prove that, under this setting, any k-sided SCN can be decomposed to k-1 united SM sub-markets. Moreover, we implement T-algorithm, presented in [11], as a generalization of the Gale-Shapley algorithm [7], and show how an intermediary-optimal solution can be derived, while we prove that the lattice formed by the set of solutions is distributive.

 

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Message - Introduction

ELTRUN Director: Professor Georgios I. Doukidis

ELTRUN is the E-Business Center of the Athens University of Economics and Business. ELTRUN currently consists of more than 20 researchers, including 4 members of the academic staff of Athens University of Economics and Business, while there is close cooperation with academic staff of other Institutions. Through the years, ELTRUN has successfully managed to produce state-of-the-art research and to complete more than 40 international research projects some of them funded by the Information Society and Technologies Program of the European Commission. In these international research projects, ELTRUN has collaborated closely with over 50 international companies such as: Microsoft, Nokia, Unisys, Sema, Sonera, Manesman, Procter & Gamble, Oracle, Ericsson etc. and world-class Institutions such as LSE, INSEAD, St. Gallen, MIT, Cologne, Esade, Erasmus, Cambridge etc. The center is also actively involved in national research programs, in various activities that are intended to increase awareness in the fields of E-Business.


ELTRUN is currently organized in the following research groups:

SCORE: Supply Chain and Demand Management, Collaboration and Electronic Services

Scientific Director: Dr. Katerina Pramatari, This e-mail address is being protected from spambots. You need JavaScript enabled to view it

Research streams:

  • Electronic services and e-business, focusing on business-to-business (B2B) commerce and electronic procurement

  • Interorganizational information systems and applications, including interoperability issues and new information infrastructures utilizing the web-services technology

  • Collaborative practices in supply chain and demand management, placing special emphasis on the retailing sector

  • The application of RFID technology in the supply chain, especially for supporting inventory management, traceability and innovative consumer services


IMES: Interactive Marketing & Electronic Services

Scientific Director: Dr. Adam Vrechopoulos, This e-mail address is being protected from spambots. You need JavaScript enabled to view it

Research streams:

  • Electronic Retailing (e-Tailing) & Digital Marketing
  • Electronic Customer Relationship Management (e-CRM)
  • Human Computer Interaction & User/Consumer Behaviour
  • Personalization Methods and Techniques
  • Online Marketing Research
  • Marketing in Interactive Media (TV, Mobile Telephony)
  • Efficient Consumer Response and Demand Management Technologies and Practices

CUBE: Center of Studies on Business Intelligence and Database

Scientific Director: Dr. Damianos Chatziantoniou, This e-mail address is being protected from spambots. You need JavaScript enabled to view it

Research streams:

  • Data Warehousing
  • Multi-Dimensional Analysis, Decision Support and OLAP
  • Data Mining and Knowledge Discovery in Databases
  • Data Stream Management Systems
  • Management of RFID Data Sets
  • Data Models, Query Languages and Optimization

IML: Intelligent Media Lab

Scientific Director: Dr. George Lekakos, This e-mail address is being protected from spambots. You need JavaScript enabled to view it

Research streams:

  • Digital Interactive Television Technologies and Applications
  • Machine learning algorithms for personalization
  • Adaptive and Adaptable hypermedia Systems
  • Recommender systems and applications in marketing communication
  • User-centric Interaction and Interface design
  • Human factors in user modelling
  • Emerging interactive media and cross-media applications
 
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