Working Paper Series
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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. Download  List of working papers |
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Supply Chain and Demand Management, Collaboration and Electronic Services Scientific Coordinator: Dr. Katerina Pramatari,
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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
Research Objectives The group aims at carrying-out high quality research in the areas above, co-operating with top international research institutes as well as the business community. Specific objectives of the SCORE group include but are not limited to the following: -
Study and evaluate the impact of emerging technologies and new services utilizing quantitative, qualitative and simulation techniques. -
Design and implement innovative information systems and decision support tools. -
Evaluate alternative architectures, systems and services to address specific user and business needs. -
Study the adoption and market acceptance of new e-business technologies, collaborative practices and business models.
Researchers
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