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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Intelligent Media Lab
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 Research Objectives -
Design new hybridization techniques for personalization algorithms and adapt them to interactive television and mobile communications applications. -
Examine new forms of communication and collaboration through emerging digital channels (IPTV, Social-TV, etc.) -
Design consumer services enhanced with intelligent features in support of consumer's daily living (personalized EPG's, networked home applications). -
Investigate internal and external forces that affect consumer's decision-making process and develop user models that incorporate and operationalize human factors. -
Examine the role of recommendation techniques in promotional activities in RFID enabled environments. -
Study and design new interaction paradigms for cross-media applications with respect to individual media usage requirements. Scientific Coordinator Associate Researchers Researchers
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