IML

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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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.