FRIDA: FRI-Based DOA Estimation for Arbitrary Array Layouts

In this paper we present FRIDA---an algorithm for estimating directions of arrival of multiple wideband sound sources. FRIDA combines multi-band information coherently and achieves state-of-the-art resolution at extremely low signal-to-noise ratios. It works for arbitrary array layouts, but unlike the various steered response power and subspace methods, it does not require a grid search. FRIDA leverages recent advances in sampling signals with a finite rate of innovation. It is based on the insight that for any array layout, the entries of the spatial covariance matrix can be linearly transformed into a uniformly sampled sum of sinusoids.Comment: Submitted to ICASSP201

Four Challenges to Financial Regulatory Reform

The article discusses the challenges that should be addressed in a successful financial regulatory reform. These challenges include the structuring of regulatory systems, separation of prudential supervision and consumer protection regulation, the entity responsible for monitoring and managing systemic risk, and the supervision of cross-border financial services and transactions. The reform proposals considered by Great Britain, the U.S., and European Union are analyzed

Four Challenges to Financial Regulatory Reform

The article discusses the challenges that should be addressed in a successful financial regulatory reform. These challenges include the structuring of regulatory systems, separation of prudential supervision and consumer protection regulation, the entity responsible for monitoring and managing systemic risk, and the supervision of cross-border financial services and transactions. The reform proposals considered by Great Britain, the U.S., and European Union are analyzed

A sharing mechanism for superadditive and non-superadditive logistics cooperation

International audienceThe lack of a stable, fair and generally applicable sharing mechanism is one of the most noticeable impediments to the implementation of logistics cooperation. Most of the current literature on the sharing mechanism in logistics cooperation focuses on superadditive logistics cooperation games, neglecting the probable occurrence of other types of games resulting from coordination cost and unequal partners. In this work, we propose a sharing model based on game theoretic solutions, taking account of the bargaining power of players to identify a fair in-Core allocation. Under full cooperation assumption, we generalize this model for non-superadditive logistics cooperation games with coordination costs at different levels. The games with empty Core are also studied within the model

Allocation of Transportation Cost & CO2 Emission in Pooled Supply Chains Using Cooperative Game Theory

International audienceThe sustainability of supply chain,both economical and ecological, has attracted intensive attentions of academic and industry. It is proven in former works that supply chain pooling given by horizontal cooperation among several independent supply chains create a new common supply chain network that could reduce the costs and the transport CO2 emissions. In this regard, this paper introduces a scheme to share in a fairly manner the savings. After a summary of the concept of pooled-supply-networks optimization and CO2 emission model, we use cooperative game theory as the cooperative mechanism for the implementation of the horizontal pooling. Since we proved the related pooling game to be super-additive, a fair and stable allocation of common gain in transportation cost and CO2 emission is calculated by Shapley Value concept. Through a case study, the results show that supply chains pooling can result in reductions of both transportation cost and carbon emissions, and that the increase of carbon-tax rate gives enterprises more incentives for the implementation of such pooling scheme

Game theoretic contribution to horizontal cooperation in logistics

International audienceHorizontal cooperation in logistics was proved globally advantageous, but we see only few realizations until now. The main obstacle to the successful implementation of horizontal cooperation is the absence of appropriate cooperation decision making model, consisting of the detailed cooperation process, the optimization model, and the stable-and-fair gain sharing mechanism. In this paper, we propose a practical cooperation decision making model for the realization of horizontal logistics cooperation scheme. This model is a decision process integrating an optimization tool and a game-theoretic approach to find a feasible allocation rule, and stable coalitions related to coalition structures issue. We propose a weighted allocation rule that takes bargaining power, contribution and core stability into account, and generalize it in games with coalition structure. Then we investigate related stability issue under two different cooperation patterns. At the end, we present a case study of France retail supply network, which verifies the cooperation model we proposed

An inventory control model with interconnected logistic services for vendor inventory management

International audienceThis paper proposes an inventory control model taking advantage of interconnected logistic services in the Physical Internet for fast-moving consumer goods (FMCG) sector. Unlike current hierarchical inventory model where the source of each is pre-assigned, the goods are stored and distributed in an interconnected and open network of PI-hubs which enables storage capacity and transportation sharing among different companies around the network. As a result, theoretically, the suppliers can push their goods all around the network and the retailers can be served by any hub in the network. A non-linear global optimization inventory model to minimize the total logistic costs is proposed and a heuristic using simulated annealing is applied to solve the problem. Numerical experiments are taken to compare the performance of the proposed PI inventory model and classic inventory control model for different settings of a typical supply network. Results suggest that the PI inventory control model can always reduce the total logistic cost while reaching a comparable or improved end customer service level

Less-than-truckload Dynamic Pricing Model in Physical Internet

International audienceThis paper investigates a decision-making problem consisting of less-than-truckload dynamic pricing (LTLDP) under Physical Internet (PI). PI can be seen as the interconnection of logistics networks via open PI-hubs, which can be considered as spot freight markets where LTL requests of different volume/destination continuously arrive over time for a short-stay. Carriers can bid for the requests by using short-term contract. This paper proposes a dynamic pricing model to optimise carrier’s bid price to maximise his expected profits. Three influencing factors are investigated: requests quantity, carrier’s capacity and cost. The results provide useful guidelines to carriers on pricing decisions in PI-hub