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PEOPLE@HES-SO – Annuaire et Répertoire des compétences
PEOPLE@HES-SO – Annuaire et Répertoire des compétences

PEOPLE@HES-SO
Annuaire et Répertoire des compétences

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Moresino Francesco

Moresino Francesco

Professeur HES associé

Compétences principales

Sciences décisionnelles

Optimisation stochastique

Science des services

Risk management

Acceptance sociale

Recherche opérationnelle

  • Contact

  • Enseignement

  • Recherche

  • Publications

  • Conférences

Contrat principal

Professeur HES associé

Bureau: B 5.03

Haute école de gestion de Genève
Campus Battelle, Rue de la Tambourine 17, 1227 Carouge, CH
HEG-GE
Domaine
Economie et services
Filière principale
Economie d'entreprise
BSc HES-SO en Economie d'entreprise - Haute école de gestion de Genève
  • Mathématiques

Terminés

Developing tools for designing and pricing services

Rôle: Requérant(e) principal(e)

Financement: FNS

Description du projet :

The knowledge and service economy produces intangible goods. Unfortunately, unlike physical goods, the pricing of intangible goods is not obvious and presents a real challenge. While there are a plethora of approaches for physical goods, little work has been devoted to intangible goods. Ideally, the pricing of services should be based on the three following components: the cost structure, the competition and the perceived value by the users. This is the famous tripod proposed by Lovelock. Only few time ago, only one method respected these requirements. This method, called yield management comes from the theories developed in the field of production management. This method models the production of the service as well as the customer perception. It is used very effectively in hotels or in the aviation sector. Unfortunately, it is only applicable to economic sectors that have reached a certain degree of standardization. Indeed, for economic sectors that have not reached a certain maturity, the heterogeneous nature of the good prohibits the use of this method. Recently, Fragnière and myself proposed a new method combining techniques from operations research with techniques from marketing science that allows to price intangible goods even when it has a strong heterogeneity level. Schematically, this method couples a share of choice model with a production management model. The meta-model so obtained is a mixed integer program and can be solved with standard techniques. The utility functions of the share of choice are estimated thanks to a survey, applying standards techniques of conjoint analysis. It is important to note that this method, unlike the majority of other pricing methods, provide us also with the best service design. Unfortunately, like other methods, this new method can be hard to implement when the service's salient attributes are too numerous. In such case, during the survey, the respondents can be over own by information and their answer could be not accurate. Another weakness of this new method come from the fact that the number of binary variables in the meta-model is proportional to the number of respondents. Indeed, the number of binary variable increases drastically the computational complexity. Therefore this method can be computationally not tractable for huge sample sizes.
In this project we propose to improve this new method in order to be able to handle bigger sample sizes and services with a large number of salient attributes. The improvement rely on the fact that in the share of choice model only the market share is important. The utility function of each respondents can be replaced with a consolidated demand function. Doing so, many binary variables can be removed from the meta-model and its computational complexity will not depend on the sample size. Another benefit from this consolidation comes from the fact that we can elaborate new methods for the experimental design.
To sum up this project proposes to develop a method for designing and pricing services that is also operational when the service is not homogeneous, when the sample size is big and when the service salient attributes are numerous. Another important contribution will be the creation of software tools that will be easily used by practitioners and offered to the community in open access.  

Equipe de recherche au sein de la HES-SO: Moresino Francesco

Durée du projet: 01.09.2016 - 31.03.2017

Montant global du projet: 154'836 CHF

Statut: Terminé

Design of a sustainable energy model by inclusion of behavioural and social parameters

Rôle: Requérant(e) principal(e)

Financement: FNS

Description du projet :

Among the big challenges that new EU members have to face, cleaning the burden of environmental charges goes together with the organisation of the energy and production system in order to prevent new disasters, as well as creating a decision framework compatible with OCDE countries that will allow the local decision makers to create coherent and sustainable policies in order to achieve environmentally sound, yet economically viable development.
There are many environmental models and decision support systems available. However in a situation when many options and directions are possible, to compare these choices, perhaps the best type of tools can be a long-term optimisation model. One such model, MARKAL, is available to scientists and decision makers since seventies and has evolved into an integrated tool that allows the analyst to prepare and document various determinist or stochastic scenarios of investment paths in the energy sector, avoiding costly mistakes and lock-in effects for decades to come.
In this research proposal, we bring a project to create a MARKAL/TIMES-Romania country model with all standard features, plus a recent add-on in form of Social MARKAL extensions to assess behavioural parameters of the energy consumption, that allows the decision makers to design sustainable policies thanks to a system of taxes and subsidies, compute the exact amount of these financial instruments, but also to design sustainable information campaigns in favour of technologies to trigger desired changes in consumer's behaviour.
Standard MARKAL/TIMES model is expected to give a basic framework that will bring the debate to the same energy optimising platform with ETSAP participating countries such as Belgium, Canada, Danemark, Finland, France, Germany, Greece, Ireland, Italy, Japan, Korea, Netherlands, Norway, Russia, Spain, Sweden, Switzerland, United Kingdom, USA. It is a feature-rich and self-contained tool to identify and compare possible evolution paths to achieve a sustainable energy system in the long term.
Social MARKAL extensions give the modeler the possibility to address consumer behaviour on the demand side that does not correspond to the hypothesis of perfect information and perfect economic rationality. Consumers act in a suboptimal way either because they are not in possession of the information that would allow them to make better decisions, or they do not optimise their own utility based on the least-cost criterion, or even because they use an appliance or a technology in a different way from that it was designed for, for example using a bus for living, using a kitchen stove as an additional heating body, or a TV receiver as simulator of presence for lonely persons.
The deliverables will consist of an extensive database of all technologies used and that could come onto local market within next decades, together with all their technical and economical attributes and possible residual installed capacities for technologies already installed at the beginning of the modeling period. Also, scenarios for possible energy carrier prices, evolution of useful demand in sectors such as heating, lighting, transportation and end-products for industry and scenarios for emission limits. With that data, it will be possible to face different possible evolutions of the economy both as determinist and stochastic scenarios and foresee the need for hedging by postponing investment decisions until the incertitude has been dissipated. Finally, inclusion of social and behavioural parameters will allow the decision maker to design information policy to maximise the impact of political decisions on the demand side. This tool will be helpful to make robust and sustainable decisions about the energetic orientation of the country on a long-term horizont.

Equipe de recherche au sein de la HES-SO: Moresino Francesco

Partenaires académiques: Ion Smeureanu, Bucharest University of Economics

Durée du projet: 01.10.2012 - 01.03.2015

Montant global du projet: 322'578 CHF

Statut: Terminé

Investir judicieusement dans la qualité et la publicité afin de mitiger une éventuelle crise produit.
AGP

Rôle: Requérant(e) principal(e)

Financement: HES-SO Rectorat

Description du projet : Les rappels de lots de produits sont le cauchemar de toute entreprise car ils ont un effet désastreux sur leurs ventes et leur image. Ce projet propose un nouveau modèle permettant de calculer les investissements optimaux dans la qualité et la publicité afin de réduire la probabilité de survenance d'une éventuelle crise produit et atténuer ses effets. Cette approche fait appel à la théorie du contrôle stochastique et peut être utilisée aussi bien pour les produits tangibles que pour les services.

Equipe de recherche au sein de la HES-SO: Moresino Francesco

Partenaires académiques: 519,Economie d'entreprise

Durée du projet: 01.02.2013 - 01.02.2015

Montant global du projet: 96'500 CHF

Statut: Terminé

Traitement du linge personnel des personnes âgées : étude de marché et de la valeur perçue
AGP

Rôle: Requérant(e) principal(e)

Financement: Fondation Trajets

Description du projet : Implantée dans la cité, au plus proche de la population et de la vie économique, la Fondation Trajets s'emploie à mettre à profit les ressources existantes au sein des quartiers et des communautés pour lutter contre l'exclusion des personnes souffrant de troubles psychiques. Cette fondation de droit privé contribue à créer ou recréer les réseaux sociaux et développe des moyens concrets pour répondre aux besoins des personnes, afin de les aider à prendre une place qui leur convienne et à occuper des rôles sociaux valorisés et reconnus au sein de la collectivité. Pour ceci elle développe quatre secteurs d'activités : les entreprises sociales, les loisirs, l'hébergement et le psychosocial.

Equipe de recherche au sein de la HES-SO: Moresino Francesco

Partenaires académiques: 519,Economie d'entreprise; Moresino Francesco, 519,Economie d'entreprise

Durée du projet: 01.11.2013 - 28.02.2014

Montant global du projet: 38'144 CHF

Statut: Terminé

Enquête des habitants de l'arc lémanique, Forum 2013 "Et maintenant ?"
AGP

Rôle: Requérant(e) principal(e)

Financement: Ville de Nyon; UNI global union; Magazine Bilan

Description du projet : Dans le cadre de l'édition 2013 du Forum "Et maintenant ?", le mandant souhaite connaître les points de vue des habitants de l'arc lémanique sur les thèmes de la liberté et de la sécurité. Les résultats qui en découleront serviront de fil rouge pour la journée du 3 octobre 2013, organisée en collaboration avec le magazine Bilan et la Ville de Nyon.

Equipe de recherche au sein de la HES-SO: Fragniere Emmanuel , Moresino Francesco , Cardetas Claudia

Partenaires académiques: 519,Economie d'entreprise; Fragniere Emmanuel, 519,Economie d'entreprise

Durée du projet: 01.02.2013 - 03.10.2013

Montant global du projet: 8'400 CHF

Statut: Terminé

From Prototype To Product
AGP

Rôle: Co-requérant(s)

Financement: HES-SO Rectorat; EIG - INIT; 519,Economie d'entreprise; SIM-TIC; Interreg4

Description du projet : L'objectif stratégique du projet From-P2P est de produire, à partir d'un prototype existant appelé XtremWeb-CH (www.xtremwebch.net), développé depuis 2003 à la HES-SO (EIG, HEIG-VD et EI-ARC), un Système Distribué à Large Echelle (SDLE) grand public, sécurisé et attrayant. Un SDLE grand public signifie qu'il peut supporter des ordinateurs anonymes appartenant à des particuliers (et non pas uniquement des ordinateurs dédiés appartenant à des institutions). Un SDLE est sécurisé s'il apporte une solution efficace et simple à mettre en 'uvre aux problèmes de la sécurité liés à l'ordinateur du fournisseur et à l'application du client. Un SDLE est dit attrayant s'il est facile d'utilisation et s'il suscite l'intérêt du fournisseur des ressources informatiques (ordinateurs). Pour ce faire, il est important de tester le SDLE concerné dans le cadre de plusieurs applications concrètes appartenant à des domaines différents. L'effet direct du déploiement d'un tel SDLE, est de permettre l'exécution d'applications industrielles et médicales à haute performance qui restent jusqu'à ce jour peu accessibles étant donné les ressources de calcul qu'elles nécessitent. Ces applications à des plusieurs domaines tels que le biotechnologie et la médecine.

Equipe de recherche au sein de la HES-SO: Fragniere Emmanuel , Bilat Cédric , Grunenwald David , Moresino Francesco , Abdennadher Nabil , Senn Julien

Partenaires académiques: Info. Technique

Durée du projet: 01.01.2009 - 31.12.2011

Montant global du projet: 324'354 CHF

Statut: Terminé

Virtual Easy Grid
AGP

Rôle: Co-requérant(s)

Financement: HES-SO Rectorat; EIG - INIT; 519,Economie d'entreprise; SIM-TIC; SWITCH; EIG - INIT

Description du projet : Five technical goals are targeted by the Virtual EZ-Grid project: 1. Construct a desktop grid infrastructure with more than 1.500 non dedicated desktop PCs to provide harvested CPU power for scientific research projects. 2. Implement a reliable platform by using virtual environments to support secure computing and remote check-pointing. By using Wake-On-LAN technology, this project will also provide a better control over environmental issues and energy consumption by running only the necessary PCs and shutting down unused PCs at night and during holidays. The proposed platform should give a non-intrusive and non-disturbing experience to the PC users. 3. Guarantee the security and privacy of both the PC user and the virtual CPU environment by using the virtual isolation layer property, certificate and proper authentication of grid user. 4. Provide a resource-credit system that can be used in the future to evaluate the potential resource-credit schemes that could be established and the relevant criteria that should be used to determine a 'fair' incentive taking into account the point of views of providers and consumers of virtual PC resources. 5. Evaluate objectives 1 through 4 in a real world setting with two biomedical applications. The benefit of reaching these goals is to provide a highly available, secure and inexpensive PC grid infrastructure to participating universities and research groups. Harvesting unused CPU cycles from farms of PCs with virtualization technology allows researchers to use their existing code on their existing platforms without any or with little modification. Furthermore, this project removes the boundary between participating universities by sharing resources and jobs. In addition to the technical issues, one also has to face the economic perception and provide incentives to offer one's own machine to the community. Defining good practices and convincing users and authorities that the grid concept is useful and can be gracefully deployed at the scale of the full institution, as well as external institutions, is also an important goal of this project. In this context, the results of the project could be deployed on a public computing platform (anonymous nodes). Although this issue is not considered as an objective of the project, it will be retained as a guideline of Virtual EZ Grid. Another goal to consider is the opening of the different middlewares that will be used in the framework of this project at the Swiss level, in accordance to the objectives of the Swiss National Grid association (SwiNG).

Equipe de recherche au sein de la HES-SO: Fragniere Emmanuel , Kunzli Pierre , Bilat Cédric , Moresino Francesco , Abdennadher Nabil , Senn Julien

Partenaires académiques: Info. Technique

Durée du projet: 01.11.2008 - 30.11.2010

Montant global du projet: 222'790 CHF

Statut: Terminé

2024

Optimal investment in advertising and quality to mitigate a possible product-harm crisis
Article scientifique ArODES

Francesco Moresino

Open journal of business and management,  Vol. 12, No. 3, pp. 1390-1402

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Résumé:

Product-harm crises are the nightmare of any firm due to their disastrous effects on sales and image. These crises lead to loss of consumer trust, severe damage to brand reputation, extensive negative media coverage, legal and financial repercussions, decline in market share, negative impact on investor confidence, and increased regulatory scrutiny. Overall, product-harm crises pose significant challenges to companies, emphasizing the critical importance of effective risk management and crisis preparedness. The present paper proposes a new model to compute the optimal investment in quality and advertising in order to reduce the probability of occurrence of a possible product-harm crisis and mitigate its effects. This method uses stochastic control theory and can be used for both tangible products and services. An extension of this method is also proposed in order to take endogenously competition. This extension uses a game theoretical approach

2023

Coordination of plug-in electric vehicle charging in a stochastic framework :
Article scientifique ArODES
a decentralized tax/incentive-based mechanism to reach global optimality

Simone Balmelli, Francesco Moresino

Mathematics,  2023, Vol. 11, no. 4, 999

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Résumé:

We address the problem of charging plug-in electric vehicles (PEVs) in a decentralized way and under stochastic dynamics affecting the real-time electricity tariff. The model is formulated as a Nash equilibrium seeking problem, where players wish to minimize the costs for charging their own PEVs. For finite PEVs populations, the Nash equilibrium does not correspond to the social optimum, i.e., to a control strategy minimizing the total electricity costs at the aggregate level. We accordingly introduce some taxes/incentives on the price of electricity for charging PEVs and show that it is possible to tune them so that (a) the social optimum is reached as a Nash equilibrium, (b) in correspondence with this equilibrium, players do not pay any net total tax, nor receive any net total incentive.

2021

A robust share-of-choice model
Article scientifique ArODES

Francesco Moresino

Mathematics,  2021, vol. 9, no. 3, article 288, pp. 1-10

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Résumé:

In this paper, we propose an approach to take into account , in a robust way, part-worth uncertainty in a share-of-choice (SOC) model. More precisely, we extend the method proposed by Wang and Curry by endogenously including competition. Indeed in their approach, competition is described exogenously and the model cannot take into account part-worth uncertainty for the competition’s products. Our extension permits us to take into account all effects of part-worth uncertainty, even those relative to the competition, and therefore improve substantially Wang and Curry’s approach.

Estimating the market share for new products with a split questionnaire survey
Article scientifique ArODES

Simone Balmelli, Francesco Moresino

Mathematical and computational applications,  2021, vol. 26, no. 1, pp. 1-22

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Résumé:

When designing a new product, conjoint analysis is a powerful tool to estimate the perceived value of the prospects. However, it has a drawback: when the product has too many attributes and levels, it may be difficult to administrate the survey to respondents because they will be overwhelmed by the too numerous questions. In this paper, we propose an alternative approach that permits us to bypass this problem. Contrary to conjoint analysis, which estimates respondents’ utility functions, our approach directly estimates market shares. This enables us to split the questionnaire among respondents and, therefore, to reduce the burden on each respondent as much as desired. However, this new method has two weaknesses that conjoint analysis does not have: first, inferences on a single respondent cannot be made; second, the competition’s product profiles have to be known before administrating the survey. Therefore, our method has to be used when traditional methods are less easily implementable, i.e., when the number of attributes and levels is large. View Full-Text

2019

A hedonic approach to estimate the price of reliability, energy efficiency and safety for new cars in Switzerland
Article scientifique ArODES

Francesco Moresino

American Journal of Industrial and Business Management,  2019, vol. 9, no. 3, pp.468-481

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Résumé:

When purchasing a car in Switzerland, consumers can consult three quality labels. First, a reliability label provides the probability that a given car will have a breakdown in the next year. Second, an energy efficiency label, based on fuel consumption and carbon dioxide emissions, ranks cars from A to G. Third, a safety label, based on crash tests, ranks cars from five to one stars. The aim of this paper is to establish whether these labels have an impact on the price of new cars in Switzerland. Using a hedonic regression model, we show that the reliability label influences the price. More precisely, a decrease by one per thousand of the breakdown’s probability increases, on average, the car price by 639 Swiss francs. For the energy efficiency and the safety labels, the hedonic model attains its limits due to collinearity issues and the question cannot be answered in a satisfactory way.

2018

Combining behavioral approaches with techno-economic energy models :
Article scientifique ArODES
dealing with the coupling non-linearity issue

Francesco Moresino, Emmanuel Fragnière

Energies,  2018, vol. 11, no. 7, pp. 1-14

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Résumé:

Consumer behaviour is often complex and even sometimes not economically rational. Wrongly, the first techno-economic energy planning models assumed the economic rationality hypothesis and, therefore, represented consumers’ behaviour incorrectly. Nevertheless, the current trend is to couple these models with behavioural approaches that were specially developed to describe the real consumer choices. A novel approach was recently proposed, where a classical energy model is coupled with a share of choice model. This new approach has however two weaknesses. First, the share of choice increases the computational complexity as it necessitates additional binary variables for the modelling. Second, for complex models, the inclusion of the share of choice can lead to non-linearity and hence to severe computational problems. In the present paper, we propose to improve this method by externalizing the share of choice. Doing so, the number of binary variable will be reduced and the linearity property will be kept even for complex models.

2017

Coupling techno-economic energy models with behavioral approaches
Article scientifique ArODES

Emmanuel Fragnière, Roman Kanala, Francesco Moresino, et al.

Operational research,  2017, vol. 17, no. 2, pp. 633-647

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Résumé:

Classical energy planning models assume that consumers are rational, which is obviously rarely the case. This paper proposes an original method to take into account the consumer's real behavior in an energy model. This new hybrid model combines technical methods from operations research with behavioral approaches from social sciences and couples a classical energy model with a Share of Choice model.

2013

L'étude de marché en pratique : méthodes et applications
Livre ArODES

Emmanuel Fragnière, Francesco Moresino, Nathalie Uwase Turin, Jean Tuberosa

Bruxelles : De Boeck, 2013. 149 p. ISBN 978-2-8041-7498-9

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2012

Designing and pricing services based on customer-perceived value : an airline company feasibility study
Article scientifique ArODES

Emmanuel Fragnière, Angela Lombardi, Francesco Moresino

In : Service science, 2012,

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2011

SOCIO - MARKAL : integrating energy consumption behavioral changes in the technological optimization framework
Article scientifique ArODES

Gustave Nguene, Emmanuel Fragnière, R. Kanala, D. Lavigne, Francesco Moresino

Energy for Sustainable Development, 2011, vol. 15, p. 73-83,

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2010

Pricing services in a grid of computers using priority segmentation
Article scientifique ArODES

Emmanuel Fragnière, Francesco Moresino

Journal of service science and management, 2010, vol. 3, no. 3, p. 345-351,

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Behavioral and technological changes regarding lighting consumptions : a MARKAL case study
Article scientifique ArODES

Emmanuel Fragnière, Roman Kanala, Denis Lavigne, Francesco Moresino, Gustave Nguene

Low carbon economy, 2010, vol. 1, no. 1, p. 8-17,

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2009

SOCIO – MARKAL (SOMARKAL) : first modeling attempts in the Nyon residential and commercial sectors taking into account behavioral uncertainties
Rapport ArODES

Cédric Cubizolle, Emmanuel Fragnière, Roman Kanala, Denis Lavigne, Francesco Moresino, Gustave Parfait Nguene, Alexandre De Sousa

Genève : Haute école de gestion de Genève, 2009. 43 p. Cahier de recherche no HES-SO/HEG-GE/C--09/9/1--CH 

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2008

An oracle based method to compute a coupled equilibrium in a model of international climate policy
Article scientifique ArODES

Laurent Drouet, Alain Haurie, Francesco Moresino, Jean-Philippe Vial, Marc Vielle, Laurent Viguier

Computational Management Science, 2008, vol. 5, no. 1/2, p. 119-140,

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Singularly perturbed piecewise deterministic games
Article scientifique ArODES

Alain Haurie, Francesco Moresino

SIAM Journal on Control and Optimization, 2008, vol. 47, no. 1, p. 73-91,

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2007

Two-time scale controlled Markov chains : a decomposition and parallel processing approach
Article scientifique ArODES

Alain Haurie, Francesco Moresino

IEEE transactions on automatic control, 2007, vol. 52, no. 12, p. 2325 - 2331,

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2006

A two-level differential game of international emissions trading
Chapitre de livre ArODES

Alain Haurie, Francesco Moresino, Laurent Viguier

In : HAURIE, Alain (éd.)... [et al.] Advances in dynamic games applications to economics, management science, engineering, and environmental management. Boston : Birkhäuser, 2006. P. 293-307. (Annals of the International Society of Dynamic Games ; vol. 8). 2006

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A stochastic control model of economic growth with environmental disaster prevention
Article scientifique ArODES

Alain Haurie, Francesco Moresino

Automatica, 2006, vol. 42, no. 8, p. 1417–1428,

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2005

A differential game of debt contract valuation
Chapitre de livre ArODES

Alain Haurie, Francesco Moresino

In : DROR, Moshe, éd. ... [et al.]. Modeling uncertainty : an examination of stochastic theory, methods, and applications. New York : Kluwer, 2005. P. 269-283. (International Series in Operations Research & Management Science). 2005

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2002

S-Adapted Oligopoly Equilibria and Approximations in Stochastic Variational Inequalities
Article scientifique ArODES

Alain Haurie, Francesco Moresino

Annals of Operations Research, 2002, vol. 114, no. 1/4, p. 183-201,

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Singularly perturbed hybrid control systems approximated by structured linear program
Chapitre de livre ArODES

Alain Haurie, Francesco Moresino, J. - P. Vial

In : HOU, Zhenting (ed.)... [et al.]. Markov processes and controlled Markov chains. Dordrecht : Kluwer, 2002. P. 443-463. 2002

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2001

Computation of S-adapted equilibria in piecewise deterministic games via stochastic programming methods
Chapitre de livre ArODES

Alain Haurie, Francesco Moresino

In : ALTMAN, Eitan (éd.) Advances in Dynamic Games and Applications. Boston : Birkhäuser, 2001. P. 225-252. (Annals of the International Society of Dynamic Games ; vol. 6). 2001

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2000

A stochastic programming approach to manufacturing flow control
Article scientifique ArODES

Alain Haurie, Francesco Moresino

IIE Transactions, 2000, vol. 32, no. 10, p. 907-919,

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Approximating nash-equilibria in nonzero-sum games
Article scientifique ArODES

Eitan Altman, Alain Haurie, Francesco Moresino, Odile Pourtallier

International game theory review, 2000, vol. 2, no. 2, p. 3,

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1999

Using viscosity solution for approximations in piecewise deterministic control systems
Rapport ArODES

Francesco Moresino, Odile Pourtallier, Mabel M. Tidball

Sophia Antipolis : INRIA, 1999. 20 p. Rapport de recherche no 3687

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Stochastic optimization : numerical methods
Thèse de doctorat ArODES

Francesco Moresino

1999

Alain, Haurie, Professeur, Université de Genève

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2024

Developing card-based surveys :
Conférence ArODES
focus group insights for smart grid prosumer optimization

Emmanuel Fragnière, Sarah Sandoz, Nabil Abdennadher, Francesco Moresino

Proceedings of the 12th International Conference on Smart Grid (icSmartGrid)

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Résumé:

This study presents a novel approach to developing effective surveys for optimizing residential micro-grid configurations, integrating insights from focus group research. The development of card-based questionnaires allows for the collection of qualitative feedback, which in turn enables the understanding of prosumer (i.e., producer/consumer) preferences and the improvement of microgrid design. By integrating insights from focus groups, we construct card-based questionnaires that capture the nuances of prosumer perspectives on energy infrastructure, pricing mechanisms, information sharing, community engagement, regulations, and governance. The methodology employed three key phases: ethnographic surveys to identify salient attributes, combining technical and social attributes through interviews and focus groups, and conjoint analysis to quantify attribute importance. In this paper, a previous ethnographic survey was employed to develop a card-based questionnaire for use in a subsequent conjoint analysis survey. This research contributes to the development of optimized micro-smart grid configurations that are conducive to widespread adoption and sustainability.

Managing tourism crises :
Conférence ArODES
an MDP-based approach for optimal investment strategies

Emmanuel Fragnière, Francesco Moresino

Smart innovation, systems and technologies

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Résumé:

Based on optimal control theory, we propose a model to determine the optimal allocation of resources between investment in production and prevention/mitigation measures, with the aim of maximising the expected benefit in a mountain destination facing a crisis scenario. Specifically, we consider the case of a potential crisis caused by melting permafrost, leading to a landslide and the evacuation of tourists trapped in the resort. This problem can be formulated as a Markov decision problem (MDP). In this MDP, the decision maker has to choose the optimal action at each stage of the problem in order to maximise the expected benefit in the long run, taking into account the potential risks and losses associated with a crisis scenario. The transition probabilities between states depend on the current level of investment and risk, as well as the stochastic nature of permafrost melt and landslide risk. The expected rewards associated with each action depend on the current state and potential outcomes of the crisis scenario. The actions available at each stage of the problem include investment in production, investment in prevention/mitigation measures, or inaction. By solving this MDP, through a corresponding mathematical programming problem, we can determine the optimal investment strategy that maximises the expected benefit while minimising the risk in the face of a potential crisis caused by melting permafrost and the consequences for the mountain destination. A numerical experiment based on fictitious data is proposed to show how the method can be applied.

2020

Decentralized computation of charging controls for plug-in electric vehicles in the S-adapted information structure
Conférence ArODES

Simone Balmelli, Francesco Moresino

Proceedings of the European Control Conference 2020

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Résumé:

We study the problem of charging an arbitrary number of plug-in electric vehicles (PEV) under a real-time electricity tariff that depends on the instantaneous grid load, with the addition of a stochastic process that affects the non-PEV demand. Each PEV is subjected to individual and coupling constraints. Formally, we are facing a Generalized Nash Equilibrium (GNE) seeking problem for stochastic aggregative games. The stochastic dynamics is modelized as an event tree and included according to the S-adapted information structure, which is suitable to describe stochastic processes that are independent of the players’ control. The equilibrium is calculated by employing a decentralized scheme. We observe that the valley-filling behavior, which has been observed in previous studies concerning the PEV problem, can be significantly altered by the stochastic dynamics.

Emotion regulation as risk management for industrial crisis resolution :
Conférence ArODES
an MDP model driven by field data on interpersonal emotion management (IEM)

Corinne Post, Francesco Moresino, Emmanuel Fragnière

Proceedings of 2020 9th International Conference on Industrial Technology and Management (ICITM)

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Résumé:

Existing risk control systems seeking to evaluate and alleviate the negative outcomes of industrial production crises typically fail to consider the role of human factors, such as managers' interpersonal emotion management. Yet, literature in applied psychology shows that leaders elicit very different reactions from others as a function of leaders' abilities to regulate their emotions and those of people around them, particularly in times of crisis. Unfortunately, these two research communities tend to work in silos. Consequently, this research aims at developing a decision-making meta-model for addressing production crises that relies on both management science and applied psychology. A practical production crisis decision model is developed that couples the formalized decision making framework of a Markov Decision Process (MDP) with empirical data on interpersonal emotion management. This model is applied to cases of production crises or disruptions where managers use different levels of Interpersonal Emotion Management (IEM).

2019

Optimal design of e-service :
Conférence ArODES
a robust approach

Francesco Moresino

Proceedings of the 18th International Conference on Informatics in Economy (IE 2019)

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Résumé:

Service design optimizers benefited greatly from the development of conjoint analysis, which appeared more than forty years ago. Conjoint analysis is a powerful and popular method to estimate consumers’ preferences. As this method is based on a survey, the estimated utility functions can be subject to inaccuracies. In this paper, we propose a service design optimizer that combines robust programming and conjoint analysis. This permits one to identify the optimal service, even when the utility functions are subject to uncertainties.

2017

Optimal design and pricing of e-services
Conférence ArODES

Francesco Moresino

Proceedings of the 16th International Conference on Informatics in Economy (IE 2017)

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Résumé:

Ideally, the price of a service should take into account the cost structure, the perceived value to customers and the competition. Apparently, the only method satisfying these properties which is valid even for non-homogeneous services was proposed by Debély et al. (2008) and Fragnière et al. (2008). However, this method has a major drawback: to be able to construct the model, one must be familiar with operations research. In this paper, we develop a generic model that requires only data and where no modelling is needed. This permits even non-specialists to use this powerful method.

2015

Optimizing residential energy consumption in Romania
Conférence ArODES

Ion Smeureanu, Francesco Moresino, Marian Dardala, Adriana Reveiu, Felix Furtuna

Springer Proceedings in Energy : 2nd International Congress on Energy Efficiency and Energy Related Materials (ENEFM2014)

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Résumé:

This paper proposes a modelling approach based on TIMES/VEDA systems, designed to optimize energy system model and connected aspects, like economic development and consumer behaviour, in order to decrease energy consumption in households. The economic and technological factors have been used to set-up the energy model. A case study of Romania’s residential energy consumption model is included.

Coupling techno-economic energy models with a share of choice
Conférence ArODES

Francesco Moresino, Emmanuel Fragnière, Roman Kanala, Adriana Reveiu, Ion Smeureanu

Proceedings of the IE 2015 International Conference

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Résumé:

Classical energy planning models assume that consumers are rational and this is obviously not always the case. This paper proposes an original method to take into account the consumer’s real behavior in an energy model. It couples a classical energy model with a Share of Choice model.

Investing optimally in advertising and quality to mitigate product-harm crisis
Conférence ArODES

Francesco Moresino

Proceedings of the IE 2015 International Conference

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Résumé:

Product-harm crisis are the nightmare of any firm as they have a disastrous effect on their sales and image. This paper proposes a new model to compute the optimal investment in quality and advertising in order to reduce the probability of occurrence of a possible product-harm crisis and mitigate its effects. This method uses stochastic control theory and can be used for both tangible products and services.

2014

Long term energy and environmental planning models driven by perceived value of energy services :
Conférence ArODES
mixing technoeconomic models with behavioral approaches

Emmanuel Fragnière, Metin Caliskan, Roman Kanala, Francesco Moresino, Ion Smeureanu

In : Proceedings of the 53rd Meeting of the Euro Working Group on Commodities and Financial Modelling (EWGCFM) and 2nd International Conference of the Research Centre for Energy Management (RCEM), Chania, 22-24 of May 2014. London : Research Centre for Energy Management, 2014.

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Understanding behaviour, perception and attitudes of domestic lighting consumers in Romania
Conférence ArODES

Adriana Reveiu, Ion Smeureanu, Roman Kanala, Francesco Moresino

In : Proceedings of the IE 2014 International Conference : International Conference on Informatics in Economy ; Education, Research & Business Technologies, Bucharest, 15-18 May 2014. Bucharest : IE, 2014, pp. 345-351. ISSN: 2247 - 1480

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2011

Development of pricing models for intangible services based on conjoint analysis and mathematical programming : a case study about the design of credit card services in China
Conférence ArODES

Emmanuel Fragnière, Francesco Moresino, Zheng Nan

SRII Global Conference (SRII), 2011 Annual, 2011, p. 653-662

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2010

Conjoint analysis experimental design for services involving multiple options
Conférence ArODES

Emmanuel Fragnière, Francesco Moresino, Neda Javanmardi

Proceedings of the 2010 IEEE International Conference on Service Operations and Logistics and Informatics (SOLI), p. 1-6

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2009

Services pricing : a shared grid case study
Conférence ArODES

N. Abdennadher, A. Agrawal, Emmanuel Fragnière, Francesco Moresino

Proceedings of the IEEE International Conference on Service Operations and Logistics, and Informatics, 2009, p. 323-328

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2008

The concept of shadow price to monetarize the intangible value of expertise
Conférence ArODES

Emmanuel Fragnière, C. Heitz, Francesco Moresino

Proceedings of the IEEE/INFORMS International Conference on Service Operations and Logistics, and Informatics, 2008, vol. 2, p. 1736-1741

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2006

Computing equilibria in stochastic game models of intergenerational equity
Conférence ArODES

Alain Haurie, Francesco Moresino

International Game Theory Review, 2006, vol. 8, no 2, p. 273-293

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2000

Decomposition and parallel processing techniques for two-time scale controlled Markov chains
Conférence ArODES

J.-A. Filar, J. Gondzio, Alain Haurie, Francesco Moresino, J.-P. Vial

Proceedings of the 39th IEEE Conference on Decision and Control, 2000, vol. 1, p. 711-716

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1999

Oligopolies as dynamic games: a computational economics perspective
Conférence ArODES

Alain Haurie, Francesco Moresino, Odile Pourtallier

In : Kall, P. (ed.) Operations research proceedings 1998 : selected papers of the International Conference on Operations Research, Zurich, August 31-September 3, 1998. Berlin : Springer, 1999. P. 41-52

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