Brief description of the paper/report Argument Original reference Use of Game theory to analyse and control Supply Chain Management Systems Gérard P. Cachon, Serguei Netessine Game Theory in Supply Chain Analysis, in Handbook of Quantitative Supply Chain Analysis: Modeling in the ebusiness Era. edited by David Simchi-Levi, S. David Wu and Zuo-Jun (Max) Shen. Kluwer. Identification The first time translate the Keywords at your own native language Please check the relevant Keywords. Keywords issues English national language (French) software & application Logiciels & applications Products Information & description Information & description method Méthodologie Objects & systems Objets & systèmes automotive Automobile Plastics Plastiques chemistry Chimie Food & beverage Aliments et boissons Pharmaceutical Pharmacie aerospace Aérospatial Financial Finance Sector Services Services advertisement & media Publicité et Media nature & environment Nature & environnement architecture Architecture biology Biologie electronic & computer Electronique et ordinateurs education & science Education et science authorities & federations Administrations et fédérations Terms of engineering Ingénierie process manufacturing Production manufacturière
Operation Structure (OS) Organization Arrangement (OA) Research & development Recherche et développement service Service marketing Commercialisation production Production design Conception controlling Control cooperation Coopération communication Communication coordination Coordination distribution of production operations & volumes Répartition des opérations et des volumes de production employment of different skills Emploi de différentes compétences optimizing of logistic transport capacities over internal links communication of management responsibilities and information negotiation of internal agreements/ control mechanisms, or agreements with external bodies selecting of assure best efficiency/ effectiveness of organization chart or coordination strategy Optimisation des capacités de transport en logistique interne Diffusion des directives de gestion et des informations Négociation d accords internes, de mécanismes de contrôle ou d accords avec des entités externes Sélection de schémas d organisation ou de stratégies de coordination assurant la meilleure efficience/efficacité Interactions with Socio-Economic Environment (ISEE) Abstract negotiation of commercial agreements with client/supplier for max profit for the network deciding of a network innovation program by the partners and negotiated with financiers forecasting of dynamic evolution of a network Game theory has become an essential tool in the analysis of supply chains with multiple agents, often with conflicting objectives. This chapter surveys the applications of game theory to supply chain analysis and outlines game-theoretic concepts that have potential for future application. We discuss both non-cooperative and cooperative game theory in static and dynamic settings. Careful attention is given to techniques for demonstrating the existence and uniqueness of equilibrium in non-cooperative games. A newsvendor game is employed throughout to demonstrate the application of various tools. Négociation d accords commerciaux avec les clients/fournisseurs pour maximiser le profit du réseau Choix par les partenaires d un programme d innovation pour le réseau, négocié avec les financiers Prévision de l évolution dynamique d un réseau mechanism and at which layer) could be more effective in reducing the variability amplification.
Description Description of the problem approached English Analyse the strategy of retailers and suppliers of a supply chain in terms of inventory management, competition, backorders Formulate the optimization criterion of each actor and his/her best response function Determine the outcome of the game: - existence conditions for a Nash Equilibrium in the static non-cooperative case, - case of multiple equilibria, - Stackelberg equilibrium when the leader plays first and the follower second, - set of equilibria in repeated, stochastic and differential games - optimal value function and payoffs in cooperative games. native language Results Construction of a brief tutorial through which Supply Chain Management (SCM) researchers can quickly locate Game Theory (GT) tools and apply Game Theory concepts. Provide references on applications of GT techniques to SCM. Show how to conduct the analysis of a SCM system using GT.
Information for the End Users and Links What s new? Application to DESNET of models and methods coming from Mathematics and Economics Comparison of different approaches of game theory (noncooperative vs cooperative, static vs dynamic) for DESNET What s useful? Mathematical tools to determine the equilibrium of a game Classification of GT concepts and GT tools Principles of the contracts able to guarantee good performance, robustness against cheating (revelation principle), fair distribution of payoffs among DESNET partners. Tools (technologies) for the implementation of results. A specific GT oriented toolbox remains to be created and implemented. Standard optimization packages can be used to compute best responses and Nash equilibria Negotiation protocols can be constructed from the contracts Decision support tools for negotiation are to be constructed (not documented in the paper) Links to the Main CODESNET Issues To be compiled by the CODESNET partners Suggestions by the author(s) are welcome (please look at the Library input page for the list of 9 issues) Additional Remarks The paper is mainly on theory and methodology. In terms of applications, it simply suggests implications for SCM.
Conceptual scheme of the paper contents: DESNET Committee (DC) Chair DESNET Agent Non-cooperative static game Classify the type of game Dynamic game : Stackelberg Repeated or stochastic Cooperative game Bayesian game Game set-up Analyse the performance Best response function Equilibrium : Existence Uniqueness Economic performance OK Improve the equilibrium through contracts
Detailed description of the main paper result: DESNET Committee (DC) Chair Identify the DESNET partners as the players of the game Analyse the situation of each DESNET partner : information, power, best response function Analyse the strategy of all the actors in a non-cooperative setting Analyse the respective power in binary relations: identify the leader and the follower in a Stackelberg game Develop mathematical arguments to determine the equilibrium of the game in the non-cooperative setting Compare the game equilibrium with the cooperative optimum Analyse the influence of partial information and contracts on the equilibrium: Signalling games, screening games, Bayesian games Use GT to better understand and optimize SCM