A decisional modelling for network franchise management: application on french networks

Abstract : This paper proposes a modelling process to evaluate/optimize logistic and financial flows in a franchise network. Our modelling is a combination of two modelling processes: a first modelling reproduces the running logistic network through simulation and/or optimization (Comelli et al., 2008a); then data given by this model are used by a model which reproduces the consequences on the mixed franchise network thanks to a Mixed Integer Linear Programming (MILP) optimization based on the four Bradach management challenges. We will apply the proposed modelling process on 3 networks types:-A bakery networks composed of a supply chain producer and a retail outlet that sells the products made by the operator of the network in his own factories (Paul, La Mie Caline, Saint Preux, La Croissanterie, Brioche Doréee, St Preux…)-A traditional Restaurant Franchise network composed of a supply chain producer and retail outlets that transform products made by the operator of the network in his own factories (Flunch, Courte Paille, La Boucherie, Buffalo Grill, Dell Arte, la Pataterie, Hippopotamus…)-A fast food restaurant franchise network composed of a supply chain producer and retail outlets that transform products made by the operator in his own factories (Mac Donalds, KFC, Quick, Domino Pizza, Class'Croute…)
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Pierre Fenies, Samuel Lagrange, Frédéric Gautier. A decisional modelling for network franchise management: application on french networks. RIRL, May 2014, Marseille, France. ⟨hal-02459446⟩

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