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Journal articles

A Decisional Modeling for Network Franchise and Supply Chain Management

Abstract : This article offers a modeling process that is aimed to evaluate and optimize logistics and financial flows in franchise networks. The proposed modeling consists in a combination of two modeling processes: the first reproduces the running logistic network through simulation and/or optimization; then data given by this model are used by a model that reproduces consequences on the mixed franchise network through a MILP (Mixed Integer Linear Programming) optimization based on the four Bradach management challenges: network growth, outlets uniformity, local responsiveness and system-wide adaptation. Applied to three networks types, the modeling process confirms that a combination of company-owned outlets and franchised outlets is the best way to manage the networks growth but also shows that the mix rate can be different between different type of networks.
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Submitted on : Monday, February 18, 2019 - 3:46:08 PM
Last modification on : Wednesday, January 19, 2022 - 12:47:47 PM


  • HAL Id : halshs-02023565, version 1


Pierre Féniès, Frédéric Gautier, Samuel Lagrange. A Decisional Modeling for Network Franchise and Supply Chain Management. Supply Chain Forum: An International Journal, Kedge Business School, 2015, 15 (3), pp.52-64. ⟨halshs-02023565⟩



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