A Decisional Modeling for Network Franchise and Supply Chain Management

Pierre Féniès, Frédéric Gautier and Samuel Lagrange ()
Additional contact information
Pierre Féniès: CEROS - Centre d'Etudes et de Recherches sur les Organisations et la Stratégie - UPN - Université Paris Nanterre
Frédéric Gautier: IAE Paris - Sorbonne Business School
Samuel Lagrange: CleRMa - Clermont Recherche Management - ESC Clermont-Ferrand - École Supérieure de Commerce (ESC) - Clermont-Ferrand - UCA [2017-2020] - Université Clermont Auvergne [2017-2020]

Post-Print from HAL

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.

Keywords: SCM; financial flows evaluation; franchise network; optimization; mix rate (search for similar items in EconPapers)
Date: 2015-11-09
References: Add references at CitEc
Citations:

Published in Supply Chain Forum: An International Journal, 2015, 15 (3), pp.52-64. ⟨10.1080/16258312.2014.11517351⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-02023565

DOI: 10.1080/16258312.2014.11517351

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().