A Mixed Integer Linear Programming Model For Solving Large-Scale Integrated Location-Routing Problems For Urban Logistics Applications at Groupe La Poste
نویسندگان
چکیده
In this work we present a large scale static, deterministic mixed inter linear programming model (MIP) solving an integrated location-routing problem (LRP) in the context of urban logistics services (ULS). We aim at determining a cost optimal infrastructure and fleet design for an urban consolidation and transportation network. The model is meant to quantitatively evaluate potential strategic moves of postal operators (POs) into the domain of urban logistics services. It was developed to support the decision making of POs such as French Groupe La Poste in designing an optimal facility network and fleet composition for the centralized consolidation and transportation of freight flows within urban centers. Based on comprehensive analyses with operating data obtained from La Poste, this paper aims at identifying the key determinants of the characteristics of an optimal infrastructure and fleet design to support the development of profitable ULS. Further, we discuss the sensitivity of the optimal design to changes in the input data of the LRP model. ∗[email protected]; WHU Otto Beisheim School of Management, Burgplatz 2, 56179 Vallendar, Germany ∗∗[email protected]; INSEAD, Boulevard de Constance, 77305 Fontainebleau, France †[email protected]; Groupe La Poste, 44 Boulevard de Vaugirard, 75757 Paris, France ‡[email protected]; Groupe La Poste, 44 Boulevard de Vaugirard, 75757 Paris, France §[email protected]; Groupe La Poste, 44 Boulevard de Vaugirard, 75757 Paris, France ¶[email protected]; WHU Otto Beisheim School of Management, Burgplatz 2, 56179 Vallendar, Germany
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