Inventory Routing with Explicit Energy Consumption: A Mass-Flow Formulation and First Experimentation

Yun He 1 Cyril Briand 2 Nicolas Jozefowiez 1
1 LAAS-ROC - Équipe Recherche Opérationnelle, Optimisation Combinatoire et Contraintes
LAAS - Laboratoire d'analyse et d'architecture des systèmes [Toulouse]
2 LAAS-MOGISA
LAAS - Laboratoire d'analyse et d'architecture des systèmes [Toulouse]
Abstract : Energy efficiency is becoming an important criteria for the inventory systems. Our aim is to explicitly integrate the energy into the existing Inventory Routing Problem (IRP). The problem is based on a multi-period single-vehicle IRP with one depot and several customers. An energy estimation model is proposed based on vehicle dynamics. A mass-flow based Mixed Integer Linear Programming (MILP) formulation is presented. Instead of minimizing the distance or inventory cost, energy minimization is taken as an objective. Benchmark instances for inventory routing are adapted for energy estimation and experiments are conducted. The results are compared with those of the distance/ inventory cost minimization.
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Operations Research and Enterprise Systems, 2017
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Yun He, Cyril Briand, Nicolas Jozefowiez. Inventory Routing with Explicit Energy Consumption: A Mass-Flow Formulation and First Experimentation. Operations Research and Enterprise Systems, 2017. 〈hal-01702381〉

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