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

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 695))

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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Acknowledgements

This work was supported by the ECO-INNOVERA-1rst call EASY (ANR-12-INOV-0002).

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Correspondence to Yun He .

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Appendix

Appendix

The energy minimizing IRP mathematical model with OU inventory policy is presented below.

$$\min \sum _{t \in T} \sum _{(i,j) \in V \times V} c_{ij} m_{ij}^t + W \sum _{t \in T} \sum _{(i,j) \in V \times V} c_{ij} y_{ij}^t$$

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He, Y., Briand, C., Jozefowiez, N. (2017). Inventory Routing with Explicit Energy Consumption: A Mass-Flow Formulation and First Experimentation. In: Vitoriano, B., Parlier, G. (eds) Operations Research and Enterprise Systems. ICORES 2016. Communications in Computer and Information Science, vol 695. Springer, Cham. https://doi.org/10.1007/978-3-319-53982-9_6

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  • DOI: https://doi.org/10.1007/978-3-319-53982-9_6

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