Vehicle Routing Problem with Multi Depot Heterogeneous Fleet and Multi Period: A Real Case Study

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Date

2022

Authors

Barış Karadeniz
Mehmet Serdar Erdoğan
Yigit Kazancoglu

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Springer Science and Business Media Deutschland GmbH

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Green Open Access

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Abstract

In this study we designed a vehicle routing problem model for chocolate manufacturer company to optimize their distribution system. Our model includes 3 warehouses heterogenous fleet multi period and about two dozen customers. We got our customer data directly from company. We considered distance between the customers their demands and vehicle capacities. Sensitivity analysis was made to make sure that it is effective. In the model that we designed we compared 10-15-20 customer cases with 3 depot 1 depot heterogeneous and homogeneous fleet scenarios. According to results of the study homogeneous fleet scenarios are costly. In addition using single depot is costly than using multiple depots. © 2022 Elsevier B.V. All rights reserved.

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Keywords

Heterogeneous Fleet, Mixed-integer Linear Programming, Multi Depot, Optimization, Vehicle Routing Problem, Fleet Operations, Integer Programming, Sales, Vehicle Routing, Vehicles, Case-studies, Heterogeneous Fleet, Integer Linear Programming, Mixed Integer Linear, Mixed-integer Linear Programming, Multi Depots, Multi-period, Optimisations, Real Case, Vehicle Routing Problems, Sensitivity Analysis, Fleet operations, Integer programming, Sales, Vehicle routing, Vehicles, Case-studies, Heterogeneous fleet, Integer Linear Programming, Mixed integer linear, Mixed-integer linear programming, Multi depots, Multi-period, Optimisations, Real case, Vehicle Routing Problems, Sensitivity analysis

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International Symposium for Production Research ISPR2021

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