Vehicle Routing Problem with Multi Depot Heterogeneous Fleet and Multi Period: A Real Case Study
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Date
2022
Authors
Baris Karadeniz
Mehmet Serdar Erdogan
Yigit Kazancoglu
Journal Title
Journal ISSN
Volume Title
Publisher
SPRINGER-VERLAG SINGAPORE PTE LTD
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
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.
Description
Keywords
Vehicle routing problem, Optimization, Mixed-integer linear programming, Multi depot, Heterogeneous fleet, ALGORITHM, Vehicle Routing Problem, Optimization, Mixed-Integer Linear Programming, Multi Depot, Heterogeneous Fleet
Fields of Science
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
N/A
Source
21st International Symposium on Production Research (ISPR) - Digitizing Production System
Volume
Issue
Start Page
826
End Page
836
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Citations
Scopus : 0
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