A solution approach for vehicle routing problem with simultaneous pickup and delivery

Yazg̈an, Harun Reşit; Büyükyılmaz, Rabia Gökçen

doi:10.16984/saufenbilder.314330

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2024

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Cited by 2 publications

References 33 publications

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Energy-efficient DC Motor Speed Control Using the Genetic Algorithm

Ivanova,

Valov

2023

2023 18th Conference on Electrical Machines, Drives and Power Systems (ELMA)

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Energy-efficient DC Motor Speed Control Using the Genetic Algorithm

Ivanova,

Valov

2023

2023 18th Conference on Electrical Machines, Drives and Power Systems (ELMA)

View full text Add to dashboard Cite

Optimization of In-Plant Logistics Through a New Hybrid Algorithm for the Capacitated Vehicle Routing Problem with Heterogeneous Fleet

Kulaç,

Kazancı

2024

SAUJS

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The vehicle routing problem (VRP) is a crucial group of transportation problems, and traditional capacitated VRP (CVRP) directly handles external logistics with a homogeneous vehicle fleet. This paper examines the CVRP from an in-plant logistic view with a heterogeneous fleet in an automotive factory. The homogeneous and heterogeneous vehicle fleets are compared to address the factory's actual in-plant logistics issues. Firstly, simulated annealing (SA), tabu search (TS) algorithms and mathematical modeling were utilized. Then, a hybrid approach was proposed, and all suggested meta-heuristic algorithms were evaluated for homogeneous and heterogeneous vehicle fleets. According to the results, the reduction rates using CVRP with the heterogeneous fleet are 17% and 36% for fleet area and distribution costs, respectively. Also, to examine the effect of the hybrid algorithm parameters on the result, traveling distance was calculated for different scenarios, and multiple regression analyses were applied. According to the multiple regression analysis, the hybrid algorithm's most affected parameter was the cooling coefficient.

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A solution approach for vehicle routing problem with simultaneous pickup and delivery

Cited by 2 publications

References 33 publications

Energy-efficient DC Motor Speed Control Using the Genetic Algorithm

Energy-efficient DC Motor Speed Control Using the Genetic Algorithm

Optimization of In-Plant Logistics Through a New Hybrid Algorithm for the Capacitated Vehicle Routing Problem with Heterogeneous Fleet

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