Goods Consumed During Transit in Split Delivery Vehicle Routing Problems: Modeling and Solution

This article presents the modeling and solution of an extended type of split delivery vehicle routing problem (SDVRP). In SDVRP, the demands of customers need to be met by efficiently routing a given number of capacitated vehicles, wherein each customer may be served multiple times by more than one...

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Main Authors: Wenzhe Yang, Di Wang, Wei Pang, Ah-Hwee Tan, You Zhou
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9115005/
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author Wenzhe Yang
Di Wang
Wei Pang
Ah-Hwee Tan
You Zhou
author_facet Wenzhe Yang
Di Wang
Wei Pang
Ah-Hwee Tan
You Zhou
author_sort Wenzhe Yang
collection DOAJ
description This article presents the modeling and solution of an extended type of split delivery vehicle routing problem (SDVRP). In SDVRP, the demands of customers need to be met by efficiently routing a given number of capacitated vehicles, wherein each customer may be served multiple times by more than one vehicle. Furthermore, in many real-world scenarios, consumption of vehicles en route is the same as the goods being delivered to customers, such as food, water and fuel in rescue or replenishment missions in harsh environments. Moreover, the consumption may also be in virtual forms, such as time spent in constrained tasks. We name such a real-world SDVRP as Split Delivery Vehicle Routing Problem with Goods Consumed during Transit (SDVRP-GCT). In this paper, we give mathematical formulas to model SDVRP-GCT and provide solutions by extending three ant colony algorithms. To the best of our knowledge, this is the first research work specifically focussing on the SDVRP-GCT problem and its solutions. To assess the effectiveness of our proposed ant colony algorithms, we first apply them on widely adopted SDVRP benchmarking instances on different scales and their correspondingly extended SDVRP-GCT instances. Then, we formulate a real-world SDVRP-GCT instance for further assessment. Based on the extensive experimental results, we discuss the pros and cons of our proposed solutions and subsequently suggest their preferable application scenarios. In summary, our proposed solutions are shown as highly efficient in solving SDVRP-GCT instances.
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spelling doaj.art-e9a3b508c3fa410ba61e996b9f6670782022-12-21T20:29:03ZengIEEEIEEE Access2169-35362020-01-01811033611035010.1109/ACCESS.2020.30015909115005Goods Consumed During Transit in Split Delivery Vehicle Routing Problems: Modeling and SolutionWenzhe Yang0https://orcid.org/0000-0003-4415-512XDi Wang1https://orcid.org/0000-0002-3171-4001Wei Pang2https://orcid.org/0000-0002-1761-6659Ah-Hwee Tan3https://orcid.org/0000-0003-0378-4069You Zhou4https://orcid.org/0000-0003-0013-1281College of Computer Science and Technology, Jilin University, Changchun, ChinaJoint NTU-UBC Research Centre of Excellence in Active Living for the Elderly, Nanyang Technological University, SingaporeSchool of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, U.KJoint NTU-UBC Research Centre of Excellence in Active Living for the Elderly, Nanyang Technological University, SingaporeCollege of Computer Science and Technology, Jilin University, Changchun, ChinaThis article presents the modeling and solution of an extended type of split delivery vehicle routing problem (SDVRP). In SDVRP, the demands of customers need to be met by efficiently routing a given number of capacitated vehicles, wherein each customer may be served multiple times by more than one vehicle. Furthermore, in many real-world scenarios, consumption of vehicles en route is the same as the goods being delivered to customers, such as food, water and fuel in rescue or replenishment missions in harsh environments. Moreover, the consumption may also be in virtual forms, such as time spent in constrained tasks. We name such a real-world SDVRP as Split Delivery Vehicle Routing Problem with Goods Consumed during Transit (SDVRP-GCT). In this paper, we give mathematical formulas to model SDVRP-GCT and provide solutions by extending three ant colony algorithms. To the best of our knowledge, this is the first research work specifically focussing on the SDVRP-GCT problem and its solutions. To assess the effectiveness of our proposed ant colony algorithms, we first apply them on widely adopted SDVRP benchmarking instances on different scales and their correspondingly extended SDVRP-GCT instances. Then, we formulate a real-world SDVRP-GCT instance for further assessment. Based on the extensive experimental results, we discuss the pros and cons of our proposed solutions and subsequently suggest their preferable application scenarios. In summary, our proposed solutions are shown as highly efficient in solving SDVRP-GCT instances.https://ieeexplore.ieee.org/document/9115005/Split delivery vehicle routing problem (SDVRP)goods consumed during transitoptimizationant colony algorithms
spellingShingle Wenzhe Yang
Di Wang
Wei Pang
Ah-Hwee Tan
You Zhou
Goods Consumed During Transit in Split Delivery Vehicle Routing Problems: Modeling and Solution
IEEE Access
Split delivery vehicle routing problem (SDVRP)
goods consumed during transit
optimization
ant colony algorithms
title Goods Consumed During Transit in Split Delivery Vehicle Routing Problems: Modeling and Solution
title_full Goods Consumed During Transit in Split Delivery Vehicle Routing Problems: Modeling and Solution
title_fullStr Goods Consumed During Transit in Split Delivery Vehicle Routing Problems: Modeling and Solution
title_full_unstemmed Goods Consumed During Transit in Split Delivery Vehicle Routing Problems: Modeling and Solution
title_short Goods Consumed During Transit in Split Delivery Vehicle Routing Problems: Modeling and Solution
title_sort goods consumed during transit in split delivery vehicle routing problems modeling and solution
topic Split delivery vehicle routing problem (SDVRP)
goods consumed during transit
optimization
ant colony algorithms
url https://ieeexplore.ieee.org/document/9115005/
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