VEHICLE ROUTING WITH COMPARTMENTS UNDER PRODUCT INCOMPATIBILITY CONSTRAINTS
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Date
2019
Authors
Bahar Tasar
Deniz Tursel Eliiyi
Levent Kandiller
Journal Title
Journal ISSN
Volume Title
Publisher
SVENCILISTE U ZAGREBU FAKULTET PROMETNIH ZNANOSTI
Open Access Color
GOLD
Green Open Access
Yes
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OpenAIRE Views
Publicly Funded
No
Abstract
This study focuses on a distribution problem involving incompatible products which cannot be stored in a compartment of a vehicle. To satisfy different types of customer demand at minimum logistics cost the products are stored in different compartments of fleet vehicles which requires the problem to be modeled as a multiple-compartment vehicle routing problem (MCVRP). While there is an extensive literature on the vehicle routing problem (VRP) and its numerous variants there are fewer research papers on the MCVRP. Firstly a novel taxonomic framework for the VRP literature is proposed in this study. Secondly new mathematical models are proposed for the basic MCVRP together with its multiple-trip and split-delivery extensions for obtaining exact solutions for small-size instances. Finally heuristic algorithms are developed for larger instances of the three problem variants. To test the performance of our heuristics against optimum solutions for larger instances a lower bounding scheme is also proposed. The results of the computational experiments are reported indicating validity and a promising performance of an approach.
Description
Keywords
multiple-compartment vehicle routing problem, incompatible products, split delivery, multiple trips, mathematical model, heuristic algorithms, HYBRID GENETIC ALGORITHM, HETEROGENEOUS FLEET, MEMETIC ALGORITHM, DELIVERY PROBLEM, SPLIT DELIVERY, TABU SEARCH, CLASSIFICATION, COLLECTION, DEPOT, OIL, Transportation engineering, multiple-compartment vehicle routing problem, TA1001-1280, multiple compartment vehicle routing problem, incompatible products, heuristic algorithms, multiple trips, split delivery, mathematical model
Fields of Science
0211 other engineering and technologies, 02 engineering and technology
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
5
Source
Promet - Traffic&Transportation
Volume
31
Issue
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CrossRef : 5
Scopus : 8
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Mendeley Readers : 16
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