Vehicle Routing Problem with Soft Time Windows Based on Improved Genetic Algorithm for Fruits and Vegetables Distribution
Fresh fruits and vegetables, perishable by nature, are subject to additional deterioration and bruising in the distribution process due to vibration and shock caused by road irregularities. A nonlinear mathematical model was developed that considered not only the vehicle routing problem with time wi...
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| Published in | Discrete Dynamics in Nature and Society Vol. 2015; no. 2015; pp. 713 - 720 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Cairo, Egypt
Hindawi Limiteds
01.01.2015
Hindawi Publishing Corporation John Wiley & Sons, Inc Wiley |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1026-0226 1607-887X |
| DOI | 10.1155/2015/483830 |
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| Abstract | Fresh fruits and vegetables, perishable by nature, are subject to additional deterioration and bruising in the distribution process due to vibration and shock caused by road irregularities. A nonlinear mathematical model was developed that considered not only the vehicle routing problem with time windows but also the effect of road irregularities on the bruising of fresh fruits and vegetables. The main objective of this work was to obtain the optimal distribution routes for fresh fruits and vegetables considering different road classes with the least amount of logistics costs. An improved genetic algorithm was used to solve the problem. A fruit delivery route among the 13 cities in Jiangsu Province was used as a real analysis case. The simulation results showed that the vehicle routing problem with time windows, considering road irregularities and different classes of toll roads, can significantly influence total delivery costs compared with traditional VRP models. The comparison between four models to predict the total cost and actual total cost in distribution showed that the improved genetic algorithm is superior to the Group-based pattern, CW pattern, and O-X type cross pattern. |
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| AbstractList | Fresh fruits and vegetables, perishable by nature, are subject to additional deterioration and bruising in the distribution process due to vibration and shock caused by road irregularities. A nonlinear mathematical model was developed that considered not only the vehicle routing problem with time windows but also the effect of road irregularities on the bruising of fresh fruits and vegetables. The main objective of this work was to obtain the optimal distribution routes for fresh fruits and vegetables considering different road classes with the least amount of logistics costs. An improved genetic algorithm was used to solve the problem. A fruit delivery route among the 13 cities in Jiangsu Province was used as a real analysis case. The simulation results showed that the vehicle routing problem with time windows, considering road irregularities and different classes of toll roads, can significantly influence total delivery costs compared with traditional VRP models. The comparison between four models to predict the total cost and actual total cost in distribution showed that the improved genetic algorithm is superior to the Group-based pattern, CW pattern, and O-X type cross pattern. |
| Audience | Academic |
| Author | He, Jie Zheng, Dunyong Li, Peiqing Huang, Yongsheng Fan, Chenhao |
| Author_xml | – sequence: 1 fullname: Huang, Yongsheng – sequence: 2 fullname: Zheng, Dunyong – sequence: 3 fullname: He, Jie – sequence: 4 fullname: Li, Peiqing – sequence: 5 fullname: Fan, Chenhao |
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| CitedBy_id | crossref_primary_10_1007_s00170_015_8060_8 crossref_primary_10_1007_s11135_021_01282_9 crossref_primary_10_1155_2018_5743287 crossref_primary_10_1155_2021_6664780 crossref_primary_10_21897_23460466_1107 crossref_primary_10_26599_IJCS_2023_9100017 crossref_primary_10_1080_23311916_2020_1816148 crossref_primary_10_1155_2019_2493638 crossref_primary_10_1016_j_cie_2020_106341 crossref_primary_10_1080_23302674_2022_2074566 crossref_primary_10_1515_ijfe_2021_0295 |
| Cites_doi | 10.1080/10298436.2013.770512 10.1016/j.trc.2009.08.005 10.1057/palgrave.jors.2601791 10.1016/j.cor.2008.09.010 10.1016/j.jfoodeng.2007.07.008 10.1287/opre.35.2.254 10.1016/j.ejor.2008.02.014 10.1057/palgrave/jors/2601319 10.1016/S0305-0483(02)00064-6 10.1023/a:1026130003508 10.1023/a:1006529012972 10.1016/j.jfoodeng.2006.05.029 10.1016/j.jksus.2010.03.002 10.1016/j.ejor.2005.10.010 10.1287/trsc.31.2.170 10.1016/j.cie.2013.11.006 10.1016/j.jfoodeng.2014.09.026 10.1016/j.trc.2014.08.007 |
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| Copyright | Copyright © 2015 Peiqing Li et al. COPYRIGHT 2015 John Wiley & Sons, Inc. Copyright © 2015 Peiqing Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
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| References_xml | – reference: Li J. Guo Y. H. Theories and Methods in Optimization of Logistics Distribution 2010 China Material Press – volume: 48 start-page: 66 year: 2014 end-page: 83 ident: 13 article-title: The time-dependent vehicle routing problem with soft time windows and stochastic travel times – volume: 36 start-page: 2311 issue: 7 year: 2009 end-page: 2319 ident: 3 article-title: Production scheduling and vehicle routing with time windows for perishable food products – volume: 55 start-page: 1298 issue: 12 year: 2004 end-page: 1310 ident: 11 article-title: A metaheuristic for the vehicle-routeing problem with soft time windows – volume: 196 start-page: 1 issue: 1 year: 2009 end-page: 20 ident: 1 article-title: Application of planning models in the agri-food supply chain: a review – reference: Noraini M. R. Geraghty J. 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| Snippet | Fresh fruits and vegetables, perishable by nature, are subject to additional deterioration and bruising in the distribution process due to vibration and shock... |
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| SubjectTerms | Costs Distribution Fruit Fruits Genetic algorithms Irregularities Methods Roads Route selection Shipment of goods Vegetables Windows (intervals) |
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| Title | Vehicle Routing Problem with Soft Time Windows Based on Improved Genetic Algorithm for Fruits and Vegetables Distribution |
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