A hub-and-spoke architecture for a parcel delivery system using the cross-docking distribution strategy Article Swipe
Hamidreza Arbabi
,
Mohammad Mahdi Nasiri
,
Ali Bozorgi-Amiri
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1080/0305215x.2020.1808973
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1080/0305215x.2020.1808973
This article develops a hub-and-spoke architecture for a parcel delivery system using a network that includes a distribution centre and several cross-dock facilities. Several real-world assumptions, including an electric truck fleet, mobile charging station, third-party logistics, capacity constraints, last-mile deliveries and customer dissatisfaction, are incorporated in this problem. Besides, because of the high complexity of the problem, a novel matheuristic algorithm based on the combination of the fix-and-relax algorithm (FARA) and genetic algorithm (GA), namely Mb-FARGA, is developed to solve large-sized instances. A comprehensive computational analysis is accomplished to validate the proposed mathematical models and evaluate the performance of the Mb-FARGA method. According to the results, the Mb-FARGA method demonstrates a very favourable performance. Moreover, the results show that considering a distribution centre with appropriate capacity in the cross-docking system is an excellent strategy to enhance customer satisfaction, improve the system’s performance and reduce capacity shortages.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1080/0305215x.2020.1808973
- OA Status
- green
- Cited By
- 20
- References
- 56
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3083731300
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3083731300Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1080/0305215x.2020.1808973Digital Object Identifier
- Title
-
A hub-and-spoke architecture for a parcel delivery system using the cross-docking distribution strategyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-09-03Full publication date if available
- Authors
-
Hamidreza Arbabi, Mohammad Mahdi Nasiri, Ali Bozorgi-AmiriList of authors in order
- Landing page
-
https://doi.org/10.1080/0305215x.2020.1808973Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://figshare.com/articles/journal_contribution/A_hub-and-spoke_architecture_for_a_parcel_delivery_system_using_the_cross-docking_distribution_strategy/12911651Direct OA link when available
- Concepts
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Architecture, Engineering, Docking (animal), Distribution (mathematics), Mathematics, Geography, Medicine, Mathematical analysis, Archaeology, NursingTop concepts (fields/topics) attached by OpenAlex
- Cited by
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20Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 5, 2023: 4, 2022: 6, 2021: 2Per-year citation counts (last 5 years)
- References (count)
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56Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.fleet, | 30 |
| abstract_inverted_index.method | 108 |
| abstract_inverted_index.mobile | 31 |
| abstract_inverted_index.models | 93 |
| abstract_inverted_index.namely | 74 |
| abstract_inverted_index.parcel | 8 |
| abstract_inverted_index.reduce | 143 |
| abstract_inverted_index.system | 10, 129 |
| abstract_inverted_index.Several | 23 |
| abstract_inverted_index.article | 1 |
| abstract_inverted_index.because | 49 |
| abstract_inverted_index.enhance | 135 |
| abstract_inverted_index.genetic | 71 |
| abstract_inverted_index.improve | 138 |
| abstract_inverted_index.method. | 101 |
| abstract_inverted_index.network | 13 |
| abstract_inverted_index.results | 116 |
| abstract_inverted_index.several | 20 |
| abstract_inverted_index.Besides, | 48 |
| abstract_inverted_index.Mb-FARGA | 100, 107 |
| abstract_inverted_index.analysis | 85 |
| abstract_inverted_index.capacity | 36, 125, 144 |
| abstract_inverted_index.charging | 32 |
| abstract_inverted_index.customer | 41, 136 |
| abstract_inverted_index.delivery | 9 |
| abstract_inverted_index.develops | 2 |
| abstract_inverted_index.electric | 28 |
| abstract_inverted_index.evaluate | 95 |
| abstract_inverted_index.includes | 15 |
| abstract_inverted_index.problem, | 56 |
| abstract_inverted_index.problem. | 47 |
| abstract_inverted_index.proposed | 91 |
| abstract_inverted_index.results, | 105 |
| abstract_inverted_index.station, | 33 |
| abstract_inverted_index.strategy | 133 |
| abstract_inverted_index.validate | 89 |
| abstract_inverted_index.According | 102 |
| abstract_inverted_index.Mb-FARGA, | 75 |
| abstract_inverted_index.Moreover, | 114 |
| abstract_inverted_index.algorithm | 60, 68, 72 |
| abstract_inverted_index.developed | 77 |
| abstract_inverted_index.excellent | 132 |
| abstract_inverted_index.including | 26 |
| abstract_inverted_index.last-mile | 38 |
| abstract_inverted_index.complexity | 53 |
| abstract_inverted_index.cross-dock | 21 |
| abstract_inverted_index.deliveries | 39 |
| abstract_inverted_index.favourable | 112 |
| abstract_inverted_index.instances. | 81 |
| abstract_inverted_index.logistics, | 35 |
| abstract_inverted_index.real-world | 24 |
| abstract_inverted_index.shortages. | 145 |
| abstract_inverted_index.system’s | 140 |
| abstract_inverted_index.appropriate | 124 |
| abstract_inverted_index.combination | 64 |
| abstract_inverted_index.considering | 119 |
| abstract_inverted_index.facilities. | 22 |
| abstract_inverted_index.large-sized | 80 |
| abstract_inverted_index.performance | 97, 141 |
| abstract_inverted_index.third-party | 34 |
| abstract_inverted_index.accomplished | 87 |
| abstract_inverted_index.architecture | 5 |
| abstract_inverted_index.assumptions, | 25 |
| abstract_inverted_index.constraints, | 37 |
| abstract_inverted_index.demonstrates | 109 |
| abstract_inverted_index.distribution | 17, 121 |
| abstract_inverted_index.incorporated | 44 |
| abstract_inverted_index.mathematical | 92 |
| abstract_inverted_index.matheuristic | 59 |
| abstract_inverted_index.performance. | 113 |
| abstract_inverted_index.comprehensive | 83 |
| abstract_inverted_index.computational | 84 |
| abstract_inverted_index.cross-docking | 128 |
| abstract_inverted_index.fix-and-relax | 67 |
| abstract_inverted_index.hub-and-spoke | 4 |
| abstract_inverted_index.satisfaction, | 137 |
| abstract_inverted_index.dissatisfaction, | 42 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5012668029 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| corresponding_institution_ids | https://openalex.org/I23946033 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.6000000238418579 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile.value | 0.900928 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |