Study on the Home Health Caregiver Scheduling Problem under a Resource Sharing Mode considering Differences in Working Time and Customer Satisfaction Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.1155/2020/7360765
The stage of social aging and further deepening of population aging has been witnessed in China. The demand for home care is increasingly growing; meanwhile, medical human resources are insufficient. In this context, a home health caregiver scheduling problem under the resource sharing mode is studied in this paper. Under such mode, two types of caregivers, i.e., full-time caregiver and part-time caregiver, are regarded as the main labor force by HHC institutions. In HHC planning, different working times for the two kinds of caregivers will need to be considered. Consequently, in this paper, a corresponding mathematical model is established and a hybrid algorithm that combines the whale optimization algorithm (WOA) with the particle swarm optimization (PSO) algorithm is proposed to solve the model. The proposed algorithm is compared with the existing algorithms to verify its effectiveness through three example tests of different scales and Solomon example. Finally, the resource sharing model is compared with the traditional model through a case, and the rationality of home health caregiver scheduling in the resource sharing model is discussed in terms of cost structure and customer satisfaction.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/2020/7360765
- https://downloads.hindawi.com/journals/ddns/2020/7360765.pdf
- OA Status
- gold
- Cited By
- 6
- References
- 12
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3025280242
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3025280242Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1155/2020/7360765Digital Object Identifier
- Title
-
Study on the Home Health Caregiver Scheduling Problem under a Resource Sharing Mode considering Differences in Working Time and Customer SatisfactionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-05-11Full publication date if available
- Authors
-
Heping Wang, Yuke He, Yan Li, Fuyu WangList of authors in order
- Landing page
-
https://doi.org/10.1155/2020/7360765Publisher landing page
- PDF URL
-
https://downloads.hindawi.com/journals/ddns/2020/7360765.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://downloads.hindawi.com/journals/ddns/2020/7360765.pdfDirect OA link when available
- Concepts
-
Computer science, Scheduling (production processes), Particle swarm optimization, Shared resource, Operations research, Mathematical optimization, Machine learning, Engineering, Mathematics, Computer networkTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
6Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 2, 2022: 1Per-year citation counts (last 5 years)
- References (count)
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12Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.mode | 43 |
| abstract_inverted_index.need | 85 |
| abstract_inverted_index.such | 50 |
| abstract_inverted_index.that | 103 |
| abstract_inverted_index.this | 31, 47, 91 |
| abstract_inverted_index.will | 84 |
| abstract_inverted_index.with | 110, 128, 153 |
| abstract_inverted_index.(PSO) | 115 |
| abstract_inverted_index.(WOA) | 109 |
| abstract_inverted_index.Under | 49 |
| abstract_inverted_index.aging | 4, 10 |
| abstract_inverted_index.case, | 159 |
| abstract_inverted_index.force | 68 |
| abstract_inverted_index.human | 26 |
| abstract_inverted_index.i.e., | 56 |
| abstract_inverted_index.kinds | 81 |
| abstract_inverted_index.labor | 67 |
| abstract_inverted_index.mode, | 51 |
| abstract_inverted_index.model | 96, 150, 156, 172 |
| abstract_inverted_index.solve | 120 |
| abstract_inverted_index.stage | 1 |
| abstract_inverted_index.swarm | 113 |
| abstract_inverted_index.terms | 176 |
| abstract_inverted_index.tests | 139 |
| abstract_inverted_index.three | 137 |
| abstract_inverted_index.times | 77 |
| abstract_inverted_index.types | 53 |
| abstract_inverted_index.under | 39 |
| abstract_inverted_index.whale | 106 |
| abstract_inverted_index.China. | 15 |
| abstract_inverted_index.demand | 17 |
| abstract_inverted_index.health | 35, 165 |
| abstract_inverted_index.hybrid | 101 |
| abstract_inverted_index.model. | 122 |
| abstract_inverted_index.paper, | 92 |
| abstract_inverted_index.paper. | 48 |
| abstract_inverted_index.scales | 142 |
| abstract_inverted_index.social | 3 |
| abstract_inverted_index.verify | 133 |
| abstract_inverted_index.Solomon | 144 |
| abstract_inverted_index.example | 138 |
| abstract_inverted_index.further | 6 |
| abstract_inverted_index.medical | 25 |
| abstract_inverted_index.problem | 38 |
| abstract_inverted_index.sharing | 42, 149, 171 |
| abstract_inverted_index.studied | 45 |
| abstract_inverted_index.through | 136, 157 |
| abstract_inverted_index.working | 76 |
| abstract_inverted_index.Finally, | 146 |
| abstract_inverted_index.combines | 104 |
| abstract_inverted_index.compared | 127, 152 |
| abstract_inverted_index.context, | 32 |
| abstract_inverted_index.customer | 181 |
| abstract_inverted_index.example. | 145 |
| abstract_inverted_index.existing | 130 |
| abstract_inverted_index.growing; | 23 |
| abstract_inverted_index.particle | 112 |
| abstract_inverted_index.proposed | 118, 124 |
| abstract_inverted_index.regarded | 63 |
| abstract_inverted_index.resource | 41, 148, 170 |
| abstract_inverted_index.algorithm | 102, 108, 116, 125 |
| abstract_inverted_index.caregiver | 36, 58, 166 |
| abstract_inverted_index.deepening | 7 |
| abstract_inverted_index.different | 75, 141 |
| abstract_inverted_index.discussed | 174 |
| abstract_inverted_index.full-time | 57 |
| abstract_inverted_index.part-time | 60 |
| abstract_inverted_index.planning, | 74 |
| abstract_inverted_index.resources | 27 |
| abstract_inverted_index.structure | 179 |
| abstract_inverted_index.witnessed | 13 |
| abstract_inverted_index.algorithms | 131 |
| abstract_inverted_index.caregiver, | 61 |
| abstract_inverted_index.caregivers | 83 |
| abstract_inverted_index.meanwhile, | 24 |
| abstract_inverted_index.population | 9 |
| abstract_inverted_index.scheduling | 37, 167 |
| abstract_inverted_index.caregivers, | 55 |
| abstract_inverted_index.considered. | 88 |
| abstract_inverted_index.established | 98 |
| abstract_inverted_index.rationality | 162 |
| abstract_inverted_index.traditional | 155 |
| abstract_inverted_index.increasingly | 22 |
| abstract_inverted_index.mathematical | 95 |
| abstract_inverted_index.optimization | 107, 114 |
| abstract_inverted_index.Consequently, | 89 |
| abstract_inverted_index.corresponding | 94 |
| abstract_inverted_index.effectiveness | 135 |
| abstract_inverted_index.institutions. | 71 |
| abstract_inverted_index.insufficient. | 29 |
| abstract_inverted_index.satisfaction. | 182 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5100630507 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I92178344 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/8 |
| sustainable_development_goals[0].score | 0.6299999952316284 |
| sustainable_development_goals[0].display_name | Decent work and economic growth |
| citation_normalized_percentile.value | 0.54232842 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |