The Practice of Healthy Elderly Service Innovation Model Based on Data Analytics
With the gradual deepening of China’s aging population, the status quo of “getting old before getting rich” has brought great challenges to the problem of elderly care. In this paper, we take the supply chain management of elderly services as the core and optimize the service cost and service qualit...
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| Format: | Article |
| Language: | English |
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Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amns.2023.2.01667 |
| _version_ | 1797340476156674048 |
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| author | Jing Meng |
| author_facet | Jing Meng |
| author_sort | Jing Meng |
| collection | DOAJ |
| description | With the gradual deepening of China’s aging population, the status quo of “getting old before getting rich” has brought great challenges to the problem of elderly care. In this paper, we take the supply chain management of elderly services as the core and optimize the service cost and service quality through a two-layer planning model to obtain the best decision-making scheme. A particle Swarm Algorithm (PSO) is proposed to solve the model with intelligent evolution, and an incentive mechanism is established on the basis of the senior care supply chain, which maximizes its revenue by relying on the contract. Finally, by improving the SCORE model, data analysis and dynamic simulation of the senior care service supply chain can be carried out. The results show that the supply chain of senior care service reaches the optimization when the ratio of the capital input of community, institution and home is 0.2:0.2:0.6, and its equilibrium ratio stabilizes at about 96.0%:4%, which effectively alleviates the current pressure of senior care service. This study realizes the coordination of information and interests in the supply chain of community senior care service, which is of great practical significance for the innovation of healthy senior care service. |
| first_indexed | 2024-03-08T10:04:09Z |
| format | Article |
| id | doaj.art-4bbf4861fd3441258796cd4677fd91a5 |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-08T10:04:09Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-4bbf4861fd3441258796cd4677fd91a52024-01-29T08:52:45ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.01667The Practice of Healthy Elderly Service Innovation Model Based on Data AnalyticsJing Meng01Harbin University of Commerce, Harbin, Heilongjiang, 150028, China.With the gradual deepening of China’s aging population, the status quo of “getting old before getting rich” has brought great challenges to the problem of elderly care. In this paper, we take the supply chain management of elderly services as the core and optimize the service cost and service quality through a two-layer planning model to obtain the best decision-making scheme. A particle Swarm Algorithm (PSO) is proposed to solve the model with intelligent evolution, and an incentive mechanism is established on the basis of the senior care supply chain, which maximizes its revenue by relying on the contract. Finally, by improving the SCORE model, data analysis and dynamic simulation of the senior care service supply chain can be carried out. The results show that the supply chain of senior care service reaches the optimization when the ratio of the capital input of community, institution and home is 0.2:0.2:0.6, and its equilibrium ratio stabilizes at about 96.0%:4%, which effectively alleviates the current pressure of senior care service. This study realizes the coordination of information and interests in the supply chain of community senior care service, which is of great practical significance for the innovation of healthy senior care service.https://doi.org/10.2478/amns.2023.2.01667supply chain managementtwo-layer planning modelparticle swarm algorithmincentive mechanismdynamic simulation68p01 |
| spellingShingle | Jing Meng The Practice of Healthy Elderly Service Innovation Model Based on Data Analytics Applied Mathematics and Nonlinear Sciences supply chain management two-layer planning model particle swarm algorithm incentive mechanism dynamic simulation 68p01 |
| title | The Practice of Healthy Elderly Service Innovation Model Based on Data Analytics |
| title_full | The Practice of Healthy Elderly Service Innovation Model Based on Data Analytics |
| title_fullStr | The Practice of Healthy Elderly Service Innovation Model Based on Data Analytics |
| title_full_unstemmed | The Practice of Healthy Elderly Service Innovation Model Based on Data Analytics |
| title_short | The Practice of Healthy Elderly Service Innovation Model Based on Data Analytics |
| title_sort | practice of healthy elderly service innovation model based on data analytics |
| topic | supply chain management two-layer planning model particle swarm algorithm incentive mechanism dynamic simulation 68p01 |
| url | https://doi.org/10.2478/amns.2023.2.01667 |
| work_keys_str_mv | AT jingmeng thepracticeofhealthyelderlyserviceinnovationmodelbasedondataanalytics AT jingmeng practiceofhealthyelderlyserviceinnovationmodelbasedondataanalytics |