A study on patient satisfaction in a batch allocation environment
The purpose of this paper is to study the queuing problem in Singapore’s healthcare system and increase patient satisfaction by improving their queuing experience. This paper investigates the impact of waiting time and serving order of patients on their satisfaction as well as the relations...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/56089 |
| _version_ | 1826114016784678912 |
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| author | Ma, Xiaoqian Yin, Ranran Anshu Garodia |
| author2 | Wang Qinan |
| author_facet | Wang Qinan Ma, Xiaoqian Yin, Ranran Anshu Garodia |
| author_sort | Ma, Xiaoqian |
| collection | NTU |
| description | The purpose of this paper is to study the queuing problem in Singapore’s healthcare
system and increase patient satisfaction by improving their queuing experience. This
paper investigates the impact of waiting time and serving order of patients on their
satisfaction as well as the relationship between batch size and the two factors.
For this purpose, existing published materials were studied to identify candidates for
significant factors, after which information was collected from two sources. First, faceto-
face interviews were conducted with the doctors and staff at the NTU Clinic to
understand the current situation and strategies implemented. Second, a survey was
conducted in Nanyang Technological University. Based on the survey results, a
simulation was run to find the optimal value of batch size to minimize the operation and
reneging cost of the clinic as well as the opportunity cost of the patients. |
| first_indexed | 2024-10-01T03:32:38Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/56089 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:32:38Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | ntu-10356/560892023-05-19T03:30:03Z A study on patient satisfaction in a batch allocation environment Ma, Xiaoqian Yin, Ranran Anshu Garodia Wang Qinan Nanyang Business School NTU Clinic DRNTU::Business::Operations management::Supply chain management The purpose of this paper is to study the queuing problem in Singapore’s healthcare system and increase patient satisfaction by improving their queuing experience. This paper investigates the impact of waiting time and serving order of patients on their satisfaction as well as the relationship between batch size and the two factors. For this purpose, existing published materials were studied to identify candidates for significant factors, after which information was collected from two sources. First, faceto- face interviews were conducted with the doctors and staff at the NTU Clinic to understand the current situation and strategies implemented. Second, a survey was conducted in Nanyang Technological University. Based on the survey results, a simulation was run to find the optimal value of batch size to minimize the operation and reneging cost of the clinic as well as the opportunity cost of the patients. BUSINESS AND COMPUTING 2014-04-03T04:53:37Z 2014-04-03T04:53:37Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/56089 en Nanyang Technological University 43 p. application/pdf |
| spellingShingle | DRNTU::Business::Operations management::Supply chain management Ma, Xiaoqian Yin, Ranran Anshu Garodia A study on patient satisfaction in a batch allocation environment |
| title | A study on patient satisfaction in a batch allocation environment |
| title_full | A study on patient satisfaction in a batch allocation environment |
| title_fullStr | A study on patient satisfaction in a batch allocation environment |
| title_full_unstemmed | A study on patient satisfaction in a batch allocation environment |
| title_short | A study on patient satisfaction in a batch allocation environment |
| title_sort | study on patient satisfaction in a batch allocation environment |
| topic | DRNTU::Business::Operations management::Supply chain management |
| url | http://hdl.handle.net/10356/56089 |
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