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https://rsuir-library.rsu.ac.th/handle/123456789/3500Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Bavornwit Rojsuwan | - |
| dc.contributor.author | Junbo Yang | - |
| dc.date.accessioned | 2026-09-04T02:50:15Z | - |
| dc.date.available | 2026-09-04T02:50:15Z | - |
| dc.date.issued | 2025 | - |
| dc.identifier.uri | https://rsuir-library.rsu.ac.th/handle/123456789/3500 | - |
| dc.description | Thesis (M.Sc. (Management of Logistics)) -- Rangsit University, 2024 | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Rangsit University. Library | en_US |
| dc.subject | Cold Chain | en_US |
| dc.subject | Logistics | en_US |
| dc.subject | Refrigerated transport | en_US |
| dc.subject | Supply chain management | en_US |
| dc.subject | Refrigerated storage | en_US |
| dc.title | Important factors of cold chain management in Samut Prakan Province | en_US |
| dc.type | Thesis | en_US |
| dc.description.other-abstract | The objectives of this research were to identify the key factors influencing cold chain management in Samut Prakan Province and to examine the impact of demographic variables on its effectiveness. The study involved a sample of 225 individuals who work in, have experience with, or are connected to the cold chain business in the province. Data were analyzed using descriptive statistics, including percentage, mean, and standard deviation, along with inferential statistics through One-Way Analysis of Variance (One-Way ANOVA). The findings revealed that the majority of respondents were male, over 50 years old, held undergraduate degrees, worked in companies with 20–50 employees, were engaged in cold storage businesses, and held senior supervisory or supervisory positions. Temperature Monitoring and Compliance with Industry Regulations were identified as the most critical factors for cold chain management in Samut Prakan Province, with mean scores of 4.61 (SD = 0.54) and 4.50 (SD = 0.68), respectively. Additionally, demographic factors such as gender, age, and education significantly influenced all aspects of cold chain management in the province, with a statistical significance level of 0.05. This study provides valuable insights into the demographic influences and critical factors for enhancing cold chain management efficiency, offering practical implications for industry improvement. | en_US |
| dc.description.degree-name | Master of Science | en_US |
| dc.description.degree-level | Master's Degree | en_US |
| dc.contributor.degree-discipline | Mamagement of Logistics | en_US |
| Appears in Collections: | Grad-ML-M-Thesis | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| JUNBO YANG.pdf | 436.37 kB | Adobe PDF | View/Open |
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