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The application of Supply Chain Operations Reference (SCOR) model: Herb supply chain in Dong Bang Village, Thailand |
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| รหัสดีโอไอ | |
| Creator | 1. Natanaree Sooksaksun 2. Kiadtikun Wavnum 3. Jitraporn Thepklang 4. Sasimaporn Seehaworg |
| Title | The application of Supply Chain Operations Reference (SCOR) model: Herb supply chain in Dong Bang Village, Thailand |
| Publisher | Faculty of Engineering, Khon Kaen University |
| Publication Year | 2566 |
| Journal Title | Engineering and Applied Science Research |
| Journal Vol. | 50 |
| Journal No. | 3 |
| Page no. | 244-250 |
| Keyword | SCOR model, Herb supply chain, SCOR performance metrics |
| URL Website | https://ph01.tci-thaijo.org/index.php/easr/index |
| Website title | Engineering and Applied Science Research |
| ISSN | 2539-6161 |
| Abstract | During the year 2021, the COVID-19 crisis caused the demand for Andrographis paniculata (Fa thalai chon) herbs to increase. But the group of Dong Bang Village farmers could not send it to customers in time and lost the opportunity to sell their products. The supply chain operations reference or SCOR model is used to diagnose supply chain management. A study on supply chain performance amongst the farmers of Dong Bang Village is lacking. Therefore, this research aims to examine the herb supply chain and determine the SCOR performance metric for analysing the issue for the farmers. The initial study involves how the herb supply chain works. Next, a questionnaire is generated and used to collect information from all the farmers in Dong Bang Village. Following this, the SCOR performance metrics are determined by using the information from the questionnaires. Finally, guidance for improvement is proposed. According to the study, the herb supply chain consists of fertilizers and seed suppliers, herb farmers, herb drying plants, Chaopraya Abhaiphubejhr Hospital, the Thai traditional medical clinic, and customers. The SCOR performance metrics determined are reliability, responsiveness, agility, cost, and asset management efficiency. Three indicators show areas for improvement. The responsiveness measure shows the issue that farmers take 9‒10 months to fulfill customer orders. The measurement of agility shows that changing the output volumes requires a long lead time. The measurement of costs is high, particularly when it comes to the cost of seeds. Subsequently, guidelines are proposed to improve efficiencies. |