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VALUE STREAM MAPPING ANALYSIS AND TRANSPORTATION IMPROVEMENT FOR TOBACCO SUPPLY CHAIN: A CASE STUDY OF TOBACCO FARMERS GROUP AT SI SAMRONG DISTRICT, SUKHOTHAI PROVINCE |
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| รหัสดีโอไอ | |
| Creator | Nattaporn Tungcharoenchai |
| Title | VALUE STREAM MAPPING ANALYSIS AND TRANSPORTATION IMPROVEMENT FOR TOBACCO SUPPLY CHAIN: A CASE STUDY OF TOBACCO FARMERS GROUP AT SI SAMRONG DISTRICT, SUKHOTHAI PROVINCE |
| Contributor | Krittima Intagoon |
| Publisher | Pibulsongkram Rajabhat University |
| Publication Year | 2566 |
| Journal Title | Life Sciences and Environment Journal |
| Journal Vol. | 24 |
| Journal No. | 2 |
| Page no. | 535-552 |
| Keyword | Tobacco leaves, Supply chain, Cultivation, Integer linear programming, Value stream mapping |
| URL Website | https://ph01.tci-thaijo.org/index.php/psru/index |
| Website title | Life Sciences and Environment Journal |
| ISSN | 2773-9201 |
| Abstract | This research aimed to analyze the supply chain from tobacco cultivation to production in the tobacco industry in the Thap Phueng Subdistrict, Si Samrong District, Sukhothai Province. The researchers collected data using the interview and inquiry methods from tobacco farmers in the upstream, midstream, and downstream tobacco cultivation processes, which took a total of 155 days to complete. The analysis was divided into two parts. In the first part, the researcher conducted a value stream mapping (VSM) study of the tobacco cultivation process. Two activities did not add value to the cultivation process of 17 activities. In the second part, integer linear programming was adopted to select the appropriate type of vehicle through the Excel solver program. From the data analyzed on the type of tractor and the distance of the location from the house to the farm, it was found that the position of the 1st – 4th rai selected the type of tractor for the farmer. In the 5th–10th position, the farmer can choose the type of E-tan truck that can reduce the transportation cost of tobacco cultivation to 11,190 baht per year. After comparing the data using the linear programming technique, the cost can be reduced by 14.74%. |
