Publication: Business Diagnostic methodology for supply chain analysis
| dc.contributor.author | Atthirawong W. | |
| dc.contributor.author | Choomrit N. | |
| dc.date.accessioned | 2021-04-05T04:32:17Z | |
| dc.date.available | 2021-04-05T04:32:17Z | |
| dc.date.issued | 2006 | |
| dc.date.issuedBE | 2549 | |
| dc.description.abstract | There is a need to adequately analyze the supply chain prior to embarking on the improvement recommendation and implementation. Quick scan is an analytical and systematic tool for conducting a supply chain business diagnostic. The method is relatively quick and efficient for in-depth consideration and synthesis of the overall supply chain in the given time frame. In this paper Quick scan is utilized as a quick check in the white shrimp industry in Thailand, which consists of many parties, i.e. suppliers, farmers, middle men, frozen companies, government offices, and relevant agencies. The anticipated outcome may provide more understanding and further develop generic research models for any changes and improvement in this industry. | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | 36th International Conference on Computers and Industrial Engineering, ICC and IE 2006. (2006), p.2302-2311 | |
| dc.identifier.other | 2-s2.0-84886914534 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14740/5165 | |
| dc.rights.holder | มหาวิทยาลัยศรีนครินทรวิโรฒ | |
| dc.subject.other | Diagnostic methodology | |
| dc.subject.other | Government offices | |
| dc.subject.other | Improvement recommendations | |
| dc.subject.other | Quick scan | |
| dc.subject.other | Research models | |
| dc.subject.other | Supply chain analysis | |
| dc.subject.other | Time frame | |
| dc.subject.other | White shrimps | |
| dc.subject.other | Industrial engineering | |
| dc.subject.other | Shellfish | |
| dc.subject.other | Supply chain management | |
| dc.subject.other | Industry | |
| dc.title | Business Diagnostic methodology for supply chain analysis | |
| dc.type | Conference Paper | |
| dspace.entity.type | Publication | |
| swu.datasource.scopus | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84886914534&partnerID=40&md5=522ebcca9dda74a104b9be9c71af0aa8 |
