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http://ithesis-ir.su.ac.th/dspace/handle/123456789/5857Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Jia MAO | en |
| dc.contributor | Jia Mao | th |
| dc.contributor.advisor | Choosak Pornsing | en |
| dc.contributor.advisor | ชูศักดิ์ พรสิงห์ | th |
| dc.contributor.other | Silpakorn University | en |
| dc.date.accessioned | 2025-08-14T06:48:07Z | - |
| dc.date.available | 2025-08-14T06:48:07Z | - |
| dc.date.created | 2024 | |
| dc.date.issued | 22/11/2024 | |
| dc.identifier.uri | http://ithesis-ir.su.ac.th/dspace/handle/123456789/5857 | - |
| dc.description.abstract | Managing supply chains involves not only the delivery of commodities but also the consideration of the disruption caused by various forms of uncertainty. Consequently, in order to follow a risk reduction strategy, supply chain management needs to start with risk analysis and appraisal. The grey relational analysis is a decision-making method that considers many attributes and is utilized in this article. In construction supply chain management, fifteen experts from a sample construction business in Kunming were consulted to validate three essential risk factors and fourteen sub-risk factors that were obtained from the literature. Following that, a group of five decision-makers from a sample construction project participated in the evaluation of five different suppliers of steel material. Based on the significant risk variables of time, cost, and quality, the outcome demonstrated that a regional supplier, B2, delivers superior performance compared to other rivals. The GRA procedure demonstrated that it is a straightforward method that can be implemented in actual reality. Another recommendation made by the study was to consider two specified factors with caution. | en |
| dc.description.abstract | - | th |
| dc.language.iso | en | |
| dc.publisher | Silpakorn University | |
| dc.rights | Silpakorn University | |
| dc.subject | Supply chain risk | en |
| dc.subject | multiple-attribute decision-making | en |
| dc.subject | grey relational analysis | en |
| dc.subject | construction industry | en |
| dc.subject.classification | Engineering | en |
| dc.subject.classification | Construction | en |
| dc.title | CONSTRUCTION SUPPLY CHAIN RISK MANAGEMENT: A CASE STUDY | en |
| dc.title | - | th |
| dc.type | Thesis | en |
| dc.type | วิทยานิพนธ์ | th |
| dc.contributor.coadvisor | Choosak Pornsing | en |
| dc.contributor.coadvisor | ชูศักดิ์ พรสิงห์ | th |
| dc.contributor.emailadvisor | pornsing_c@su.ac.th | |
| dc.contributor.emailcoadvisor | pornsing_c@su.ac.th | |
| dc.description.degreename | Master of Engineering (M.Eng.) | en |
| dc.description.degreename | วิศวกรรมศาสตรมหาบัณฑิต (วศ.ม) | th |
| dc.description.degreelevel | Master's Degree | en |
| dc.description.degreelevel | ปริญญาโท | th |
| dc.description.degreediscipline | INDUSTRIAL ENGINEERING AND MANAGEMENT | en |
| dc.description.degreediscipline | วิศวกรรมอุตสาหการและการจัดการ | th |
| Appears in Collections: | Engineering and Industrial Technology | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 650920036.pdf | 2.21 MB | Adobe PDF | View/Open |
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