Thi Ha Dinh , Thi Thu Thuy Nguyen , Thi Thanh Tam Do , Thi Van Trang Nguyen , Hung Long Nguyen , Van Thanh Do
{"title":"利用关联规则为越南纺织服装企业选择供应商","authors":"Thi Ha Dinh , Thi Thu Thuy Nguyen , Thi Thanh Tam Do , Thi Van Trang Nguyen , Hung Long Nguyen , Van Thanh Do","doi":"10.1016/j.ajsl.2024.11.003","DOIUrl":null,"url":null,"abstract":"<div><div>The research aims to investigate the support suppliers’ decision making for Textile and Garment Vietnamese Enterprises based on using association rules mining. In order to increase the competitive advantage over other enterprises, Vietnamese enterprises are gradually shifting their production methods from CMT (Cut-Make-Trim) to FOB (Free On Board), ODM (Original Design Manufacturing), and OBM (Original Brand Manufacturing). One of the important steps for this transformation is to be self-sufficient in sourcing raw materials from selected suppliers with sufficient capabilities, meeting the requirements of price, and CSR (corporate social responsibility) to enable Vietnamese enterprises to enjoy tax incentives. The Vietnamese Enterprises participate in the textile and garment production process through importing raw materials from other countries such as China, Korea, etc. Therefore, the selection supplier issue is very important to them to enhance their business products. This study researches on finding positive ARs and negative ARs in Textile and Garment data domain via three scenarios to define the relationship of alternative criteria for selection suppliers. By using alternative method of ARM (Association Rule Mining), the experimental results show that Textile and Garment enterprises in Vietnam appreciate the CSR factor highly. This is completely in line with the previous survey research on the new factor in the supplier selection criteria of Textile and Garment enterprises in Vietnam. In another word, in this field, the CSR plays as an important role to reflect company’s image and it is the first of decision choice. The other criteria are considered after including Cost, Quality, and Delivery respectively. The remain factors of Service, Capability, Relationship, and Sourcing Country are not highly evaluated via the experiments. With different scenarios along with the association rules mined, they reflect different sets of criteria that textile and garment enterprises use to select their suppliers. Furthermore, the rare rules show situations that are very unlikely but have high reliability in reality. Based on the findings, the factors will show the essentials for suppliers to improve themselves to meet the requirements.</div></div>","PeriodicalId":46505,"journal":{"name":"Asian Journal of Shipping and Logistics","volume":"40 4","pages":"Pages 206-212"},"PeriodicalIF":3.3000,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Selection supplier for Textile and Garment enterprises in Vietnam using association rules\",\"authors\":\"Thi Ha Dinh , Thi Thu Thuy Nguyen , Thi Thanh Tam Do , Thi Van Trang Nguyen , Hung Long Nguyen , Van Thanh Do\",\"doi\":\"10.1016/j.ajsl.2024.11.003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The research aims to investigate the support suppliers’ decision making for Textile and Garment Vietnamese Enterprises based on using association rules mining. In order to increase the competitive advantage over other enterprises, Vietnamese enterprises are gradually shifting their production methods from CMT (Cut-Make-Trim) to FOB (Free On Board), ODM (Original Design Manufacturing), and OBM (Original Brand Manufacturing). One of the important steps for this transformation is to be self-sufficient in sourcing raw materials from selected suppliers with sufficient capabilities, meeting the requirements of price, and CSR (corporate social responsibility) to enable Vietnamese enterprises to enjoy tax incentives. The Vietnamese Enterprises participate in the textile and garment production process through importing raw materials from other countries such as China, Korea, etc. Therefore, the selection supplier issue is very important to them to enhance their business products. This study researches on finding positive ARs and negative ARs in Textile and Garment data domain via three scenarios to define the relationship of alternative criteria for selection suppliers. By using alternative method of ARM (Association Rule Mining), the experimental results show that Textile and Garment enterprises in Vietnam appreciate the CSR factor highly. This is completely in line with the previous survey research on the new factor in the supplier selection criteria of Textile and Garment enterprises in Vietnam. In another word, in this field, the CSR plays as an important role to reflect company’s image and it is the first of decision choice. The other criteria are considered after including Cost, Quality, and Delivery respectively. The remain factors of Service, Capability, Relationship, and Sourcing Country are not highly evaluated via the experiments. With different scenarios along with the association rules mined, they reflect different sets of criteria that textile and garment enterprises use to select their suppliers. Furthermore, the rare rules show situations that are very unlikely but have high reliability in reality. 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引用次数: 0
摘要
本研究旨在利用关联规则挖掘法研究越南纺织服装企业的供应商决策支持。为了提高相对于其他企业的竞争优势,越南企业正逐步将其生产方式从 CMT(裁剪-制作-修整)转变为 FOB(船上交货)、ODM(原始设计制造)和 OBM(原始品牌制造)。这一转变的重要步骤之一是自给自足,从选定的有足够能力的供应商那里采购原材料,满足价格和企业社会责任(CSR)的要求,使越南企业能够享受税收优惠。越南企业通过从中国、韩国等其他国家进口原材料参与纺织服装生产过程。因此,选择供应商问题对他们提升业务产品非常重要。本研究通过三种情景来确定选择供应商的备选标准的关系,从而在纺织服装数据域中发现正的 ARs 和负的 ARs。通过使用关联规则挖掘(ARM)的替代方法,实验结果表明越南的纺织服装企业非常重视企业社会责任因素。这与之前关于越南纺织服装企业供应商选择标准中新因素的调查研究完全一致。换言之,在这一领域,企业社会责任在反映公司形象方面发挥着重要作用,是决策选择的第一要素。其后考虑的其他标准分别包括成本、质量和交货期。剩下的服务、能力、关系和采购国等因素在实验中的评价并不高。不同的情景和挖掘出的关联规则反映了纺织服装企业选择供应商的不同标准。此外,稀有规则还显示了现实中不太可能出现但可靠性很高的情况。根据研究结果,这些因素将显示供应商为满足要求而进行自我改进的必要条件。
Selection supplier for Textile and Garment enterprises in Vietnam using association rules
The research aims to investigate the support suppliers’ decision making for Textile and Garment Vietnamese Enterprises based on using association rules mining. In order to increase the competitive advantage over other enterprises, Vietnamese enterprises are gradually shifting their production methods from CMT (Cut-Make-Trim) to FOB (Free On Board), ODM (Original Design Manufacturing), and OBM (Original Brand Manufacturing). One of the important steps for this transformation is to be self-sufficient in sourcing raw materials from selected suppliers with sufficient capabilities, meeting the requirements of price, and CSR (corporate social responsibility) to enable Vietnamese enterprises to enjoy tax incentives. The Vietnamese Enterprises participate in the textile and garment production process through importing raw materials from other countries such as China, Korea, etc. Therefore, the selection supplier issue is very important to them to enhance their business products. This study researches on finding positive ARs and negative ARs in Textile and Garment data domain via three scenarios to define the relationship of alternative criteria for selection suppliers. By using alternative method of ARM (Association Rule Mining), the experimental results show that Textile and Garment enterprises in Vietnam appreciate the CSR factor highly. This is completely in line with the previous survey research on the new factor in the supplier selection criteria of Textile and Garment enterprises in Vietnam. In another word, in this field, the CSR plays as an important role to reflect company’s image and it is the first of decision choice. The other criteria are considered after including Cost, Quality, and Delivery respectively. The remain factors of Service, Capability, Relationship, and Sourcing Country are not highly evaluated via the experiments. With different scenarios along with the association rules mined, they reflect different sets of criteria that textile and garment enterprises use to select their suppliers. Furthermore, the rare rules show situations that are very unlikely but have high reliability in reality. Based on the findings, the factors will show the essentials for suppliers to improve themselves to meet the requirements.