學術產出-Periodical Articles

Article View/Open

Publication Export

Google ScholarTM

政大圖書館

Citation Infomation

  • No doi shows Citation Infomation
題名 Using A Max-Min Approach to Evaluate the Performance of A Supply Cluster Network
作者 林我聰
Huang, Travis K; Lin, Woo-Tsong
貢獻者 資管系
關鍵詞 Supply Chain Management; Performance Evaluation; Cluster; Supply Chain Management; Supply Network
日期 2009-02
上傳時間 18-Feb-2014 15:19:02 (UTC+8)
摘要 With the increase in the number of studies on supply chain management practices and their application, many studies have proposed methodologies that can be used by manufacturers to evaluate vendors. These methodologies allow a buyer to choose several specific indicators or multiple criteria to evaluate vendors and distinguish them from one another based on their performance. Manufacturers can then make decisions on further cooperation with vendors who have high performance scores. Nevertheless, few studies have proposed methodologies that can be used to evaluate a supply cluster network, which consists of interlaced supply chains, as a whole. In this paper, we first apply a max-min approach and attempt to determine alternative supply chain permutations in a supply cluster network, in an effort to ascertain the preferred choice from among the supply chains in the network. We use the proposed methodology to maximize the buyer’s profits under several conditions set by the buyer, and list the performance sequence of each supply chain in the supply cluster network as a whole. The results of this process can be used as criteria for future reference. Finally, we put forward suggested solutions and analytical information, and make further suggestions in relation to each individual supply chain.
關聯 Journal of Theoretical and Applied Information Technology, 5(2), 180-187
資料來源 http://www.jatit.org/volumes/research-papers/Vol5No2/8Vol5No2.pdf
資料類型 article
dc.contributor 資管系en_US
dc.creator (作者) 林我聰zh_TW
dc.creator (作者) Huang, Travis K; Lin, Woo-Tsongen_US
dc.date (日期) 2009-02en_US
dc.date.accessioned 18-Feb-2014 15:19:02 (UTC+8)-
dc.date.available 18-Feb-2014 15:19:02 (UTC+8)-
dc.date.issued (上傳時間) 18-Feb-2014 15:19:02 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/63952-
dc.description.abstract (摘要) With the increase in the number of studies on supply chain management practices and their application, many studies have proposed methodologies that can be used by manufacturers to evaluate vendors. These methodologies allow a buyer to choose several specific indicators or multiple criteria to evaluate vendors and distinguish them from one another based on their performance. Manufacturers can then make decisions on further cooperation with vendors who have high performance scores. Nevertheless, few studies have proposed methodologies that can be used to evaluate a supply cluster network, which consists of interlaced supply chains, as a whole. In this paper, we first apply a max-min approach and attempt to determine alternative supply chain permutations in a supply cluster network, in an effort to ascertain the preferred choice from among the supply chains in the network. We use the proposed methodology to maximize the buyer’s profits under several conditions set by the buyer, and list the performance sequence of each supply chain in the supply cluster network as a whole. The results of this process can be used as criteria for future reference. Finally, we put forward suggested solutions and analytical information, and make further suggestions in relation to each individual supply chain.en_US
dc.format.extent 146028 bytes-
dc.format.mimetype application/pdf-
dc.language.iso en_US-
dc.relation (關聯) Journal of Theoretical and Applied Information Technology, 5(2), 180-187en_US
dc.source.uri (資料來源) http://www.jatit.org/volumes/research-papers/Vol5No2/8Vol5No2.pdfen_US
dc.subject (關鍵詞) Supply Chain Management; Performance Evaluation; Cluster; Supply Chain Management; Supply Networken_US
dc.title (題名) Using A Max-Min Approach to Evaluate the Performance of A Supply Cluster Networken_US
dc.type (資料類型) articleen