標題: Supply chain diagnostics with dynamic Bayesian networks
作者: Kao, HY
Huang, CH
Li, HL
資訊管理與財務金融系 註:原資管所+財金所
Department of Information Management and Finance
關鍵字: dynamic Bayesian networks;diagnostic reasoning;supply chain diagnostics;stochastic simulation
公開日期: 1-九月-2005
摘要: This paper proposes a dynamic Bayesian network to represent the cause-and-effect relationships in an industrial supply chain. Based on the Quick Scan, a systematic data analysis and synthesis methodology developed by Naim, Childerhouse, Disney, and Towill (2002). [A supply chain diagnostic methodlogy: Determing the vector of change. Computers and Industrial Engineering, 43, 135-157], a dynamic Bayesian network is employed as a more descriptive mechanism to model the causal relationships in the supply chain. Dynamic Bayesian networks can be utilized as a knowledge base of the reasoning systems where the diagnostic tasks are conducted. We finally solve this reasoning problem with stochastic simulation. (c) 2005 Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.cie.2005.06.002
http://hdl.handle.net/11536/13305
ISSN: 0360-8352
DOI: 10.1016/j.cie.2005.06.002
期刊: COMPUTERS & INDUSTRIAL ENGINEERING
Volume: 49
Issue: 2
起始頁: 339
結束頁: 347
顯示於類別:期刊論文


文件中的檔案:

  1. 000232099000007.pdf

若為 zip 檔案,請下載檔案解壓縮後,用瀏覽器開啟資料夾中的 index.html 瀏覽全文。