کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10523000 956098 2005 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Supply chain diagnostics with dynamic Bayesian networks
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی صنعتی و تولید
پیش نمایش صفحه اول مقاله
Supply chain diagnostics with dynamic Bayesian networks
چکیده انگلیسی
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Industrial Engineering - Volume 49, Issue 2, September 2005, Pages 339-347
نویسندگان
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