期刊
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
卷 23, 期 7, 页码 619-629出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/09511921003793809
关键词
probabilistic models; mass customisation; decision support systems
类别
资金
- CEU
This paper deals with a customer-driven manufacturing planning approach. Manufacturers have adopted modern communication technologies for the information flow related to customers' orders. However, there is still high uncertainty in the information provided. This work introduces a model for estimating the probability that, once a customer has received a potential delivery date for a product, whether they will actually place the order. In this instance the manufacturing resources should be committed to this order. The Bayesian networks method is adopted and an automotive industrial case study is discussed.
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