Inclusive risk modeling for manufacturing firms: a Bayesian network approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Link
http://link.springer.com/content/pdf/10.1007/s10845-017-1374-7.pdf
Reference34 articles.
1. Cao, M., Vonderembrse, M. A., Zhang, Q., & Ragunathan, T. S. (2010). Supply chain collaboration: Conceptualization and instrument development. International Journal of Production Research, 48(22), 6613–6635.
2. Chaudhuri, A., Mohanty, B. K., & Singh, K. N. (2013). Supply chain risk assessment during new product development: a group decision making approach using numeric and linguistic data. International Journal of Production Research, 51(10), 2790–2804.
3. Chin, K., Tang, D., Yang, J., Wong, S., & Wang, H. (2009). Assessing new product development project risk by Bayesian network with a systematic probability generation methodology. Expert Systems with Applications, 36(6), 9879–9890.
4. Chiu, C. H., & Choi, T. M. (2016). Supply chain risk analysis with mean-variance models: A technical review. Annals of Operations Research, 240(2), 489–507.
5. Cowell, R. G., Verrall, R. J., & Yoon, Y. K. (2007). Modeling operational risk with Bayesian networks. Journal of Risk and Insurance, 74(4), 795–827.
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