The Bayesian Model for Cruise Shipbuilding: a Process for Production Efficiency and Organization, Appendix 2

Abstract

The report includes the conditional probability tables, i.e., the model parameters, which were specified by experts using judgment for a Bayesian Network model of a cruise shipbuilding process. The report is Appendix 2 of the dissertation “The Bayesian Model for Cruise Shipbuilding: a Process for Production Efficiency and Organization” (Sisko Hellgren, Aalto University publication series DD-240/2016). To specify the probability distribution of a Bayesian Network, expert judgment is needed. In this model there are 85 variables which have two states. The values are seen in this report showing the extent of the elicitation work.