Decision Making via Binary Decision Diagrams: A Real Case Study
Nowadays logistical and operational systems are being more complex. A quantitative and qualitative analysis in Decision Making (DM) is presented in this paper. Decision Trees (DT) and Binary Decision Diagrams (BDD) are used to find the best solution to the main problem. The BDD method is used to perform the quantification. A real case related to the timeliness on the deliveries is studied in this paper. Importance Measures (IMs) have been considered to rank the basic events of the DT with respect to their contribution to the top event.Thereby, an improvement of the response of a company facing certain problems and the optimization of the company resources is done. Statistical data is used to obtain an approximate measure of the occurrence probability of the events involved.
KeywordsBinary decision diagrams Decision making Decision tree Importance measures
The work reported herewith has been financially supported by the Spanish Ministerio de Economíay Competitividad, under Research Grant No. DPI2012-31579.
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