Predictive push logistic using runtime monitoring of hidden and visible data
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This report described a general purpose predictive logistics software package based on three primary components: 1. A spreadsheet of ship related orders. 2. A Probabilistic Temporal Finite State-Machine (PTFSM) automatically learned from that data. 3. (Optional) Expert rules written in English. The deliverable tool predicts orders per Ship-ItemType pairs. It has two main prediction modes: a. Predict a probability of an order (for one or more Ship-ItemType pairs) to be required in n weeks. b. Predict the number of weeks required for the probability of an order (for one or more Ship-ItemType pairs) to exceed some given value p.
RightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
NPS Report NumberNPS-CS-18-001
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