Predictive push logistic using runtime monitoring of hidden and visible data
Abstract
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.
Rights
This 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 Number
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