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-Item Type pairs) to exceed some given value p.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2018
Accession Number
AD1060144

Entities

People

  • Doron Drusinsky

Organizations

  • Naval Postgraduate School

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Computer Science
  • Directories
  • Geographic Regions
  • Hidden Markov Models
  • Logistics
  • Markov Models
  • Military Research
  • Models
  • Monitoring
  • Navy
  • Probability
  • Ships
  • Skeletal Muscle
  • Uss Chancellorsville
  • Uss Momsen
  • Uss Spruance

Readers

  • Computational Modeling and Simulation
  • Database Systems and Applications
  • Mathematical Modeling and Probability Theory.