Data analytics: the same old next big thing for military OR?

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Authors
  1. Gauthier, Y.
  2. Kaluzny, B.
Corporate Authors
Defence Research and Development Canada, Centre for Operational Research and Analysis, Ottawa ON (CAN)
Abstract
Business intelligence and data analytics are often presented as new or emerging means of increasing efficiency and enabling decision support in defence organisations. Yet, operational research (OR) has been used extensively since World War II to improve decision-making and efficiency in nearly every aspect of defence activities and military operations. What is defence analytics and how does it overlap with military OR? What changes have occured over the last two decades to make data analytics so popular today? How should the military OR community adapt to these changes and position itself for the future? We attempt to answer these questions with the aid of a case study in which we apply machine learning to predict and analyse the responsiveness of the Royal Canadian Navy supply chain. We use the case study to illustrate a common data mining process and identify lessons from it.
Keywords
Data Analytics;Military OR;Military Supply Chain
Report Number
DRDC-RDDC-2018-P117 — External Literature
Date of publication
01 Jul 2018
Number of Pages
19
Reprinted from
35th International Symposium on Military Operational Research (ISMOR) July 2018
DSTKIM No
CA047009
CANDIS No
807528
Format(s):
Electronic Document(PDF)

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