1. Distribution Statement A. Approved for public release; distribution is unlimited. Naval Surface Warfare Center Port Hueneme Division David Sonenschein Electronics Engineer Duane Roof Electronics Technician Naval Surface Warfare Center Port Hueneme Division ASNE ISS XI, 21 May 2015 Fleet Support Knowledge Management

2. Distribution Statement A. Approved for public release; distribution is unlimited.

3. Introduction Naval Surface Warfare Center, Port Hueneme Division (NSWC PHD) –Est. 1963 as Naval Ship Missile Systems Engineering Station –In-Service Engineering Agent (ISEA) for several weapon systems –Provide fleet support through systems engineering, logistics, test and evaluation, software engineering, and acquisition Office of Naval Research (ONR) Naval Innovative Science and Engineering (NISE/219) projects –Land Attack Department submitted proposal for Knowledge Management System to augment distance support capabilities

4. Distribution Statement A. Approved for public release; distribution is unlimited. Background NSWC PHD Land Attack Distance Support Center (LADSC) –Helpdesk providing technical assistance and logistics support Pilot program to support Tomahawk Weapon System Investigated several commercial and open source software tools

5. Distribution Statement A. Approved for public release; distribution is unlimited. Purpose Current Status: Documentation and knowledge located within multiple sources Users maintain their own data in a decentralized manner With Knowledge Management System: Information integrated into centralized libraries any user can access Records found more quickly Standardized helpdesk processes

6. Distribution Statement A. Approved for public release; distribution is unlimited.

7. System Selection NSWC PHD investigated three implementations: 1.Integrating with existing helpdesk issues database 2.Expert System 3.Enterprise Search Engine Search engine software was selected

8. Distribution Statement A. Approved for public release; distribution is unlimited. Methods Two subject matter experts (SMEs) began learning the software and assembling indexes of technical information Problem sets of commonly-encountered technical questions were developed Two groups of fleet support personnel were assigned: –Control group: solved problem set using any decentralized information source –Experimental group: solved problem set using only the search engine software and centralized libraries Solutions were scored for time and accuracy

9. Distribution Statement A. Approved for public release; distribution is unlimited. Results 15% more correct responses 29% faster responses Error bars indicate 95% confidence interval

10. Distribution Statement A. Approved for public release; distribution is unlimited.

11. Conclusions Large-scale implementation would improve the quality of support A small team can provide rapid assistance without having to consult senior SMEs for common problems Standardization allows information to be shared more effectively

12. Distribution Statement A. Approved for public release; distribution is unlimited. Future Work Obtain approval to install software and train other departments throughout NSWC PHD Assemble libraries for other programs Develop best practices through collaboration with other departments Approval to install knowledge management software throughout DON

13. Distribution Statement A. Approved for public release; distribution is unlimited. References [1]Engelmore, Robert S. and Feigenbaum, Edward. “Expert Systems and Artificial Intelligence.” May 1993. WTEC. Accessed 27 October 2014.. [2]“What is Enterprise Search?” 2014. AIIM. Accessed 24 October 2014.. [3] Frederiksen, Bruce. “Welcome to Pyke.” 4 March 2010. Slashdot Media. Accessed 21 April 2014.. [4] “Exsys Corvid Expert Systems FAQ.” 2011. Exsys Inc. Accessed 21 April 2014.. [5] “Zoom Search Engine - Feature list.” 2012. Wrensoft. Accessed 22 April 2014.. [6] “Search Engine Studio Features Page.” 2010. Xtreeme GmbH. Accessed 22 April 2014.. [7] “dtSearch Product Line Features.” 2014. dtSearch Corp. Accessed 22 April 2014.. [8] Welch, B. L. “The Significance of the Difference Between Two Means when the Population Variances are Unequal.” Biometrika, Vol. 29 No. 3/4 (Feb. 1938), pp. 350-362. [9]Ruxton, G. D. “The unequal variance t-test is an underused alternative to Student’s t-test and the Mann-Whitney U test.” Behavioral Ecology, Vol. 17 No. 4 (July/August 2006), pp. 688–690. doi:10.1093/beheco/ark016.

14. Distribution Statement A. Approved for public release; distribution is unlimited. Port Hueneme Discussion