Military Communications and Information Technology: A Trusted ...
Military Communications and Information Technology: A Trusted ... Military Communications and Information Technology: A Trusted ...
330 Military Communications and Information Technology... [5] Join Warfighting Science and Technology Plan, February 2000, Department of Defence, http://www.wslfweb.org/docs/dstp2000/jwstppdf/00-title.pdf [6] Join Warfighting Science and Technology Plan, 1997, Deparment Of Defence, http:// www.fas.org/spp/military/docops/defense/97_jwstp/jw4c.htm [7] V. de Sortis, NFFI Service Interoperability Profile 3 (SIP3) Technical Specifications (VERSION 1.1.5). [8] STANAG 5527 NATO Friendly Force Information Standard for Interoperability of Force Tracking Systems. [9] STANAG 5516, Edition 6, TACTICAL DATA EXCHANGE – Link 16. [10] “Departament of Defence Interface Standard for the Joint Range Extension Application Protocol (JREAP)” MIL-STD 3011. [11] “Means for operational data exchange in JASMINE System”, Military Communications and Information Systems Conference MCC 2009, 29-30 September 2009, Prague, Czech Republic. [12] T.Z. Kosowski, Ł. Apiecionek, “JASMINE system: network centric concept and practical solution”, Military Communications and Information Systems Conference MCC 2009, 29-30 September 2009, Prague, Czech Republic. [13] W. Zawadzki, „JASMIN wkracza do armii”, Nowa Technika Wojskowa nr 5/2007. [14] H. Kruszynski, „Zastosowanie systemu JASMIN”, Nowa Technika Wojskowa nr 9/2006. [15] H. Kruszynski, L. Apiecionek, M. Dziamski, „JASMIN w warsztatach Combined Endeavor 2008”, RAPORT nr 06/2008. [16] Multilateral Interoperability Programme, The Joint C3 Information Exchange Data Model (JC3IEDM Main), 2007. [17] „Sposoby wymiany danych operacyjnych w systemie JAŚMIN”, XVII Konferencja Naukowa Automatyzacji Dowodzenia w Gdyni, czerwiec 2009 r. [18] „Practical Solution”, Nowa Technika Wojskowa – Future Soldier, 2010 r. [19] „Command and Control Portal as a unified way of collaboration of different staff cells in army headquarters on operational level as well as cooperation with external civil organisations”, proceedings of the Military Communications and Information Systems Conference MCC 2011, 17-18 October 2011, Amsterdam, Netherlands, p. 53-68. [20] „Reliable and effective management of hardware and software in battlefield environment”, proceedings of the Military Communications and Information Systems Conference MCC 2011, 17-18 October 2011, Amsterdam, Netherlands, p. 169-180. [21] “Portal systemu wspomagania dowodzenia, jako sposób współpracy różnych komórek sztabu szczebla operacyjnego oraz kooperacji z zewnętrznymi organizacjami cywilnymi”, XIX Konferencja Naukowa „Automatyzacji Dowodzenia”, 2011 r., współautor. [22] D.J. Bryant, D.G. Smith, “Impact of Uncertain Cues on Combat Identification Judgments”, Defence R&D Canada, Technical Report. [23] Joint Center For Lessons Learned, Rethinking Combat Identification, vol. IV, Issue 3, June 2002. [24] Combat Identification Systems, Strengthened Management Efforts Needed to Ensure Required Capabilities, United States General Accounting Office, June 2001. [25] “Technologia Web Portali we wspomaganiu pracy komórek sztabu z uwzględnieniem procesu tworzenia obrazu z rozpoznania”, Seminarium w AON, 2011 r.
Managing Lessons Learnt from Daily Missions – Methodology and Tool Witold Hołubowicz, Wojciech Dymowski, Tomasz Springer ITTI Ltd., Adam Mickiewicz University, Poznań, Poland, {holub, wojciech.dymowski, tomasz.springer}@itti.com.pl Abstract: The paper is aimed to present an approach to managing military experience and the software tool dedicated for this purpose. This approach (SIMS Lesson Learnt methodology) and the tool (SIMS Lesson Learnt tool) are some of the results of the European Defence Agency (EDA) funded SIMS project, which-focus on force protection issues. The developed methodology is based on a recurrent and continuous lesson learnt process where phases of acquiring, analyzing and applying experience can be distinguished. In order to improve dissemination of knowledge, each phase off the LL process is reached as soon as possible. Additionally, new information resulting from each phase is available for the widest possible range of all those concerned. To support lesson learnt process activities, a dedicated IT tool – SIMS LL – has been developed. The SIMS LL tool uses various methods of interactive, visual representation of the lesson learnt related data to enhance the operator cognition. The analysis of the data in terms of the SIMS LL tool refers mostly to identification of correlations between particular data entities (e.g. events, human terrain information) and drawing conclusions from such correlations. As a result of the analysis, a lesson learnt related data entity with relevant correlations is being created (e.g. an observation with correlated events, lessons identified). In the end a recommendation which is a key product of analysing lesson learnt related data can be defined. Such recommendations may be a proposition of a certain change in regulations, the system of training and doctrines, based on the analysed experiences and affecting directly safety and effectiveness of future military missions. Keywords: lesson learnt, military, experience, daily mission, SIMS, EDA, PDT, methodology, process, DOTMPLF, recommendation, observation I. Introduction Conducting recent military operations (e.g. Desert Storm, Iraq Freedom, Enduring Freedom) has emphasized the need for fast acquiring, analyzing and disseminating new information from the battlefield. This includes also soldiers experience, which is the most valuable source of information especially in terms of dynamically planned daily missions (e.g. convoys, patrols) in an asymmetrical environment. Therefore, as a part of EDA SIMS project, a structured approach to managing military experience and a dedicated for this purpose, have been developed.
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Managing Lessons Learnt from Daily Missions<br />
– Methodology <strong>and</strong> Tool<br />
Witold Hołubowicz, Wojciech Dymowski, Tomasz Springer<br />
ITTI Ltd., Adam Mickiewicz University, Poznań, Pol<strong>and</strong>,<br />
{holub, wojciech.dymowski, tomasz.springer}@itti.com.pl<br />
Abstract: The paper is aimed to present an approach to managing military experience <strong>and</strong> the software<br />
tool dedicated for this purpose. This approach (SIMS Lesson Learnt methodology) <strong>and</strong><br />
the tool (SIMS Lesson Learnt tool) are some of the results of the European Defence Agency (EDA)<br />
funded SIMS project, which-focus on force protection issues. The developed methodology is based<br />
on a recurrent <strong>and</strong> continuous lesson learnt process where phases of acquiring, analyzing <strong>and</strong><br />
applying experience can be distinguished. In order to improve dissemination of knowledge, each<br />
phase off the LL process is reached as soon as possible. Additionally, new information resulting<br />
from each phase is available for the widest possible range of all those concerned. To support lesson<br />
learnt process activities, a dedicated IT tool – SIMS LL – has been developed. The SIMS LL tool uses<br />
various methods of interactive, visual representation of the lesson learnt related data to enhance<br />
the operator cognition. The analysis of the data in terms of the SIMS LL tool refers mostly to identification<br />
of correlations between particular data entities (e.g. events, human terrain information)<br />
<strong>and</strong> drawing conclusions from such correlations. As a result of the analysis, a lesson learnt related<br />
data entity with relevant correlations is being created (e.g. an observation with correlated events,<br />
lessons identified). In the end a recommendation which is a key product of analysing lesson learnt<br />
related data can be defined. Such recommendations may be a proposition of a certain change in regulations,<br />
the system of training <strong>and</strong> doctrines, based on the analysed experiences <strong>and</strong> affecting<br />
directly safety <strong>and</strong> effectiveness of future military missions.<br />
Keywords: lesson learnt, military, experience, daily mission, SIMS, EDA, PDT, methodology, process,<br />
DOTMPLF, recommendation, observation<br />
I. Introduction<br />
Conducting recent military operations (e.g. Desert Storm, Iraq Freedom,<br />
Enduring Freedom) has emphasized the need for fast acquiring, analyzing <strong>and</strong><br />
disseminating new information from the battlefield. This includes also soldiers<br />
experience, which is the most valuable source of information especially in terms<br />
of dynamically planned daily missions (e.g. convoys, patrols) in an asymmetrical<br />
environment. Therefore, as a part of EDA SIMS project, a structured approach<br />
to managing military experience <strong>and</strong> a dedicated for this purpose, have been<br />
developed.