Military Communications and Information Technology: A Trusted ...

340 Military Communications and Information Technology...
• at the recommendation stage to develop recommendations based on the collected
observations and define the entity responsible for the approval or
implementation of recommendations,
• after preparing the recommendations the tool allows to browse them, and
to easily find and view the observations and events (e.g. Incidents) that
originated them; this feature can be used for example to update the training
for future changes or as a support for introducing changes in procedures
and doctrines.
The following are considered potential uses of the developed methods and
SIMS LL tool by polish military lesson learnt dedicated:
• to develop and maintain LL training adapted to specific needs of polish
military.
✓ SIMS LL methods can be used to carry out the theoretical part of the training
for officers, who may have the role of a LL officer, and who executes
selected tasks from LL area at different stages of the LL process.
✓ to use the LL tool to conduct LL workshops involving completing
the information, their analysis and preparation.
✓ to prepare the training which is similar to the course “Lessons Learnt
Staff Officers Course” like e.g. training as an introduction to that course,
or courses extending under specific local conditions.
• to introduce modifications in the debriefing process or Post Action Review
aiming at improving the information collection system to make a better
use of the experience (LL)
• to collect experience from operations and missions conducted by polish
military and analyse them by combining different types of information.
• to make use of the observation database as a basis for preparing recommendations,
procedural and doctrinal changes.
The implementation of the features mentioned above require to update the tool
to the appropriate technological level in order to allow a stable operation in the real
world, or operational training.
VI. The use of LL tool
The SIMS LL tool GUI consist of three main sections:
• toolbar, where all the basic tools for managing lesson learnt data are placed.
Additional plug-ins (e.g. analytical tools) as well as settings are also available
in this section;
• LL related data, where input (e.g. incidents, human terrain information)
and output (e.g. observations, recommendations) data for the LL process
are available for browsing and filtering. Data are organised in hierarchical
structures and can be stored in the remote or local databases;