System owners might cautiously invest capital and
time in detecting invisible entities within the system platform due to the
unexpected complexity of such detection. There is a risk that even experts may be
unable to identify all invisible entities, resulting in hidden objects in many
systems. Integrating two systems with extensive invisibility can lead to an
enormously complex structure and process, complicating system performance. High
complexity in system operations can create a robust closed-loop performance,
where numerous experts attempt to resolve intricate problems to achieve
short-term resource optimization. However, various underlying issues often
reemerge within the system environments over time.
The core problems stem from a shortage of time, a
lack of capital during the case studies phase, and the failure to articulate
proper global variables. Experts may struggle to identify diagnostic test
issues within the system framework. They might believe that operating system
resources facilitate smooth, accelerated growth. However, system operation can
produce hidden problems within internal and external system boundaries due to
low transparency at the early stages of system development.
