Suboptimization occurs when a system has
discrepancies between global and local variables. This approach involves
modifying local variables through algorithms that extend beyond the global
variables' structure. In cases where local variables struggle to function
according to these algorithms, suboptimization may be employed, especially when
local entities are not equipped to handle complex local incidents or innovation
models.
While suboptimization is often seen as a
cost-effective, time-saving approach that enables a quick turnaround, it has
significant drawbacks. The quality of outcomes tends to be poor, accountability
is diminished, and inconsistencies may arise within the system. Economic
pressures and a focus on return on investment (ROI) frequently push Systems Owners
to implement suboptimization, especially in Non-Biological Systems and project
management processes. Although suboptimization may work for minor components
with minimal interaction with the overall system, it is rarely optimal for
larger, more interconnected platforms.
Observation:
Systems Owners may sometimes achieve complete
optimization through synergistic collaboration with competitors, particularly
when facing complex suboptimization challenges.
Observation:
Total optimization, including complete
consolidation and synchronization with system competitors, might be achievable
when the ethical values of Biological
Systems guide global variables in Non-Biological Systems. This comprehensive
approach would eliminate suboptimization patterns and enhance overall system
integrity. However, such collaboration makes Systems Owners and competitors
vulnerable due to reduced confidentiality, leading many to prefer
suboptimization.
Observation:
Partial consolidation between Systems Owners and
competitors could offer a more reliable method for improving the quality of
optimization processes, creating a balance between collaboration and
confidentiality.
Observation:
In Biological Systems, suboptimization may lead
to system breakdowns, disrupting harmonic balance. Despite inadequacies, Systems
Owners often resort to suboptimization in Non-Biological Systems due to their
perceived cost savings, even though the long-term consequences can harm overall
system harmony.
