charles/supply
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Add pareto and others

Browse Source
This commit is contained in:
charles
2026-05-19 08:38:31 -07:00
parent 7b4b2cc946
commit bc4f85518f
3 changed files with 22 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files
book/ch02_theories.md
+5
View File
@@ -42,3 +42,8 @@ These theories provide the academic and strategic foundation for SCM, offering f
## Contingency Theory
- **General Purpose:** Suggests there is no single "best way" to manage a supply chain; the optimal approach depends on the internal and external situation.
- **Application to Virtual Resources:** Justifies different orchestration strategies depending on the workload volatility (e.g., steady-state enterprise apps vs. highly volatile viral content).
## Pareto Optimality
- **General Purpose:** A state in multi-objective optimization where it is impossible to make any one objective better without making at least one other objective worse. A solution is **Pareto optimal** if there is no other feasible solution that "dominates" it (i.e., is better in at least one objective and no worse in any other).
- **The Pareto Frontier:** The set of all Pareto optimal solutions. Visually, this represents the boundary of the attainable region; any point on this frontier represents a fundamental trade-off where improving one metric requires a degradation in another.
- **Application to Virtual Resources:** Essential for managing conflicting goals in cloud environments, such as balancing the need for maximum hardware density (to reduce cost) against the need for strict performance isolation (to ensure SLAs).