SUPPLY CHAIN OPTIMIZATION: COMPARE SCENARIOS WITH EXPLICIT CONSTRAINTS
Editable planning/verification record — Yenra
Updated: October 2, 2026
Article: https://yenra.com/supply-chain-optimization/

Purpose: Define a bounded optimization problem, check that a proposed solution is feasible, and compare cost/service tradeoffs against a baseline.
Intended reader: Manufacturing and distribution planners comparing inventory, fulfillment and capacity alternatives.

HOW TO USE
Save a working copy. Enter the actual specification, units, assumptions and evidence references in each field. Preserve original observations and record changes. Have the responsible reviewer resolve missing or conflicting requirements before release. Examples below are fictional teaching inputs, not process settings or acceptance standards.

RECORD
1. Decision horizon, products, quantity unit and decision owner:
   ____________________________________________________________

2. Supply by origin and demand by destination in the same unit:
   ____________________________________________________________

3. Allowed routes, route capacities, transit times and service conditions:
   ____________________________________________________________

4. Unit costs, fixed charges and explicitly excluded costs:
   ____________________________________________________________

5. Baseline allocation and feasibility checks:
   ____________________________________________________________

6. Candidate allocation, objective value and solver status if used:
   ____________________________________________________________

7. Demand/capacity disruption and remaining feasible alternatives:
   ____________________________________________________________

8. Operational validation, data revision and approved action:
   ____________________________________________________________


WORKED EXAMPLE AND LIMITS
Fictional one-day allocation: A has 60 pallets, B has 40; X and Y each need 50. Unit route costs are A-X $2, A-Y $6, B-X $5, B-Y $1. Baseline A-X 30, A-Y 30, B-X 20, B-Y 20 costs $360. Allocation A-X 50, A-Y 10, B-X 0, B-Y 40 costs $200, saving $160 (44.4%) in this simplified objective. All 100 pallets are supplied and both demands met. If B falls to 25 pallets with A still 60, only 85 are available, leaving a 15-pallet shortfall; no allocation can meet the original demands under those constraints.

REVIEW
Prepared by / date: ____________________
Reviewed by / date: ____________________
Open issues, responsible owner, due date: ____________________
Approved next action and evidence: ____________________

SOURCE CONTEXT
These primary references support the linked article. Use exact applicable product, contract, and document versions for operational work.
Google OR-Tools' minimum-cost-flow documentation
https://developers.google.com/optimization/flow/mincostflow

Return to the guide: https://yenra.com/supply-chain-optimization/