TECHNICAL METHODOLOGY & VERIFICATION SPECIFICATION
Quayline Pricing Workspace: Mathematical Model, Units & Reproducible Benchmarks
Role & Domain Intent: Marine commercial pricing (Marine-supply offer simulator, not a logistics platform.)
1. GOVERNING FORMULATION
Equations, Variables & Dimensional Rules
Marine-supply offer modelling with volume, discount and margin checks using minor-unit arithmetic.
Net Revenue (cents) = Σ [ Quantity (L) × Unit Price (cents/L) × (10,000 − Discount_bps) / 10,000 ] × (10,000 − Rebate_bps) / 10,000; Margin (%) = (Net Revenue − Total Cost) / Net Revenue × 100
Declared Units: Volume in litres (L); prices and revenue in integer USD minor units (cents); discounts and rebates in basis points (1 bps = 0.01%).
2. REPRODUCIBLE WORKED EXAMPLE
Step-by-Step Numerical Verification
Case 1 (Bulk Marine Offer, 30-day payment terms): 1,000 L at 185 cents/L ($1.85/L) with 0 bps line discount and 0 bps rebate yields Net Revenue = 185,000 USD cents ($1,850.00). Against synthetic supply & port cost of 234,000 USD cents ($2,340.00), Profit = -49,000 USD cents (-$490.00) and Margin = -26.49%, triggering the margin-floor review warning.
| Case ID | Volume (L) | Unit Price (cents) | Discount (bps) | Net Revenue (cents) | Profit (cents) | Margin (%) |
|---|---|---|---|---|---|---|
| Case 1 (Baseline Bulk) | 1,000 | 185 | 0 | 185,000 | -49,000 | -26.49% |
| Case 2 (Volume Tier) | 5,000 | 210 | 150 | 1,034,250 | 114,250 | +11.05% |
| Case 3 (Rebate Contract) | 10,000 | 198 | 200 | 1,940,400 | 190,400 | +9.81% |
3. DATA PROVENANCE & OPERATIONAL BOUNDARIES
Validation Status, Scope Exclusions & Disclaimers
- Data Status: Synthetic / precomputed browser demonstration fixtures generated deterministically from the project engine.
- Operational Limitation: Synthetic frozen snapshots; no ERP, payment, live quotation or contract execution.
- Client-Side Execution: All interactive views, filters, and JSON/CSV exports execute locally in the user's browser with zero external API calls, zero telemetry, and no server-side persistence.
- Author & Principal Investigator: Mohammad Rezwan Khan, PhD (Aalborg University · BESS QA/QC & Power Systems Specialist).