Engineered Workflows

Cost Curve Generator

Strategic cost modeling system that generates industry cost curves with scenario controls, enabling leadership to evaluate competitive positioning and market risk.

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Type: Strategic Cost Modeling & Visualization System (Excel-Based)
Industry: Petrochemical – Purified Terephthalic Acid (PTA)


Overview

The Cost Curve Generator is a custom-built Excel system designed to model and visualize industry-wide production cost curves for the global PTA market.

In a cost curve, each vertical bar represents an operating unit. The width of the bar reflects relative production capacity, and the height represents a selected cost metric (e.g., production cost per ton, catalyst cost per ton, or a composite total cost).

Units are sorted from lowest cost (left) to highest cost (right), providing strategic insight into competitiveness and market positioning.


The Challenge

Cost curves require:

  • Large datasets across multiple production regions
  • Complex cost calculations and aggregations
  • Scenario-based filtering (region, year, pricing assumptions)
  • Consistent and trusted data inputs

The prior workflow relied on multiple disconnected spreadsheets, manual copy-paste, and competing versions of “good data.” Results were difficult to validate and trust.


The Solution

I developed a centralized Excel-based system that:

  • Utilized structured Excel Tables for consistent data management
  • Implemented a regional production architecture
  • Enabled filtering by year, pricing structure (regional or global), and production scope
  • Allowed selective inclusion of cost components using configurable “Include” controls
  • Generated automated, dynamically sorted cost curve visualizations

Users could also customize color schemes for individual cost elements to enhance clarity in presentations.


Key Contributions

  • Designed a single source of truth for industry cost data
  • Eliminated manual copy-paste workflows
  • Built configurable scenario modeling capabilities
  • Standardized cost aggregation logic
  • Enforced data ownership and governance

Impact

  • Improved confidence in strategic market analysis
  • Reduced errors caused by spreadsheet version fragmentation
  • Enabled rapid generation of alternative market scenarios
  • Provided leadership with consistent, presentation-ready cost curves

This project demonstrates my ability to combine financial modeling, structured data architecture, and visualization to support strategic decision-making at an industry level.