This document summarizes a research paper that proposes using a heuristic genetic algorithm to optimize inventory levels in a CONWIP (Constant Work-In-Process) supply chain. The paper begins by introducing CONWIP production control systems and supply chain management. It then discusses using a heuristic approach to iteratively allocate inventory cards across product types in a production line to maximize throughput. The paper proposes extending this CONWIP control approach to model a full supply chain and uses a genetic algorithm to determine optimal inventory levels at each stage. The document provides background on CONWIP and supply chain models, describes the proposed CONWIP supply chain mathematical model and heuristic genetic algorithm approach.