| Summary: | Ethicon, a subsidiary of Johnson & Johnson (J&J), is experiencing increased demand within its Oxidized Regenerative Cellulose (ORC) product line. This increase in demand is causing challenges within the current ORC value stream as production dynamics and manufacturing capacities are being stretched to meet growing consumer needs. In addition, the ORC digital data thread is disjointed across multiple enterprise resource planning (ERP) systems and various teams. Consequently, planning activities that support strategic investment decisions are increasingly burdensome and require a significant level of effort. This project analyzes and quantifies the ORC manufacturing process through a statistical lens and applies process flow modeling, descriptive statistics analysis, and optimization techniques to support strategic and tactical
capacity planning. An optimization algorithm is presented that minimizes the revenue shortfall for Ethicon given current ORC manufacturing capacity and product demand profiles. This optimization algorithm is projected to minimize the shortfall in revenue to 11.8% of maximum expected revenue. 1Additionally, this project strives to connect Ethicon’s various channels of information flow within ORC manufacturing and build the digital thread using Microsoft’s PowerBI.
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