Digital Supply Chain Connectivity and Capacity Analysis for Strategic Production Planning in Biosurgery Oxidized Regenerated Cellulose
Name
Jiang-justinji-mba-mgt-2023-thesis.pdf
Description
Thesis PDF
Size
1.99 MB
Format
Adobe PDF
Checksum (MD5)
7dac23ea734547f10f57607ddc957c18
Author(s)
Jiang, Justin
Advisor(s)
Roemer, Thomas
Frey, Daniel
Date Issued
June 2023
Publisher
Massachusetts Institute of Technology
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Sloan School of Management
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