Assessment and Operationalization of Automation in Final Product Manufacturing
Name
tresansky-atresans-mba-mgt-2022-thesis.pdf
Description
Thesis PDF
Size
7.77 MB
Format
Adobe PDF
Checksum (MD5)
e3159e0ab37e32777842784c81057ecb
Author(s)
Tresansky, Andrew C.
Advisor(s)
Roemer, Thomas
Youcef-Toumi, Kamal
Date Issued
May 2022
Publisher
Massachusetts Institute of Technology
Abstract
Clinical trials final product manufacturing is a high-mix low-volume process that is difficult to automate and consequently highly manual. Furthermore, automation technologies often require substantial capital investments, and it is desirable to evaluate them in-silico prior to major capital outlays. This project used Simio (a modeling software) to develop a model of clinical trial autoinjector labeling and packaging which was used to identify candidate steps for automation. Then prototype solutions were developed for the candidate steps, data collected from the prototypes, and analyzed using the same Simio model to determine displacement or productivity effects. These economic effects were then analyzed using a discounted cash flow/net present value analysis, and further analyzed using real options analysis. Finally, this project aimed to codify the model-identify-prototype-model process used in this project for application to other potential automation projects. This project identified up to $380k of combined positive NPV between two automation projects given certain utilization assumptions.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Sloan School of Management
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