Modeling variability for biologics strategic planning
Name
549608721-MIT.pdf
Description
Full printable version
Size
45.29 MB
Format
Adobe PDF
Checksum (MD5)
58c4dd9984a6fb5239942d294aa1eb4b
Author(s)
Conant, Tamara L. (Tamara Lynn)
Advisor(s)
Charles Cooney and Ernst Berndt.
Date Issued
2009
Publisher
Massachusetts Institute of Technology
Abstract
Making strategic decisions about resource capabilities in the uncertain business of drug development is a challenging task. Novartis, a Swiss pharmaceutical company, is expanding from its success in small molecule therapeutics into the attractive area of biologic therapeutics, both monoclonal antibody and microbial forms. While Novartis has experience developing these types of therapeutics, they have not fully-developed the quantity that the Research group expects to source the pipeline with in the next few years. Therefore the Development group needs to grow. Determining the right number and type of scientists and technicians to hire is difficult due to the variability in the portfolio. The long development timelines, low and variable success rates impact how projects progress through the pipeline. A Monte Carlo simulation model forecasts variability and displays a numerical range of projects and headcount requirements expected for several years. This data is essential for project managers, function heads, and operations leaders to develop the five-year strategic plan for biologic development. This model quantifies the uncertainty of input variables to deliver a calculated risk of output variables, which provides useful and important information for making strategic business decisions.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; and, (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; in conjunction with the Leaders for Manufacturing Program at MIT, 2009.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 46).
Subjects
Electrical Engineering and Computer Science.
Sloan School of Management.
Leaders for Manufacturing Program.
MIT Department
Leaders for Manufacturing Program at MIT
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Sloan School of Management
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