About the Company:
to make a difference in the lives of people globally through our innovative medicines, vaccines, and animal health products. We are committed to being the premier, research-intensive biopharmaceutical company and are dedicated to providing leading innovations and solutions for today and the future.
MSD off campus drive Details:
|Experience Needed:||0-0 yrs|
|Salary:||Best In Industry|
Our Manufacturing & Supply Division is committed to be the most trusted supplier of bio-pharmaceuticals worldwide. Our facilities, along with our external contractors, suppliers, and partners, create an interdependent global manufacturing network that’s committed to delivering a high quality, reliable supply to customers and patients on time, every time.
The goal of this intern project is to further improve the TALE lead time analysis method, in order to fully automatically analyze the actual lead time data in TALE, compare the actual lead time with lead time target using statistical methods and suggest new lead time target based on analysis.
Figure 1 Workflow of current lead time analysis method
The workflow of current lead time analysis method is shown in Figure 1, where most of the steps have been automatized. However, the step ‘Grouping Definition’ still needs manual inputs or operations from supply chain planners. Also, when the lead time data set is small, the suggested new target calculated by currently used statistical methods will not be accurate enough. Thus, further improvement can be investigated as following (Topics of Intern Project)
Topic 1 Automatic Grouping Criteria Suggestion (1 Student)
Develop a method to automatically suggest grouping criteria for the users, based on the inputs from supply chain experts and historical lead time data. The outcome could be a method to make recommendation and/or a lookup table for all products.
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