Mapd
Abstract/Contents
- Abstract
The following document is final documentation for the ME 310 Project in the academic year 2020-2021 with Takeda Pharmaceuticals. This project was a collaboration between students from Stanford University and the Hasso Platner Institute in Potsdam Germany. Students were tasked with designing a control tower to close communication gaps and silos in the plasma operational unit. Students developed a full-stack web application called Mapd.
Mapd, integrates multiple data sources to show information about live events in the factory, historical data, and simulations of possible solutions based on how problems have been solved in the past. The information is presented in a simple and standardized way to every employee. This creates a common foundation for communicating together and quickly thinking through delays and how to solve them quickly and effectively in order to deliver enough product to patients on time.
Our vision is to enable every Takeda employee to quickly track down problems within the
supply chain and make informed decisions based on real-time data. This allows sites to
quickly return to their production schedule and continue creating the life-saving drugs that millions of patients need.
Description
Type of resource | text |
---|---|
Date created | 2021 |
Creators/Contributors
Author | Reed, Kelsey |
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Author | Arévalo, César |
Author | Tallman, Avery |
Author | MacAulay, Jennifer |
Author | Elsewify, Omar |
Author | Meier, Dominik |
Author | Wendt, Leo |
Author | Justen, David |
Sponsor | Takeda Pharmaceuticals |
Sponsor | Oberhummer, Reiko Barbara |
Sponsor | Engler, Marc |
Advisor | Cutkosky , Mark |
Advisor | Toye, George |
Subjects
Subject | Department of Mechanical Engineering |
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Subject | Design Methodology |
Subject | supply chain |
Subject | pharmaceutical manufacturing |
Subject | data visualization |
Subject | control tower |
Genre | Student project report |
Bibliographic information
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
Preferred citation
- Preferred Citation
- Reed, Kelsey; Arévalo, César; Tallman, Avery; MacAulay, Jennifer; Elsewify, Omar; Meier, Dominik; Wendt, Leo; Justen, David. (2021). Mapd. Stanford Digital Repository. Available at: https://purl.stanford.edu/tf608vx1486
Collection
ME310 Project Based Engineering Design
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- Contact
- engreference@stanford.edu
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