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Transmission system overvoltage mitigation through the use of distributed generation (DG) smart inverters
(Massachusetts Institute of Technology, 2020)
The objective of this project is to demonstrate the technical ability and cost-effectiveness of reducing electric transmission system overvoltage violations using distributed generation (DG) smart inverters connected to ...
Assessing sales floor capacity and replenishment strategy
(Massachusetts Institute of Technology, 2020)
Target stores (and the upstream supply chain) have been traditionally designed for a predominantly brick and mortar business, fed by a push supply chain model. With the growing need for omnichannel sales fulαllment, supply ...
Improving predictability of cell culture processes during biologics manufacturing scale-up through hybrid modeling
(Massachusetts Institute of Technology, 2020)
In the biotechnology industry, commercial manufacturing of biologic drugs occurs in large-scale production bioreactors (15,000L), but process development occurs in lab-scale production bioreactors (2-3L). Cell culture ...
Deep Learning Models of Scanner/Vision Tunnel Performance in Sortation Subsystems
(Massachusetts Institute of Technology, 2021-06)
We propose an end-to-end process and tool to deep-dive scanner issues at Amazon’s sorter sites, allowing us to categorize no-reads into operational issues or actual equipment issues.
Our tool sends no-read scanner images ...
An Investigation of Multivariate Process Control for Biomanufacturing
(Massachusetts Institute of Technology, 2021-06)
Biologics manufacturing is primarily managed through single loop univariate or cascaded controls - technology that has not fundamentally changed in decades. Outside of biomanufacturing, process control technologies have ...
Assessing Inventory Replenishment Strategy
(Massachusetts Institute of Technology, 2021-06)
Target’s supply chain strategy centers around delivering on the in-store experience for customers, with stores serving as both brick and mortar retail locations and online fulfillment hubs for store pick-up orders or home ...
The Limits of Analytics During Black Swan Events A Case Study of the Covid-19 Global Pandemic
(Massachusetts Institute of Technology, 2021-06)
During statistically unlikely events (Black Swan events) analytical models fail to provide their expected level of fidelity: their error can increase by several hundred percent. The modern economy is built on such analytical ...
Predictive analysis of installation and operational qualification issues vs. process severity events
(Massachusetts Institute of Technology, 2020)
As the retail industry grows more popular, ABCD, a world-class electronic commerce (e-commerce) business, is increasingly building new Fulfillment Centers (FCs) to support this rapid demand growth. It is integral for ABCD ...
Applied discrete event simulation for root cause analysis and evaluation of corrective process change Efficacy within vaccine manufacturing
(Massachusetts Institute of Technology, 2020)
Digital Transformation of the Biopharmaceutical industry is enabling improved operations through smart manufacturing. One area of interest is the application of advanced data analytics techniques to supplement traditional ...
Deep Learning Image Augmentation using Inpainting with Partial Convolution and GANs
(Massachusetts Institute of Technology, 2021-06)
The 21st century has seen the remarkable transformation of machine vision by deep learning. This has enabled intelligent systems like autonomous vehicles and facial recognition software. However, the success of deep learning ...