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Reagent usage optimization In high volume diagnostics testing
(Massachusetts Institute of Technology, 2018)
Company X provides healthcare diagnostics testing services. The company competes in the market by providing cost effective, short turn-around-time (TAT) solutions and a large variety of test selections. Reducing operating ...
Value of distribution-level reactive power for combined heat and power systems
(Massachusetts Institute of Technology, 2020)
As the U.S. electric grid continues to experience an increase in the penetration of distributed energy resources (DER), electric utilities are evaluating new approaches for utilizing DER to help cost-effectively maintain ...
Artificial intelligence infrastructure into material attributes insights
(Massachusetts Institute of Technology, 2020)
The development of a biopharmaceutical manufacturing process involves an assessment of all possible sources of variation throughout each of the unit operations in the drive toward six sigma manufacturing. The primary goal ...
Increasing e-commerce distribution center capacity through slotting strategy
(Massachusetts Institute of Technology, 2020)
To meet increasing consumer expectations around delivery times, ecommerce retailers must take orders from 'click' to 'ship' as soon as possible. For retailers with tens of thousands of stock keeping units (SKUs), item ...
Inventory modeling for active pharmaceutical ingredient supply chains
(Massachusetts Institute of Technology, 2020)
Pharmaceutical companies traditionally manufactured drugs in-house, and have only recently been increasingly outsourcing production to contract manufacturing organizations (CMOs). In this work, we use inventory modeling ...
Optimization of delivery promise policy to control peak demand on a fulfillment network
(Massachusetts Institute of Technology, 2019)
Maintaining high on-time delivery performance is a key objective for Amazon.com and an expectation from customers. This objective is particularly challenging to achieve during periods of peak demand, when extremely high ...
Big data analysis interrogating raw material variability and the impact on process performance
(Massachusetts Institute of Technology, 2019)
Within the biopharmaceutical industry, material sciences is a rapidly growing field to continue to ensure reliable production and delivery of medicines. Consequently, there is an on-going need to evaluate and assess new ...
Separating signal from noise : material demand forecasting and network simulation in a multi-echelon supply chain
(Massachusetts Institute of Technology, 2018)
Mismatches between forecasted and actual demand, for construction, repair and maintenance work in a regulated utility, is a growing risk for the performance of the supply chain. High target service levels and high levels ...
Improving order prioritization for the allocation of constrained supply
(Massachusetts Institute of Technology, 2019)
For top wholesale retail companies, the demand for products from US-based customers (wholesale, digital, and direct to consumer) is extremely high. However, the available supply of a product is contingent upon the success ...
Characterization, prediction, and mitigation of Code Help events at Massachusetts General Hospital
(Massachusetts Institute of Technology, 2019)
This thesis suggests a method to characterize congestion alarms triggered by the Emergency Department (ED) at Massachusetts General Hospital, attempts to predict the incidence of these alarms using logistic regression, and ...