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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 ...
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 ...