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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 ...
Improving customer experience by better predicting revised delivery dates
(Massachusetts Institute of Technology, 2019)
Historically, Dell has used a variety of methods to calculate a customer order's initial Estimated Delivery Date (EDD) and a subsequent Revised Delivery Date (RDD) as necessary. Multiple tools arose to meet diverse business ...
Optimization of downstream supply chain product flow based on an integrated cost-to-deliver perspective
(Massachusetts Institute of Technology, 2019)
As Boston Scientific's supply chain becomes more versatile in mixing their supply networks across divisions, there is new opportunity to re-optimize product flow downstream of manufacturing based on unique product attributes ...
Commercial technology transfer optimization for drug substance process development
(Massachusetts Institute of Technology, 2019)
Commercial technology transfer for biopharmaceuticals is the process of transferring process and product knowledge between process development and manufacturing organizations to achieve product realization. This process ...
Performance modeling of human-machine interfaces using machine learning
(Massachusetts Institute of Technology, 2019)
As the popularity of online retail expands, world-class electronic commerce (e-commerce) businesses are increasingly adopting collaborative robotics and Internet of Things (IoT) technologies to enhance fulfillment efficiency ...
Electricity sensors for resource efficiency and supply chain visibility in factories
(Massachusetts Institute of Technology, 2019)
Cost pressures on factories and the growing movement towards sustainability are key motivations behind Li & Fung's (LF) drive towards innovation. Supply chain digitalization through initiatives such as the Internet of ...
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 proposition analysis for medium- and heavy- lift cargo unmanned aircraft systems
(Massachusetts Institute of Technology, 2019)
The majority of current unmanned aircraft system (UAS) research is focusing on small UAS operations at low altitude over rural and underpopulated areas. There is a gap in research about UAS greater than 55 pounds. The first ...
Predicting competitor restructuring using machine learning methods
(Massachusetts Institute of Technology, 2019)
Increasing competition in the defense industry risks contract margin degradation and increases the need for new avenues to margin expansion. One such area of opportunity is take-away bids for under-performing competitor ...
Analysis of robotic systems test methods targeting test resource utilization improvement
(Massachusetts Institute of Technology, 2019)
The robotics industry continues to grow rapidly. More industries are moving towards automation and are looking for the robotics industry to support the industry 4.0 movement. Due to a push by consumers, robotics producers ...