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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 ...
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 ...
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 ...
Life-cycle cost modeling and Optimization for capital equipment procurement
(Massachusetts Institute of Technology, 2019)
Composite airplane manufacturing requires the use of autoclaves to cure composite materials in order to create durable, lightweight parts for use in airplanes. The large size, complexity and utility consumption of this ...
Using factory-level digital tools to improve quality and productivity in garment factories
(Massachusetts Institute of Technology, 2019)
The retail landscape is rapidly changing as evolving consumer habits are resulting in smaller batch quantities and shorter lead times, requiring Li & Fung to have a more digitally connected, nimble vendor base. Li & Fung ...
External risk monitoring and inventory sizing in supply chain disruption mitigation
(Massachusetts Institute of Technology, 2019)
As AstraZeneca's product portfolio becomes increasingly complex, its supply chains must evolve in parallel. These supply chains operate in an environment of ever-present external risks such as factory fires, geopolitical ...
Development of a connected platform for industrial equipment monitoring to enable predictive maintenance using supervised machine learning methods
(Massachusetts Institute of Technology, 2019)
SHAPE Technologies is the world leader in ultra high pressure industrial waterjet systems for cutting and cleaning with applications from metal to food. Although SHAPE is the technological leader in this space, SHAPE must ...
Reduction of total production cost through the use of safety stock and process improvements
(Massachusetts Institute of Technology, 2019)
In an ideal production system, supply exactly meets demand. Instantaneous, correct quantities arrive exactly at the right location when needed. However, real-world production systems often have variability- a change in the ...