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Inventory planning for low demand items in online retailing
(Massachusetts Institute of Technology, 2007)
A large online retailer strategically stocks inventory for SKUs with low demand. The motivations are to provide a wide range of selections and faster customer fulfillment service. We assume the online retailer has the ...
Multiple part type decomposition method in manufacturing processing line
(Massachusetts Institute of Technology, 2001)
Multi-modal, multi-period, multi-commodity transportation : models and algorithms
(Massachusetts Institute of Technology, 2014)
In this paper we present a mixed integer optimization framework for modeling the shipment of goods between origin destination (O-D) pairs by vehicles of different types over a time-space network. The output of the model ...
Price incentives for online retailers using social media
(Massachusetts Institute of Technology, 2015)
In the era of Big Data, online retailers have access to a large amount of data about their customers. This data can include demographic information, shopping carts, transactions and browsing history. In the last decade, ...
Revenue optimization for a hotel property with different market segments : demand prediction, price selection and capacity allocation
(Massachusetts Institute of Technology, 2017)
We present our work with a hotel company as an example of how machine learning techniques can be used to improve the demand predictions of a hotel property, as well as its pricing and capacity allocation decisions. First, ...
Optimizing inbound freight mode decisions
(Massachusetts Institute of Technology, 2020)
Retail manufacturers often expedite inbound freight shipments from contract manufacturing bases to their distribution centers in destination markets at high cost to improve service levels to their wholesale partners and ...
Leveraging machine learning to solve The vehicle Routing Problem with Time Windows
(Massachusetts Institute of Technology, 2020)
The Vehicle Routing Problem with Time Windows (VRPTW) has been widely studied in the Operations Research (OR) literature given its increasingly widespread applications, ranging from school bus scheduling to packages delivery. ...
Internet of Things and anomaly detection for the iron ore mining industry
(Massachusetts Institute of Technology, 2016)
In the context of a world flooded with data, the Internet of Things (IoT) is exploding. This thesis considers the problem of applying IoT technology to the reduction of costs in the iron ore mining industry, to compensate ...
Think global, act local when estimating a sparse precision matrix
(Massachusetts Institute of Technology, 2016)
Substantial progress has been made in the estimation of sparse high dimensional precision matrices from scant datasets. This is important because precision matrices underpin common tasks such as regression, discriminant ...
Route optimization under uncertainty for Unmanned Underwater Vehicles
(Massachusetts Institute of Technology, 2011)
As our technology continues to increase, our military wishes to reduce the risk service members endure by using unmanned vehicles. These unmanned vehicles will, over time, become more independent and trustworthy in our ...