Umair Shah, a lecturer in the Department of Management Sciences has adopted an innovative approach to bridge the ‘industry-academe’ divide by piloting the use of the Riipen platform at the University of Waterloo.
This paper investigates the impacts of two environmental policies: pollution abatement subsidy and emission tax, on a three-tier supply chain, where the manufacturer distributes via multiple competitive retailers and invests in a pollution abatement technology in manufacturing. The government pursues social welfare maximization, while the manufacturer and retailers are profit driven. We find that the subsidy policy offers the manufacturer greater incentives to abate pollution and yields higher profits for channel members.
Mark Hancock, Management Sciences
Miguel Nacenta, Management Sciences
Frank Safayeni
Selcuk Onay
A Cross-Dock (CD) is a synchronized unit of a supply chain network, used to sort the goods received from inbound trucks (from a warehouse or factory), and load those products to outbound trucks (for delivery of the goods to retail stores in the supply chain network). Most cross-docks use forklifts, and other manual material handling equipment (MHE) to process the goods on pallets received from inbound trucks. Those pallets are sorted and loaded onto outbound trucks.
In new research by Management Sciences professor Lukasz Golab, it was found that engineering applicants sell themselves differently based on their gender. Males often described how their technical skills and experience matched the profession. In contrast, female applicants want a career that enables them to impact and improve society. These findings could help universities better market themselves to attract more female engineering applicants.
A new study co-authored by Management Sciences Professor Lukasz Golab found that coupling bikeshare with public transit could help increase light rail transit (LRT) ridership.
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The transportation of hazardous materials (hazmat) has drawn significant attention from various stakeholders due to the undesirable impacts on the environment and public health. Focusing on the connection between the traffic and the risk associated with the hazmat shipments, the present research aims to assist the regulator in designing a policy of dual tolls, imposed on both hazmat and non-hazmat shipments, to mitigate the hazmat risk in a road network.
Automatic generation of text is an important topic in natural language processing with applications in tasks such as machine translation and text summarization. In this thesis, we explore the use of deep neural networks for generation of natural language. Specifically, we implement two sequence-to-sequence neural variational models - variational autoencoders (VAE) and variational encoder-decoders (VED).
