Business Commons^™

The Implications Of Self-Driving Cars On Insurance, Amanda Lobello

Honors Projects in Mathematics

Self-driving cars, also known as autonomous vehicles, are being researched and tested by automakers, technology industry leaders, and other institutions. Lawmakers and politicians are discussing the legislation that will affect the fate of such technology. Primary benefits include safety, mobility, free time, less traffic, and green effects. However, there are also obstacles to the implementation of self-driving vehicles including consumer acceptance, legal liability, and cost. With the potential shift in responsibility from driver to automaker, rating factors for insurance may change, weighing more heavily on the model of the car as a factor. The fate of auto insurance is in …

Slides: Adapting To Climate Change: Lessons Learnt From The Australian Water Experience, Will Fargher

Conversation with Water Management Reps from Colorado and Australia: "Adapting to Climate Change: Lessons Learned from Australia" (February 14)

Presenter: Will Fargher, National Water Commission, Australian Government

18 slides [4 have titles only and are missing images]

Agenda: Best Practices For Community And Environmental Protection, University Of Colorado Boulder. Natural Resources Law Center. Intermountain Oil And Gas Bmp Project, Colorado. Oil And Gas Conservation Commission

Best Practices for Community and Environmental Protection (October 14)

The first Intermountain BMP Project workshop, sponsored by the Natural Resources Law Center and the Colorado Oil and Gas Conservation Commission, was held in Rifle, Colorado on October 14, 2009 at the Garfield County Fairground for over 170 participants.

Speakers from Federal, state and local governments, the community, industry and environmental consultants, and conservation groups focused presentations and discussion on a greater understanding of what Best Management Practices (BMPs) are appropriate to the western slope of Colorado and how they are integrated into developments.

Logistics Network Design With Differentiated Delivery Lead Time: A Chemical Industry Case Study, Michelle Lee Fong Cheong, Rohit Bhatnagar, Stephen C. Graves

Research Collection School Of Computing and Information Systems

Most logistics network design models assume exogenous customer demand that is independent of the service time or level. This paper examines the benefits of segmenting demand according to lead-time sensitivity of customers. To capture lead-time sensitivity in the network design model, we use a facility grouping method to ensure that the different demand classes are satisfied on time. In addition, we perform a series of computational experiments to develop a set of managerial insights for the network design decision making process.