Monday, December 3, 2018 - 9:00am - 10:00am
Kaveh Khodjasteh (Target Corporation)
Target is a unique retailer with a large and complex supply chain network supporting a diverse set of SKUs that it offers in store across the US and online. Making this network efficient entails solving multiple interconnected optimization problems using techniques in stochastic modeling and optimization, algorithm development and scaling, and artificial intelligence. This talk will give an overview of our approach as well as some examples in inventory management optimization, space planning and transportation, and software design using functional programming.
Tuesday, March 6, 2018 - 9:00am - 10:00am
The use of a priori digital models to build, evaluate and validate designs has become a standard practice in the product creation process. Furthermore, their use in production, operation and service has been increasing in the last years, for example in model predictive control, maintenance or assist systems.
Monday, August 12, 2013 - 11:20am - 11:40am
Vanessa Lopez (IBM)
Thursday, March 14, 2013 - 3:00pm - 3:30pm
Georg Gottwald (University of Sydney)
Whereas diffusion limits of stochastic multi-scale systems have a long and successful history, the case of constructing stochastic parametrizations of chaotic deterministic systems has been much less studied. We present rigorous results of convergence of a chaotic slow-fast system to a stochastic differential equation with multiplicative noise. Furthermore we present rigorous results for chaotic slow-fast maps, occurring as numerical discretizations of continuous time systems.
Monday, June 18, 2012 - 9:20am - 9:40am
Efrossini Tsouchnika (Siemens AG)
Significant uncertainty and risk is associated with operation and maintenance costs for oil drilling. The requirement for service concepts is to guarantee high availability and productivity at low service costs during the service period. Failures of the oil rigs, the number of service technicians, the position of the home base and the availability of spare parts are the relevant parameters influencing the service costs. In addition various strategies combining scheduled and unscheduled maintenance can be considered.
Wednesday, August 6, 2008 - 9:40am - 10:00am
Christopher Bemis (Whitebox Advisors)


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