Take advantage of these pre-conference workshops for a hands on demonstration of the latest in Analytics software. All attendees are welcome to join onsite or pre-register through the self-service center. Descriptions Below
JMP, a Division of SAS
Analyzing Multidimensional Data with Ease
Presented by: Kevin Potcner, Kevin.Potcner@jmp.com
Tuesday, April 13, 11:30am-12:10pm
As data becomes more prevalent across almost every industry, practitioners are typically faced with needing to make business decisions based on the analysis of many variables simultaneously. For students to be prepared for today’s job market, they need to become proficient in techniques that are capable of finding patterns and relationships across these large and often messy datasets. The presenter will illustrate how JMP’s interactive environment makes it easy to explore highly dimensional data intuitively using dynamic visualizations and data mining tools.
LINDO Systems, Inc.
Useful Tips on Building Optimization Based Multi-Period Planning Models
Presented by: Linus Schrage
Monday, April 12, 10:45-11:25am
Successful multi-period planning models can have periods that range from 15 minutes (staff scheduling, electricity generator scheduling) to a year (petroleum, mining, and forest planning) with planning horizons ranging from 1 day to 60 years. Learn the keys to designing useful multi-period models, considering such issues as choice of objective function; modeling taxes; uncertainty; inventory features such as backlogging, lost sales, perishable products, compressible inventories such as natural gas; representing interactions among projects, such as precedence constraints, resource constraints; choosing ending and starting conditions; when and how to use steady state models; rolling/sliding schedules and combatting “nervous” plans; choosing period length, planning horizon, starting and ending conditions. Many of these tips will be illustrated with examples in LINGO and What’sBest!.