|When:||Wednesday Feb. 13, 2013 Noon - 2 PM|
|Place:||The Penn Club, 30 West 44th Street, New York, NY|
|Reservations:|| Call John Waldes at (212) 362-0302 or email him.
|Cost:||$55 for non-members, $45 for
$5 surcharge for walk-in without reservation.
First-time Attendees : $35 membership + $20 lunch
|Topic:||Next Generation of Mathematical Programming Modeling and Solving Tools|
|Abstract:||During the last 40 years Mathematical Programming has increasingly found applications in industry in various areas such as finance, marketing, supply chain, energy, data mining and decision analytics. MP optimization has benefited thousands of companies in the USA and abroad and produces savings of billions of dollars. Ongoing developments in the technology are making MP more widely accepted by businesses worldwide. This talk reviews the current state of the art of MP in view of recent developments.
Historically, modeling mathematical programming problems has relied on either of two methodologies. The first methodology is the creation of the matrix and the import to a mathematical programming solver. The second common methodology is the use of an algebraic modeling language which will produce the corresponding matrix and will manage the solving by passing it to a solver also.
A new methodology which creates both the algebra and the matrix as well as passing it to a third party solver is done using a flowsheet or network based interface. This methodology minimizes the need for domain specific knowledge in terms of writing the sets, parameters, variables and constraints of the model making for easier implementation of MP in practice.
This new technology can be applied to both horizontal and vertical markets such as finance (wealth management), marketing optimization, supply chain planning, refinery planning and scheduling, energy/co-generation optimization, maintenance turnaround programming, production accounting/data reconciliation problems.
The speaker will address questions about how today's companies can implement the next generation of mathematical programming and the benefits they can accrue from it.
Alkis Vazacopoulos is a Business Analytics and Optimization expert.
He also does consulting work with Fortune 500 companies in the areas of finance, marketing optimization, data mining, supply chain, retail optimization, procurement and decision analytics.
Dr. Vazacopoulos is a pioneer in using Parallel Programming for solving Large-Scale Optimization problems for several verticals, particularly in Banking and Retail Industries.Dr Vazacopoulos has an Erdos3 number, has coauthored four major publications with Dr. Egon Balas.
His dissertation paper Guided Local Search for the Jobshop Scheduling paper has more than 300 citations.