2011 Wagner Prize Presentations
History and Purpose of the Wagner Prize and Competition
Presented by: Allen Butler, President, Daniel H. Wagner and Associates, Inc., 2 Eaton Street, Suite 500, Hampton, VA 23669, United States of America, allen.butler@va.wagner.com
Product Line Design and Scheduling at Intel
Presenting Author: Karl Kempf, Intel Corporation, Decision Engineering Group, 5000 W. Chandler Blvd., Chandler AZ 85226, United States of America, karl.g.kempf@intel.com
Co-Author: Evan Rash, Intel Corporation, Decision Engineering Group, 2200 Mission College Blvd., Santa Clara CA 95054, United States of America
Abstract: We described a holistic model for the product line design and scheduling problem that incorporates market requirements, design engineering capabilities, manufacturing costs, and temporal dynamics. The key idea is the decomposition of the problem into 1) an outer genetic algorithm layer handling resource constraints, scheduling, and financial optimization and 2) an inner mathematical programming layer optimizing product design as classic set-covering. The resulting algorithm solves problems of larger size and higher complexity than previously possible.
iSchedule to Personalize Learning (Analytics Operations Engineering, Inc. on behalf of New York City Department of Education)
Presenting Author: Adeline Kuo, Analytics Operations Engineering, Inc., Boston MA, United States of America, akuo@nltx.com
Co-Authors: Anjuli Kannan, Analytics Operations Engineering, Inc., Boston MA, United States of America, Gerald van den Berg, Princeton University, Princeton NJ, United States of America)
Abstract: We present a tool to assist schools in the NYC Innovation Zone with generating student-centered course schedules. The core algorithm breaks the scheduling problem into a series of sub problems and applies graph-based randomized heuristics, then outputs a diverse set of schedules among which the school principal can ultimately choose. Our tool reduces the annual work load for each school from 8 weeks to 2 weeks, while affording administrators more choice and flexibility.
To Show or Not To Show: Using User Profiling to Manage Internet Advertisement Campaigns at Chitika
Presenting Author: Vijay Mookerjee, Charles and Nancy Davidson Distinguished Professor, The University of Texas at Dallas, School of Management, 800 West Campbell Road, Richardson TX 75080, United States of America, vijaym@utdallas.edu
Co-Authors: Subodha Kumar, Texas A&M University, Mays Business School, College Station TX 77843, United States of America, subodha@tamu.edu
Radha Mookerjee, University of Texas at Dallas, School of Management, Richardson TX 75080, United States of America, radham@utdallas.edu
Abstract: We study the problem of an internet ad firm (www.chitika.com) that needs to maximize its ad revenue subject to a click-through-rate constraint imposed by a publisher. The solution combines real-time data and decision analytics, namely, predicting the likelihood of a visitor's click event for a given ad, followed by a filter to decide whether or not to show the ad to the visitor. The approach has significantly boosted ad revenue as well as provided a competitive advantage for the company to enter new markets.
Fleet Renewal with Electric Vehicles at La Poste
Presenting Author: Stefan Spinler, Kuehne Foundation Chair in Logistics Management, WHU - Otto Beisheim School of Management, Burgplatz 2, Vallendar D-56179, Germany, Stefan.Spinler@whu.edu
Co-Authors: Paul Kleindorfer, Distinguished Research Professor, INSEAD, Boulevard de Constance, Fontainebleau 77305, France, kleindorfer@wharton.upenn.edu, Andrei Neboian, Kuehne Foundation Endowed Chair in Logistics Management, WHU--Otto Beisheim School of Management, Burgplatz 2, Vallendar 56179, Germany, Andrei.Neboian@whu.edu, Alain Roset, Direction du Courier, Groupe La Poste, 111 Boulevard Brune, Paris 75014, France, alain.roset@laposte.fr
Abstract: We provide a decision model for La Poste on adoption of electric vehicles (EVs) for mail and parcel distribution. Two competing technologies are available, internal combustion vehicles and EVs. Uncertainty about fuel price and EV battery cost is taken into account. We derive the optimal timing of EV adoption and evaluate the total cost of fleet renewal. An optimal strategy for EV adoption and to support negotiations with stakeholders such as energy companies and EV manufacturers is formulated.
Designing Guest Flow and Operations Logistics for the Dolphin Tales (Georgia Tech on behalf of The Georgia Aquarium)
Presenting Author: Eva Lee, Professor & Director, Georgia Insitute of Technology, Atlanta GA 30332, United States of America, eva.lee@gatech.edu
Co-Author: Chien-Hung Chen, Georgia Institute of Technology, School of Industrial and Systems Enginee, Atlanta GA, United States of America, cchen@isye.gatech.edu
Abstract: Effective strategies for managing guest flow are imperative for the successful operations of tourist attractions. The Georgia Aquarium and Georgia Tech team worked together to prepare for the 2011 grand opening of a new exhibit, the Dolphin Tales. The team aimed to explore critical issues including 1) Understand current guest flow and behavior patterns (choice/selection patterns). 2) Predict new exhibit flow and impact to surrounding areas and overall guest flow. 3) Optimize operations and logistics, and resource allocation. 4) Determine optimal scheduling, loading, unloading, and exit strategies. And 5) Investigate smart space usage. In this talk, we present novel modeling and computational advances that offer solutions to the new exhibit operations.
Get on-demand access to Franz Edelman Award competition presentations through the