Institute For Operations Research And The Management Sciences Research Articles

Forecasting estimated times of arrival of US freight trains

ABSTRACT Due to various reasons, variabilities in freight train travel time may be significant, yielding considerable challenges to forecasting the estimated time of arrival (ETA). Based on historical railway ETA data, this study first analyzes the shared route, then converts the historical data information of a train into multiple time data points, and finally, builds a tree-based model selection framework using the random forest algorithm (RF) and a feature weighted K-nearest neighbor algorithm (FWKNN) to create a phased prediction model. In terms of time, we study the use of different algorithms to predict the ETA of freight trains at various locations on freight train routes. In this study, the proposed method was tested on the dataset of the 2021 The Institute for Operations Research and the Management Sciences (INFORMS) Railway Applications Section (RAS) problem solving competition and won 2nd place.

Special Issue on Nonconvex Portfolio Optimization

The INFORMS OR & Analytics Student Competition is an annual competition organized by the Institute for Operations Research and the Management Sciences (INFORMS) to encourage undergraduate and maste...

Experience sharing: Mathematical Contest in Modelling (MCM)

In January 2016, Coventry University’s sigma Mathematics Support Centre (MSC) funded three students for MCM, a multi-day mathematics competition held annually in the USA. This is organised by the Consortium for Mathematics and Its Applications (COMAP) and sponsored by the Mathematical Association of America (MAA), the Society of Industrial and Applied Mathematics (SIAM) and the Institute for Operations Research and the Management Sciences (INFORMS). In this article the team leader and advisor reflect on their experience.

Special Issue on INFORMS 2015 Annual Meeting

Special Issue on INFORMS 2015 Annual Meeting

Editorial—Marketing Science and Big Data

This article was downloaded by: [128.97.27.20] On: 25 May 2016, At: 09:44 Publisher: Institute for Operations Research and the Management Sciences (INFORMS) INFORMS is located in Maryland, USA Marketing Science Publication details, including instructions for authors and subscription information: http://pubsonline.informs.org Editorial—Marketing Science and Big Data Pradeep Chintagunta, Dominique M. Hanssens, John R. Hauser To cite this article: Pradeep Chintagunta, Dominique M. Hanssens, John R. Hauser (2016) Editorial—Marketing Science and Big Data. Marketing Science 35(3):341-342. http://dx.doi.org/10.1287/mksc.2016.0996 Full terms and conditions of use: http://pubsonline.informs.org/page/terms-and-conditions This article may be used only for the purposes of research, teaching, and/or private study. Commercial use or systematic downloading (by robots or other automatic processes) is prohibited without explicit Publisher approval, unless otherwise noted. For more information, contact permissions@informs.org. The Publisher does not warrant or guarantee the article’s accuracy, completeness, merchantability, fitness for a particular purpose, or non-infringement. Descriptions of, or references to, products or publications, or inclusion of an advertisement in this article, neither constitutes nor implies a guarantee, endorsement, or support of claims made of that product, publication, or service. Copyright © 2016, INFORMS Please scroll down for article—it is on subsequent pages INFORMS is the largest professional society in the world for professionals in the fields of operations research, management science, and analytics. For more information on INFORMS, its publications, membership, or meetings visit http://www.informs.org

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Guest Editorial: Thematic Issue on “Memetic Algorithms: Theory and applications in OR/MS”

The ALIO-INFORMS International Meeting is the joint conference of the biannual Latin-Iberoamerican Conference on Operations Research (CLAIO) organized by the Association of Latin-Iberoamerican Operational Research Societies (ALIO), and the international conference of the Institute for Operations Research and the Management Sciences (INFORMS). The meeting intends to emphasize the importance of the relationship between basic research and practice of OR/MS, and offers a forum for intellectual exchange between participants of all the countries of Latin and North America, as well as from other regions around the world. This volume shows recent advances in Memetic algorithms in the areas of Operations Research (OR) and Management Sciences (MS). The papers in this thematic issue cover part of a large variety of subjects presented at the ALIOINFORMS International meeting held in Buenos Aires, Argentina, in June 2010. The first paper authored by Laura Cardona and Liana Amaya Moreno, presents a two-step model with the objective of reducing cash management costs, an important real-world

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