2015 Informs Annual Meeting

MC73

INFORMS Philadelphia – 2015

4 - Optimizing Space Utilization in Block Stacking Warehouses Shahab Derhami, PhD Student, Auburn University, 3301 Shelby Center, Auburn University, Auburn, Al, 36849, United States of America, sderhami@auburn.edu, Kevin R. Gue, Jeffrey S. Smith Block stacking storage systems are unit load storage systems which are widely used in manufacturing facilities. However, determining the optimal lane depth in this storage system under the finite production rate constraint has not been adequately addressed in the literature. In this research, we propose mathematical models to obtain the optimal lane depth for a single and multiple SKUs where the pallet production rates are finite.

2 - Ride-Matching Problem in Peer-to-Peer Multi-Hop Ridesharing Systems with Stochastic Demand Neda Masoud, University of California, Irvine, CA, United States of America, R. Jayakrishnan We propose a stochastic program with recourse to formulate the peer-to-peer multi-hop ride-matching problem with stochastic demand. We propose an algorithm to efficiently generate a set of scenarios that can be used to formulate and solve the IP equivalence of the stochastic program, and solve it using an L- shaped algorithm. MC72 72-Room 203A, CC Panel Discussion on “Publishing in Quality and Reliability: The Editorís Perspective” Sponsor: Quality, Statistics and Reliability Sponsored Session Chair: Hui Yang, Associate Professor, Pennsylvania State University, 310 Leonhard Building, Industrial and Manufacturing Eng., State College, PA, 16801, United States of America, huy25@psu.edu 1 - Panel Discussion on ìPublishing in Quality and Reliability: The Editor’s Perspectiveî Moderator:Hui Yang, Associate Professor, Pennsylvania State University, 310 Leonhard Building, Industrial and Manufacturing Eng., State College, PA, 16801, United States of America, huy25@psu.edu, Panelists: Trevor Craney, Jianjun Shi, Douglas Montgomery, Peihua Qiu, Peter Parker, Fugee Tsung This panel brings journal editors to share their perspectives and experiences with the audience and answer questions pertaining to publication in Quality, Reliability and Data Sciences. Panelists are: Dr. Jianjun Shi,IIE Transactions;Dr. Fugee Tsung, Journal of Quality Technology;Dr. Peihua Qiu, Technometrics; Dr. Douglas Montgomery, Quality and Reliability International; Dr. Peter Parker, Quality Engineering. MC73 73-Room 203B, CC Modeling and Analysis of Data with Quantitative and Qualitative Variables Sponsor: Quality, Statistics and Reliability Sponsored Session Chair: Xinwei Deng, Assistant Professor, Department of Statistics, Virginia Tech, 211 Hutcheson Hall, Blacksburg, VA, United States of America, xdeng@vt.edu Co-Chair: Ran Jin, Virginia Tech., Grado Department of Industrial and, Systems Engineering, Blacksburg, VA, 24061, United States of America, jran5@vt.edu 1 - Bayesian Hierarchical Models for Quantitative and Qualitative Responses Lulu Kang, Assistant Professor, Illinois Institute of Technology, 10 W 32nd Street, E1-208, Chicago, IL, 60615, United States of America, lkang2@iit.edu, Xinwei Deng In many engineering systems both quantitative and qualitative output measurements are collected. If modeled separately, the important relationship between the two type of responses is ignored. In this paper we propose a Bayesian hierarchical modeling framework to jointly model a continuous and a binary response. Both simulation and real case studies are shown to illustrate the proposed method. 2 - A Latent Process Approach to Modeling and Analysis of Mixed-type Observations Shuyu Chu, Virginia Tech, 1210 University City Blvd, J113, Blacksburg, VA, 24060, United States of America, cshuyu@vt.edu, Xinwei Deng In many applications, mixed-type observations are commonly present. To analyze the data with mixed-type observations, one key challenge is to quantify the hidden association among them. In this work, we proposed a latent process approach to jointly modeling the mixed observations. The proposed method adopts the combined Discrete Particle Filter and Sequential Monte Carlo algorithm for parameter estimation and Bayesian inference.

MC70 70-Room 202A, CC

International Rail Freight Sponsor: Railway Applications Sponsored Session

Chair: Steven Harrod, Associate Professor, Technical University of Denmark, Building 116B, Niels Koppels Allé, Kgs. Lyngby, 2800, Denmark, stehar@transport.dtu.dk 1 - Growth Potential for Rail Freight in Short Distance Markets Steven Harrod, Associate Professor, Technical University of Denmark, Building 116B, Niels Koppels Allé, Kgs. Lyngby, 2800, Denmark, stehar@transport.dtu.dk, Matthias Schett The Scandinavian countries have traditionally been maritime economies, dependent on sea shipping. Recent bridge and tunnel links now connect Scandinavia to the European continent, but a large volume of freight still moves by sea. This presentation discusses the successful short distance intermodal shuttles operating in Scandinavia, and their potential for expansion. Examples from Sweden and Denmark are presented. 2 - Freight Operations from a North American Perspective Freight operations in Europe differ in many respects to those in North America for reasons including regulatory, physical differences, IT systems (especially wagon ordering systems) and interactions with passenger trains. This talk will describe freight operations in several European countries, and also contrast them to North American operations. 3 - An Integrated Model for Locomotive Routing and Fueling Facility Locating Gongyuan Lu, Southwest Jiaotong University, 111 Erhuan Road, Bei yi Duan, Chengdu, China, lugongyuan@qq.com, Xuesong Zhou In this presentation, we will present a 3-dimensional time-space network which adds the resource dimension to the traditional TS network. Via this method, the problem formulation can be simplified tremendously. Meanwhile, the Lagrangian relaxation associated with Dynamic Programming is applied to solve this model efficiently. MC71 71-Room 202B, CC Shared Mobility Analysis and Optimization Sponsor: TSL/Urban Transportation Sponsored Session Chair: Wei Lu, Texas A&M University, CE/TTI Building, Room 601-D, 3136 TAMU, College Station, TX, 77843-3136, United States of America, luwei.blues@gmail.com 1 - Optimizing Ridesharing Services Wei Lu, Texas A&M University, CE/TTI Building, Room 601-D, 3136 TAMU, College Station, TX, 77843-3136, United States of America, luwei.blues@gmail.com, Luca Quadrifoglio Ridesharing services, which aim to bring together travelers with similar itineraries, may provide substantial societal and environmental benefits. We study the most generalized setting of ridesharing problems – given a set of travelers and their origins/destinations, we aim to simultaneously make optimal decisions on driver/rider role assignment, customer partition and route planning, with the goal of minimizing/maximizing the system-wide total vehicle-miles/ridesharing value. Marc Meketon, Oliver Wyman, 1 University Square, Princeton, NJ, 08540, United States of America, Marc.Meketon@oliverwyman.com, Carl Van Dyke

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