2015 Informs Annual Meeting

MB71

INFORMS Philadelphia – 2015

2 - Real-time Airline Schedule Recovery Dejun Hang, Jeppesen, Englewood, CO, United States of America, Darren.Hang@jeppesen.com

2 - From Profile to Surface Monitoring: SPC for Cylindrical Surfaces via Gaussian Processes Bianca Colosimo, Professor, Politecnico MILANO, via La Masa, 1, Milano, 20156, Italy, biancamaria.colosimo@polimi.it, Massimo Pacella Quality of machined products is often related to the final shapes of the manufactured surfaces. This paper presents a novel method for surface monitoring, which combines Gaussian processes to model the manufactured shape and multivariate control charting for monitoring the deviations of the actual surface from the in-control pattern. Regardless of the specific case study, the proposed approach is general and can be extended to deal with different kinds of surfaces or profiles. 3 - Multimode Geometric Profile Monitoring with Temporally Correlated Image Data Abhishek Shrivastava, Assistant Professor, FAMU-FSU College of We propose a new method for monitoring changes in geometrical profiles of objects in a dynamic process; changes in profiles occur in various modes. This work is motivated by the need for monitoring changes in geometrical shape and sizes of nanoparticles during self-assembly process. The proposed multimode geometric profile monitoring method addresses three specific issues - profiling of functional data, monitoring of multimode processes, and monitoring of time- correlated processes. 4 - Statistical Surface Monitoring by Spatial-Structure Modeling Engineering, Dept of Industrial & Manufacturing Eng, Tallahassee, FL, 32310, United States of America, ashrivastava@fsu.edu, Park Chiwoo

In airline daily operations, the schedule is often disrupted by events unforeseen at the planning stage. Recovering the disrupted schedule as fast as possible with good quality is critical to protect revenue. We present how Jeppesen’s Fleet Management System approaches this problem. We will discuss the underlying models and algorithms used to solve the aircraft and crew schedule recovery problems, and also some of the critical support processes. MB71 71-Room 202B, CC Mobility Choices in Urban Transportation Sponsor: TSL/Urban Transportation Sponsored Session Chair: Hai Jiang, Tsinghua University, Dept of Industrial Engineering, Beijing, China, haijiang@tsinghua.edu.cn 1 - Determinants of Private Vehicle use Intensity: Evidence from Disaggregate Household Data in China Hai Jiang, Tsinghua University, Dept of Industrial Engineering, Beijing, China, haijiang@tsinghua.edu.cn, Zhao Zhang The level of congestion is primarily determined by the number of vehicles owned by the residents and their use intensity (that is, annual vehicle miles driven). Existing literature typically conduct the analysis using aggregated macroeconomic variables. In this talk, we use disaggregate household data to identify determinants of private vehicle use intensity in China. We find that gasoline price plays little role in use intensity, which is consistent with results from existing literature using macroeconomic data. We also find that the socioeconomic characteristics of the household has considerable effect in vehicle use intensity. 2 - A Comparison of Mixed Logit and Latent Class Methods for Mode Choice Analysis Yuntao Guo, Purdue University, Lyles School of Civil Engineering, West Lafayette, IN, 47907-2051, United States of America, guo187@purdue.edu, Jian Wang, Srinivas Peeta This study aims to investigate the differences between the mixed logit and the latent class methods in terms of model fit, model insights, predicted travel mode choice, and spatial transferability using a large sample of revealed preference travel mode choice data. The model can help planners to develop effective strategies to foster more sustainable transportation mode choice behaviors by reducing automobile dependency and encouraging the usage of alternative modes of travel. 3 - Traffic Equilibrium and Pricing with Information in a Correlated Network Song Gao, Associate Professor, University of Massachusetts Amherst, Department of Civil and Env. Engineering, 214C Marston Hall130 Nat. Resources Rd, Amherst, MA, 01003, United States of America, sgao@engin.umass.edu, Andre de Palma We study the impacts of correlation and information penetration rate in a network with correlated, random link capacities, in terms of the types of equilibrium solution (corner vs interior for informed and uninformed respectively), the user cost for informed and uninformed, the social cost, and the optimal price for system optimum. MB72 72-Room 203A, CC Journal of Quality Technology (JQT) Invited Session Sponsor: Quality, Statistics and Reliability Sponsored Session Chair: Fugee Tsung, Prof., HKUST, Clear Water Bay, Kowloon, Hong Kong - PRC, season@ust.hk 1 - An Introduction to Statistical Issues and Methods in Metrology Joanne Wendelberger, Los Alamos National Laboratory, Statistical Sciences Group, MS F600, Los Alamos, NM, 87545, United States of America, joanne@lanl.gov, Michael Hamada, Max Morris, Stephen Vardeman, J. Marcus Jobe, Tom Burr, Huaiqing Wu, Leslie Moore Statistical science and metrology provide valuable concepts and approaches for assessing the quality of measured data. Measurement quality impacts the knowledge that can be gained by collecting and analyzing data using statistical methods, and appropriate data collection and analysis quantifies the quality of measurements. An overview of statistical issues and methods in metrology is presented that includes both frequentist and Bayesian methodologies.

Kaibo Wang, Associate Professor, Tsinghua University, Department of Industrial Engineering, Beijing, China, kbwang@tsinghua.edu.cn, Fugee Tsung, Andi Wang

We propose a new chart based on the Gaussian-Kriging model to monitor a two- dimensional (2-D) surface. A parametric model that considers three components of the surface, the global trend, the spatial correlations, and independent errors, is first constructed; then we monitor the process by detecting changes in the estimated parameters. This method is utilized to monitor a wafer-manufacturing process and its performance is compared with that of an existing method through simulation.

MB73 73-Room 203B, CC Game-theoretical Models in Maintenance and Reliability Sponsor: Quality, Statistics and Reliability Sponsored Session

Chair: Maryam Hamidi, PhD Candidate, University of Arizona, 1127 E. James E. Rogers Way, Room 111, P.O. Box 210020, Tucson, AZ, 85721, United States of America, mhamidi@email.arizona.edu 1 - A Cooperative Game of Spare-Parts Systems Ulas Ozen, Ozyegin University, Ozyegin University Cekmekoy Campus, Istanbul, Turkey, ulas.ozen@ozyegin.edu.tr We consider a group of firms that keep spare-parts inventory to maintain their equipments. The firms can cooperate by pooling their spare-parts inventory and reduce costs. One important question is how the benefit of such cooperation should be shared between the participating firms. The firms’ spare-parts investment problem is modeled as a queueing model and we study the associated cooperative game. We show that the resulting game has a non-empty core. Several extensions are studied further. 2 - Non-cooperative Game Theory Analysis in Supply Chain Internal Financing Wanying Shi, Western New England University, 1215 Wilbraham Street, Springfield, MA, 01119, United States of America, wanying.shi@wne.edu, Julie Drzymalski This paper evaluates the effect of wholesale price discount contract on coordinating non-cooperative supply chain financing between a liquid supplier and a capital constrained retailer at a risk-free rate. Optimal policies for retailer and supplier are found. Profits and efficiencies of retailer, supplier and supply chain are compared in both the retailer- and supplier-led Stackelberg games. Results show that internal financing will increase overall profits.

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