Informs Annual Meeting 2017

POSTER SESSION

INFORMS Houston – 2017

25 - A Modified Pharmacokinetic/pharmacodynamic Model for the Electrically Activated Silver-titanium Implant System George Tan, Assistant Professor, Texas Tech University, Box 43061, 905 Canton Ave, Lubbock, TX, 79409, United States, george.z.tan@ttu.edu Silver-based systems activated by low intensity direct current continue to be investigated as an alternative antimicrobial for infection prophylaxis and treatment. The objective of this study was to develop a semi-mechanistic pharmacokinetic/pharmacodynamic (PK/PD) model providing the quantitative relationship between the critical system parameters and the degree of antimicrobial efficacy. The model allowed the determination of the effective ranges of current intensity and anode surface area, within which the system has the optimal antimicrobial efficacy. 26 - Impacts of Height Restriction and Relaxation by Sky Factor Focusing on Digestion Floor Area Ratio and Building Height Hiroko Watanabe, Graduate Student, The University of Tokyo, In this paper, we compare the impacts of height restriction and relaxation by sky factor in terms of digestion floor area ratio and building height. By considering the various site shape and building shape, we evaluate how these regulation affects the digestion floor area ratio and building height. The analyses enable us to grasp the situations which a relaxation by sky factor have large advantages. Main results of this paper are as follows: (i) a relaxation by sky factor is advantageous when the site has large frontage; (ii) by utilizing the setback regulation, it is possible to acquire enough floor are ratio when the site of depth becomes large. 27 - New Approach for Failure Mode and Effect Analysis using Linguistic Distribution Assessments and Todim Method Hu-Chen Liu, Shanghai University, Shanghai, China, huchenliu@foxmail.com, Lu Zhen, Jianxin You, Jianxin You, Mengmeng Shan This paper applies linguistic distribution assessments to represent FMEA team members’ risk evaluation information and employs an improved TODIM (an acronym in Portuguese of interactive and multicriteria decision making) method to determine the risk priority of failure modes. Both subjective weights and objective weights of risk factors are taken into account while conducting the risk analysis process. Finally, an empirical case concerning the risk evaluation of a grinding wheel system is presented to demonstrate the practicality and effectiveness of the proposed new FMEA model. 28 - Does Sharing Bicycles Hurt Traditional Public Transportations Ling Gai, Shanghai University, Office 432, School of Managent, Shanghai University, No. 599 Shangda Road, Shanghai, 201444, China, lgai@shu.edu.cn Sharing bicycles with the characteristics of easier access and lower price come into people’s daily life, they are becoming one of the primary traffic modes besides public bus and taxi. In this paper, we study the influences of sharing bicycles on the traditional public transportation system, including the market demand, their pricing policy and net profits. We also consider the case that the government joins in the market by imposing carbon taxes. The ring Hotelling model is applied to fulfill the analysis. 29 - A View From the Top: An Examination of Innovation Idea Selection Factors in Large Organizations, from the Executive Perspective Troy A.Montgomery, University of South Florida, Tampa, FL, United States, tmontgomery@mail.usf.edu Factors impacting the front end of innovation are vital to the overall success of the innovation process and have received considerable attention. However, factors that impact the specific activity of idea selection in large organizations have received less attention. This research utilized the proven methods of grounded theory to address the question: what are the critical factors large organizations consider when selecting innovation ideas? Data from 28 senior level Ce-408, 4-6-1, Komaba, Meguro, Tokyo, 153-8505, Japan, hiroko@iis.u-tokyo.ac.jp, Yudai Honma, Kentaro Honma, Kotaro Imai Yoshiyuki Okuse, Professor, Senshu University, 2-1-1 Higashi Mita, Tama-ward, Kawasaki City Kanagawa Pref, 214-8580, Japan, okuse@senshu-u.jp The purpose of this research is (1) to examine the relationship between price perception and the layout in the advertisement, and (2) to examine the influence of psychological distance on price perception. 31 - Interventional Radiology Resource Modeling and Simulation – A Case Study Michael Prokle, Data Scientist, Philips Research North America, 371 Broadway, Apt 3, Cambridge, MA, 02139-1722, United States, michael.prokle@philips.com, Sebastian Flacke, Christoph Wald, Paul W. McGunigle, Robert San Soucie, Joanie Davis, Ranjith Tellis, Nandini Raghavan, Sandeep Dalal, Eran Simhon, Christopher S. Hall executives provided a view from the top into these critical factors. 30 - Examining the Effect of the Price Display Format in Advertisement on Consumer Perception

We model and simulate an interventional radiology department (IR-Dept) seeking to decrease patient wait times. An IR-Dept’s performance depends on the simultaneous availability of professional resources (e.g. physician, nurse), physical assets (procedure room, equipment), clinical workflow (e.g. prep-procedure- recovery) and its ability to handle inherently stochastic processes (e.g. patient arrivals, procedure times). We show how these aspects can be simulated and validate the model’s output (i.e. patient wait times) against an actual day in a hospital’s IR-Dept. Further, we use this model to show how this IR-Dept can optimize its staffing schedule to improve patient wait times. 32 - Optimizing Transportation Network for SF Express Ziheng Liu, Machine Learning Engineer, SF Technology Co.,Ltd., Software Industry Base 1B, Shenzhen, 518000, China, liuziheng@sf-express.com SF Express is a express services company based in Shenzhen, China. Established in 1993, SF has extended its services to all over Mainland China with more than 13,000 service points and approximately 15,000 operating vehicles. Rapid expansion of the business has posed challenges to SF and necessitated innovations. In order to promote the long-term development of SF Express, we have initiated two nationwide projects - business region partitioning and transit center selection to lower the operating cost of SF’s transportation network. Multiple operations research and machine learning algorithms were utilized to solve the problems. 33 - Forecasting Delivery Amount for SF Express Benyu Wang, SF Technology Co., Ltd., Software Industry Base 1B, Shenzhen, 518000, China, wangbenyu@sf-express.com SF Express is a delivery service company based in Shenzhen,China. Established in 1993, SF has extended its services to all over Mainland China with more than 13,000 service points approximately 15,000 operating vehicles. Rapid expansion of the business has posed challenges to SF and necessitated innovations. In order to make staffing decisions and build work schedules for SF express, we have initiated a forecasting project for different types of delivery services and three different time units. Various time series, deep learning and machine learning models were utilized to solve the problems. 34 - Teaching Operations Research with MATLAB Mary C. Fenelon, Product Marketing Manager, MathWorks, 3 Apple Hill Dr., Natick, MA, 01760-2098, United States, mary.fenelon@mathworks.com, Teresa Hubscher-Younger This presentation shows how to use MATLAB tools for statistics, machine learning, optimization and discrete event simulation in an operations research course. Use Live Scripts and Apps for interactive lectures. Develop optimization models for decisions and design taking advantage of the newest MATLAB features. Develop simulation models to simulate different test scenarios and collect data that you could use for analysis and prediction. Access MATLAB Online through a browser or MATLAB Mobile from your phone. Create and grade assignments with Cody Coursework. 35 - Chance Constrained Programs with Mixture Distributions Sun Wenjie, Mr, Tongji University, Shanghai, China, r13381638770@sina.com, Zhaolin Hu Chance constrained programs (CCP) are important models in stochastic optimization and risk management. In the conventional literature on CCPs, underlying distribution modeling the randomness of the problem is usually assumed to be given in advance. However, in practice, such a distribution needs to be specified by the modelers based on the information available. This is called input modeling. In this paper we consider input modeling in CCPs. We propose to use mixture distributions to fit the data available and to model the randomness. We demonstrate the merits of using mixture distributions and show how to handle the CCPs with mixture distributions under several scenarios. 36 - A Randomized Strategy for Fare Inspection in Santiago Transit System. We implement a randomized strategy for fare inspection in Santiago transit system. We used a model based on bilevel programming, in wich first the leader determines probabilities for inspecting at diferent locations, and then the evaders respond by optimizing their routes given the inspection probabilities and travel times. 37 - School Choice Mechanism in Chile. Natalie Epstein, Universidad de Chile, Fernandez Concha 477, Santiago, Chile, natalie.epsteinr@gmail.com, Jose Correa, Juan Escobar, Carlos Bonet, Bastian Matias Bahamondes, Martin Castillo, Maria Angelica Bosh We describe the main challenges in the recent implementation of a stable matching algorithm for the Chilean primary and secondary school systems. The system successfully run in 2016 in the small region of Magallanes with almost 4000 applications. This year the system scales to about 80.000 applications and in steady state regime there will be about 500.000 applications per year. Carlos Bonet Flores, Universidad de Chile, Republica 779, Santiago, Chile, carlos.bonet@ing.uchile.cl, Jose Correa, Andreas Wiese, Bastian Matias Bahamondes, Fan Wang

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