2016 INFORMS Annual Meeting Program

WC68

INFORMS Nashville – 2016

3 - A Multicriteria Decision Model To Support Maintenance Planning In An Electrical Power Distribution Company Adiel Teixeira de Almeida-Filho, Assistant Professor, Universidade Federal de Pernambuco, Recife, 50630971, Brazil, adieltaf@cdsid.org.br, Rodrigo J Ferreira, Ana Paula Cabral Seixas Costa, Adiel Teixeira de Almeida This work presents a decision model built for an electrical power distribution company to aid the decision regarding maintenance planning and establishing the priority amongst maintenance orders to be accomplished. The problem approached is similar to most of the electrical power distribution companies, once there is a complex distribution network with different types of customers leading to consider multiple criteria such as income losses, the probability of service interruption, national regulation criteria, and others. WC68 Mockingbird 4- Omni Design and Modeling for Quality Improvements Sponsored: Quality, Statistics and Reliability Sponsored Session Chair: Hongyue Sun, Virginia Tech, Blacksburg, VA, United States, hongyue@vt.edu 1 - Economic Parameter Design In Laser Micro-Drilling Process Considering Quality Loss And Rejection Cost Jianjun Wang, Nanjing University of Science and Technology, wangjj0818@163.com An intractable issue in the fabrication of laser micro-drilling array is to achieve high product quality with the minimum cost through economic parameter design. A new Bayesian modeling method is developed in this paper. Firstly, Bayesian seemingly unrelated regression (SUR) models are utilized to develop the relationship models between input factors and output responses in the laser micro-drilling process. Secondly, the rejection cost function and the quality loss function are constructed by using simulated responses. Finally, an optimization scheme is implemented to find the optimal economic parameter settings of laser micro-drilling process. 2 - Experimental Design And Parameter Optimization Of Multi-extremum Process Qing’an Cui, Professor, Zhengzhou University, Zhengzhou, 455000, China, cuiqa@zzu.edu.cn Firstly, Least squares support vector regression model is selected as the basic model for multi-extrimum process; Secondly, a sequential experimental design method is proposed considering the significance of Lagrange multipliers of sample points in different sub-domains of the process. Finally, by taking the geometric cluster centers of sample points as initial points, the multi-extremum of the response are found through concurrent SQP optimization. Simulation and empirical studies show that the approach can find multi-extremum of the process and therefore get better optimization of parameters under a relative smaller sample size. 3 - Service Quality Variation And Customers Behavior Intention Jianlan Zhong, Fujian Agriculture and Forestry University, Fuzhou, China, zhongjianlan_29@163.com We investigate the effect of variation in service quality on customers behaviors intention. Variation, stemming from manufacturing industry, refers to difference and deviation. In the service context, it wouldn’t be wise to drive out all variation. Customers themselves are key inputs to the service process. In this interaction process, customers expect how much variation that they introduce is accommodated, not how sternly it is eliminated. Therefore, based on the prospect theory, we postulate a mechanism involving risk aversion and learning, and propose the propositions about the impact of service quality variation (positive and negative variability) on customer behaviors.

1 - Modeling Dense Human Centric Iot Networks Albena Mihovska, Aalborg University, albena@es.aau.dk The current Internet of Things (IoT) concept is characterized with billions of devices interworking through a myriad of technologies for the delivery of smart personalized services and applications. At the center of these is the human user who drives his/her own interconnected cluster. In the future the number of such clusters will grow exponentially, leading to an ultra-dense environment of interconnected devices belonging to the same or different clusters with the human user the center point for the information being sensed, gathered and processed. This concept is known as “human center sensing (HCS)”. We propose a new model for handling the complexity of large-scale and dense HCS connectivity. 2 - Generalized Local Branching: An Application To Capacitated Ring Tree Problems Stefan Voss, Professor, Director Institute of Inf. Systems, University of Hamburg, IWI - Von-Melle-Park 5, Hamburg, 20146, Germany, stefan.voss@uni-hamburg.de, Alessandro Hill Generalized local branching is a heuristic framework based on mathematical programming. In an iterative strategy an existing solution is refined by solving restricted mixed integer programs (MIPs) to optimality. Similar to the corridor method, we introduce generalized local branching cuts using two parameters: the number of considered variables and the number of allowed variable flips. This concept implies an efficient algorithm for the capacitated ring tree problem (CRTP) on top of a branch and cut algorithm for the CRTP. Results for literature instances shows a considerable improvement over existing best results for the CRTP outperforming pure refinement or local branching. 3 - A Satellite Detection And Ranging System For Diurnal Atmospheric Survey Yupo Chan, University of Arkansas - Little Rock, Little Rock, AR, United States, yxchan@ualr.edu, A. S. M. Sarwar Zahan, Po-Hao Adam Huang, Edmond W. Wilson A satellite detection-and-ranging system is proposed. Using a pair of CubeSats flying in formation, the paired system consists of a light Emitter, followed by a Chaser. The combination provides new, non-existing monitoring capabilities. This includes atmospheric cooling on the ecliptic side of an orbit by using a reference provided by the Emitter, with a spectrometer hosted on the Chaser. Being a 1- unit CubeSat, the Emitter will follow a regular orbit, while the 2-unit Chaser will experience drag, which can throw the it out of orbit. The tracking algorithm, consisting of signal- and image-processing routines, helps to monitor the orbit of the Chaser and identify its location at all time. WC70 Acoustic- Omni Transportation, Ops III Contributed Session Chair: Luis J. Novoa, The George Washington University, 2201 G Street, NW, Funger Hall, Washington, DC, 20052, United States, ljnovoa@gwu.edu 1 - Beating Reservation Anxiety: Flexible Online Location-based Service Reservation Xin Wang, University of Wisconsin-Madison, 1513 University Avenue, 3258 Mechanical Engineering Bldg, Madison, WI, 53706, United States, xin.wang@wisc.edu, Xiaotian Wang A flexible online location-based service reservation system, like those for public vehicle parking or charging, is established. We focus on addressing the “reservation anxiety”, where customer late arrivals are priced and service slots are assigned within a neighborhood at a discount rather than to a specific location. Jointly considering both time and location flexibilities at reservation, a game- theoretic model under continuum approximation is developed to analyze the system equilibrium and provide managerial insights. 2 - Monthly-card Management Policy For Office Building Parking Under Different Commuting Traffic Characteristics In Metropolises Of China Kaifeng Ji, Phd Candidate, Tsinghua University, Graduate School in Shenzhen of Tsinghua University, Shenzhen, 518000, China, 359067080@qq.com Due to the limited parking spaces and fast-growing vehicle trips in metropolises of China, the intensive management of parking is necessary for office buildings, especially under the traffic restriction policy such as Beijing. In this paper, using license data collected in Beijing and Shenzhen from parking companies, we identify the characteristics of parking vehicles under different traffic restriction policies. Two models are built to analyze the maximum benefit and the maximum capacity of monthly-cards for one garage under different traffic restriction policies and dynamic monthly-card management policy (monthly-cards for free parking but not appointed to one specific parking space).

WC69 Old Hickory- Omni Telecommunications Modeling Sponsored: Telecommunications Sponsored Session

Chair: Michael R. Bartolacci, Associate Professor of IST, Penn State University - Berks, 2080 Tulpehocken Road, Reading, PA, 19610, United States, mrb24@psu.edu Co-Chair: Stanko Dimitrov, University of Waterloo, Waterloo, ON, Canada, sdimitrov@waterloo.ca

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