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INFORMS Nashville – 2016

448

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.

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

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).

WC68