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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.edu1 - Economic Parameter Design In Laser Micro-Drilling Process
Considering Quality Loss And Rejection Cost
Jianjun Wang, Nanjing University of Science and Technology,
wangjj0818@163.comAn 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.cnFirstly, 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.comWe 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.eduCo-Chair: Stanko Dimitrov, University of Waterloo, Waterloo, ON,
Canada,
sdimitrov@waterloo.ca1 - Modeling Dense Human Centric Iot Networks
Albena Mihovska, Aalborg University,
albena@es.aau.dkThe 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.edu1 - 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.comDue 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