Informs 2015

427 / 552

INFORMS Philadelphia – 2015
425
2 - Stochastic Modeling and Reliability Analysis of Corroded
Pipelines for Inspection Planning
Seyedeh Azadeh Miran, Research Assistant Graduate Student,
University of Akron, 302 East Buchtel Avenue, ASEC405, akron,
OH, 44325, United States of America,
Qindan Huang
Time-dependent reliability analysis of inspected defects is performed using first
order reliability method based on two failure modes (small and large leaks). Time-
dependent corrosion growth models are considered for the defect depth and
length where growth model unknown parameters are determined using Bayesian
updating through MCMC. Finally, inspection planning is proposed.
3 - Information Source Selection for Multimode Process Monitoring
Marcelo Bacher, PhD Candidate, Tel Aviv University, Ramat Aviv,
Tel Aviv, Israel, , Irad Ben-Gal
We present an SPC framework using Information Theoretic measurements for
monitoring multi-mode systems. We aim at directly learning the data
dependencies representing the modes without relying on prior information. We
assume dependence among features and that the data gathered from multiple
sensors generate overlapping clusters that are not necessarily Gaussian-like
distributed. Comparative results with real data validate the potential use of the
proposed method for monitoring such systems.
4 - Battery Life Estimation Based on Statistical Model Combined with
Physical Degradation Behaviors
Shufeng LI, University of Houston, Room NT0403, 4401 Wheeler,
Houston, TX, 77004, United States of America,
Qianmei Feng, Yin Shu
Remaining useful life prediction methods have been widely applied for lithium
ion batteries in the electronics and automotive industries. Statistical models based
on physical degradation behaviors of lithium ion batteries have not been well
established. This paper develops a statistical method to model the battery
performance degradation that is induced by aging mechanism. The life
distribution is estimated and case study shows the effectiveness of the proposed
method.
WB76
76-Room 204C, CC
Simulation II
Contributed Session
Chair: Bharat Bhole, RIT, 92 Lomb Memorial Drive, Rochester, NY,
14623, United States of America,
1 - Investigation of the Existence of AFIB Sources in Left Atria of
Heart using Intracardiac Electrogram
Sharmin Mithy, Graduate Research Assistant, University of
South Florida, 4202 E Fowler Ave, Tampa, FL, 33620,
United States of America,
This paper concentrates on a way to investigate the existence of AF sources by
analyzing Intracardiac Electrogram. Intracardiac Electrogram has been recorded
during catheter ablation surgeries of five patients and can be characterized by
identifying different properties; i.e. cycle length, interspike interval distance,
amplitude. In this paper different features has been extracted from intracardiac
electrogram from different sets of patients and later analyzed to identify different
patterns.
2 - A System Dynamics Approach to Study the Barriers to Primary
Care Access for Socioeconomically Disadvantaged Women
Fatima Irshaidat, Binghamton University, 25 Narwood St,
Johnson City, NY, 13790, United States of America,
Socioeconomically disadvantaged women have more capabilities to visit PCP after
Medicaid Expansion. This study evaluates whether Medicaid expansion is actually
improving access of care for these women in the poor neighborhoods & identify
the actual barriers preventing those women from utilizing primary care. A
systems dynamics model is created using Vensim to capture causes behind access
barriers to PCP. The case of breast and cervical cancer screenings is specifically
studied.
3 - Using Multi-agent-based Simulation to Model Pedestrians
Behavior and Interactions
Lindsay Alvarez, Full Professor, Universidad Distrital, Carrera 7
No. 40B - 53 Piso 5, Ingenieria Industrial, Bogota, Colombia,
, Martha Centeno, Felipe Pacheco,
Andrés Sánchez
We present a methodology to use Multi-Agent Based simulation as a tool to
model pedestrians as independently thinking individuals, who move at their own
speed, and may or may not abide by spatial restrictions. We have conducted
fieldwork in Bogot·, developed a methodology, and built simulation models.
Results indicate that these type of simulation models are effective to model
pedestrian’s behavior, so that it can be included in the design and construction of
pedestrian’s tunnels and crosswalks.
4 - A Simulation Approach for Trading Natural Gas Futures
Amine Kamali, The University of Oklahoma, 202 W. Boyd St.,
Room 436, Norman, OK, 73019, United States of America,
, Hank Grant
This research focuses on developing a simulation framework that models the
impact of speed of high-frequency traders trading natural gas futures contracts.
Different scenarios are simulated and the data collected are compared to historical
data. In this setting, faster traders are more profitable.
5 - The Effect of Self-selection Bias on the Effectiveness of
Online Reviews
Bharat Bhole, RIT, 92 Lomb Memorial Drive, Rochester, NY,
14623, United States of America, ,
Brid Hanna
It has been shown that online reviews suffer from self-selection bias. We
investigate whether this bias adversely affects the effectiveness of online reviews.
Effectiveness is measured by the market share of the higher quality product in a
model with two products. We show that bias can improve the effectiveness of
reviews. Further, in situations where it fails to do so, it is mostly when the bias is
extreme to the extent that appears unlikely to be the case in reality.
WB77
77-Room 300, CC
Supply Chain Closed Loop II
Contributed Session
Chair: Yertai Tanai, Kent State University, Department of Management
& Information S, Kent State University, Kent, OH, 44242-0001,
United States of America,
1 - Quality and Information Coordination for False Failure Returns
Eylem Koca, Assistant Professor, Ozyegin University, Nisantepe
District, Orman Street, Cekmekoy, Istanbul, 34794, Turkey,
A significant portion of consumer returns are false failures with no defects. We
consider a supply chain setting with one manufacturer, who decides on the design
quality, and one retailer, who decides on informational efforts, both of which
affect the false failure returns, and we study supply chain coordination avenues
under various scenarios regarding the re-valuation of such returns.
2 - Optimal Incentive and Production Decisions for an Integrated-
forward Reverse Supply Chain
Pankaj Dutta, Associate Professor, IITBombay,
SJM School of Management, Powai, Mumbai, 400076, India,
Debabrata Das
This paper proposes an optimization model for an integrated forward-reverse
supply chain to determine optimum incentive amount that needs to be offered to
consumers on returning back a used product. Further, proposed model decides
optimum manufacturing, remanufacturing and disposal quantity so that
legislation criterion of minimum collection is fulfilled and overall profit of
integrated system is maximized. Necessary conditions for the concavity of the
proposed profit function are also derived.
3 - Coordinating Supply Chain for Consumers Returns
Yertai Tanai, Kent State University, Department of Management
& Information S, Kent State University, Kent, OH, 44242-0001,
United States of America, ,
Emmanuel Dechenaux, Alfred Guiffrida, Eddy Patuwo
Given the complex nature of processing returned products in a supply chain,
firms have adopted the strategy of outsourcing the returns handling to third party
reverse logistics providers (3PRLP). We consider a supply chain design where
multiple 3PRLP’s compete to process the returns. We formulate Nash equilibrium
game among 3PRLP’s
WB77