Informs 2015

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INFORMS Philadelphia – 2015
489
WE32
32-Room 409, Marriott
Data Mining in Manufacturing
Contributed Session
Chair: Weihong Guo, University of Michigan, 1205 Beal Avenue, Ann
Arbor, MI, 48105, United States of America,
1 - Deterioration Monitoring of Ultrasonic Welding Tools Based on
High-order Decomposition
Yaser Zerehsaz, PhD Student, University of Michigan, Ann Arbor,
MI, 48105, United States of America,
Chenhui Shao, Jionghua (Judy) Jin
Ultrasonic welding has been used for joining lithium-ion battery cells in electric
vehicles. The geometric change of tool surfaces severely affects the weld quality. A
new monitoring scheme based on a high-order decomposition method is
suggested for the purpose of detecting the tool wear. A classification approach is
used to determine the wear level of tools, which is helpful in finding the
assignable causes of the extraordinary tool wear.
2 - Predictive Analytics of Semiconductor Chip Quality under Data
Imbalance Situations
Jin Soo Park, Mr., Korea University, Anam-Dong, Seongbuk-Gu
Korea University, Innovation Hall #816, Seoul, 136-713, Korea,
Republic of, Seoung Bum Kim
The quality prediction of the semiconductor industry has been widely recognized
as important and critical for quality improvement. The main objective of this
paper is to predict the final quality of semiconductor chips by solving data
imbalance problems. Our proposed method is generating more synthetic data
near the decision boundary in order to specify the minority class region. We
demonstrate the usefulness and applicability of the proposed method using real
data from a semiconductor industry.
3 - Identifying Key Factors Affecting Knowledge Absorptive Capacity
of Automobile Industry
Guohua Qiu, School of Economics and Management,
Tongji Univesity, No.1239 Siping Road, Shanghai, China,
, Yixi Xue, Jianxin You
Knowledge absorptive capacity is essential for the R&D of automobile firms. Thus,
identifying key factors affecting this capacity is important which, however, is
ignored by much research. This paper firstly builds a two-level factor framework
which contains four dimensions in the first level and 16 factors in the second
level. Interval valued intuitionistic fuzzy and DEMATEL model are then
constructed to identify key factors based on expert interview. Finally, some
suggestions are proposed.
4 - Decision Support Information System Based on Rough Set to
Telecom Churn Management
Mihrimah Özmen, University of Erciyes, Muhendislik Fakultesi
Endustri Muh Bolum, Kayseri, 38039, Turkey,
Emel Kizilkaya Aydogan
In this study a rough set based heuristic algorithm is developed enabling data
selection, filtering and aggregation. And then, in order to identify the customers
with churning tendency, a relatively novel and popular algorithm is proposed.
This cost-based particle swarm optimization algorithm is particularly efficient in
analyzing high dimensional data aggregate stacks with high accuracy.
5 - Multi-stream Profile Monitoring and Fault Diagnosis via
Sensor Fusion
Weihong Guo, University of Michigan, 1205 Beal Avenue,
Ann Arbor, MI, 48105, United States of America,
, Jionghua (judy) Jin, S. Jack Hu
When multiple signals are acquired from different sources, sensor fusion and data
dimension reduction are two major issues to achieve a better comprehension of
the process. A method for analyzing multi-stream profiles based on uncorrelated
multilinear discriminant analysis and ensemble learning is proposed in this
research for the purpose of profile monitoring, fault detection, and fault diagnosis.
The proposed method is compared with other solutions with both simulated and
real data.
WE33
33-Room 410, Marriott
Scheduling in Residency Rotational Medical
Programs
Sponsor: Health Applications
Sponsored Session
Chair: Ruben Proano, Associate Professor, Rochester Institute of
Technology, 81 Lomb Memorial Drive, Rochester, NY, 14623, United
States of America,
1 - Constructing Annual Block Schedules for Family
Medicine Residents
Jonathan Bard, Professor, University of Texas, 204 E. Dean
Keeton St., C2200, Austin, TX, 78712, United States of America,
Zhichao Shu, Douglas Morrice,
Ramin Poursani, Luci Leykum
This paper presents a mathematical model that can be used to help construct
annual block schedules for Family Medicine programs. Starting with the current
rotation templates our goal was to redesign them to concurrently (i) balance the
number of outpatients that can be seen in the clinic during each half-day session,
and (ii) minimize the changes to the current template assignments. Computations
are illustrated with data provided by the University of Texas School of Medicine in
San Antonio.
2 - Decision Support for Duty- and Workstation Rostering Subject to
Fairness and Preferences
Jens Brunner, University of Augsburg, Universitätsstrafle 16,
Universität Augsburg, WiWi, Augsburg, De, 86159, Germany,
, Andreas Fögener
We consider a practical physician scheduling problem at hospitals. We formulate
two mixed integer linear programming models for duty- and workstation
assignments. The duty-roster model assigns physicians to 24h- and late-duties
whereas the workstations-roster model assigns physicians to actual workstations
for each regular working day. To promote for job satisfaction we take into account
fairness and preferences. We present the status of the software development and
an evaluation of our models.
3 - A Multi-objective Optimization Approach to the Resident Rotation
Scheduling Problem
Akshit Agarwal, Rochester Institute of Technology, 81 Lomb
Memorial Drive, Rochester, NY, 14623, United States of America,
Ruben Proano
Resident rotation scheduling is a complex process, which makes it challenging for
schedulers to develop yearlong rotation schedules that not only adhere to the
various managerial and legal restrictions but also balance resident workload and
the quality of their education experience. We propose a multi-objective mixed
integer programming approach and evaluate its performance on a multi-criteria
scorecard based on AHP.
4 - Models and Approaches for Residents’ Annual
Rotation Schedules
William Pozehl, Research Specialist, University of Michigan, 1075
Beal Avenue, Suite 3246, Ann Arbor, MI, 48109, United States of
America, , Amy Cohn, Ed O’brien
Building annual resident rotation schedules requires not only meeting resident
education and service coverage requirements, but also fulfilling a variety of
requests to improve training quality and resident satisfaction. Priorities and
constraint complexity vary by program, but the underlying models and
scheduling approaches share fundamental similarities. We present our
experiences in building pediatric and surgical rotation schedules.
WE35
35-Room 412, Marriott
Public Health
Contributed Session
Chair: Gina Dumkrieger, ASU, 1151 S. Forest Avenue, Tempe, AZ,
85281, United States of America,
1 - Rapid Vaccination Response to a Deadly Disease Outbreak
Rebecca Scott, University of North Carolina Wilmington, 601 S.
College Road, Wilmington, NC, 28403, United States of America,
Gayle Prybutok, Victor Prybutok
Rapid vaccination response is developed for Ebola using a contextualized
newsvendor model. A network model that allows evaluating the importance of
decision making factors is both posited and tested. Implications are reported that
provide insights for increasing the ability to respond in a populated urban area.
WE35