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Images from the University of Waterloo website
WelcomeWe would like to welcome you to the Southwestern Ontario
Operations Research Day SWORD 2017.
We hope this event will bring ideas, collaborations, and long-lasting
friendships.
In this package, you will find the information you need about SWORD
2017, directions to get here, and useful contacts.
SWORD 2017 is organized by the Waterloo Chapter of CORS, in
collaboration with the Department of Management Sciences at the
University of Waterloo, and Southwestern Ontario Section of CORS.
SWORD 2017
PROGRAM
PARKING
SPEAKERS BIO AND ABSTRACT
ORGANIZERS
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5-11
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April 21st 2017, University of WaterlooWaterloo, Ontario, Canada #SWORD2017
SWORD 2017
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DATE: April 21st 2017
LOCATION: ROOM – Davis Center 1302
Davis Centre, Ring Rd, Waterloo, ON N2L 3G1(200 University Av. W. Waterloo, ON N2L 3G1)
CONTACT: [email protected]
EVENT WEBSITE:
http://mansci.uwaterloo.ca/~cors/index.php/sword2017/
Follow #SWORD2017
SWORD
2017
DC 1302
Notice of Photography: By registering to attend and attending this event, you are consenting
to the use of your appearance and image in the production and in any promotion or use of
the production in any media throughout the world.
Time Activity
8:30-9:00 REGISTRATION
9:00-9:15 INTRODUCTION by Dr. Samir Elhedhli
9:15-10:00 Dr. Michael Carter
10:00-10:30 BREAK
10:30-11:15 Dr. Dionne Aleman
11:15-12:00 Dr. F. Safa Erenay
12:00-13:00 LUNCH
13:00-13:45 Dr. James Bookbinder
13:45-14:30 Dr. Amitabh Sinha
14:30-15:00 BREAK
15:00-15:45 Dr. Fredrik Odegaard
15:45-16:30 Dr. Srinivasan Keshav
16:30 CONCLUDING REMARKS
Program
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Parking
If you are driving to conference, the University of Waterloo offers
several alternatives for parking. Since the event will be held at the
Davis Centre building (DC), lots Q or N may be the most
convenient, located within a 5-10 min walk from the conference
room.
The rate is CAD 5 for the entire day and the ticket can be
purchased at pay stations inside the parking lots, using credit card
or coins (only loonies or toonies accepted).
Lot Q: 95 Phillip St, Waterloo, ON N2L 3W8
Lot N: 20908 Ring Rd, Waterloo, ON N2L 3G1
Or you can click here for a google map showing parking locations
and walking path.
More information can be found at the UW parking services
website:
https://uwaterloo.ca/parking/visitors
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Parking in GreenLocation of DC in Blue
Title: Automated treatment planning optimization for LGK Perfexion
Abstract
In radiation therapy for cancer treatment, inverse planning approaches—
wherein optimization tools are used to automatically generate treatments—are
gaining in both popularity and clinical acceptance. While intensity modulated
radiation therapy has been the primary focus of optimization-based inverse
planning research in the literature, technological advances in the delivery of
stereotactic radiosurgery mean that radiosurgery treatments can now also
benefit from optimization-based treatment planning. We investigate several
optimization approaches for the Leksell Gamma Knife Perfexion radiosurgery
treatment device (Elekta AB, Stockholm, Sweden) and find that optimization
can improve on clinical deliveries as well as enable new treatment possibilities
for Perfexion, including continuous delivery and homogeneous dosages.
Bio
Dionne Aleman is an Associate Professor in the Department of Mechanical &
Industrial Engineering at the University of Toronto. She received her PhD in
Industrial and Systems Engineering from the University of Florida (2007), MSc
from the University of Florida (2006), and BSc from the University of Florida
(2003). Dr. Aleman’s research interests are in the application of operations
research to medical and healthcare systems. This research includes using
mathematical optimization models to design radiation therapy treatment plans,
using agent-based simulation to predict the spread of a pandemic disease in
an urban population, using graph theory to determine vaccination priorities
during a pandemic, and using optimization and simulation to improve hospital
surgical scheduling. Dr. Aleman has held grants from NSERC, CFI, ORF, and NSF
for her research. She is the President of the Canadian Operational Research
Society (CORS), as well as a past Vice President and Secretary of CORS Council,
and a past Secretary of the Health Care Operations Research Special Interest
Group. Within the Institute for Operations Research and Management Science
(INFORMS), she is a past Chair of the Health Applications Society (HAS), a past
President of the Public Sector OR Section (PSOR), and past President of the
Junior Faculty Interest Group (JFIG). Dr. Aleman is also a Topical Editor for the
Wiley Encyclopedia of Operations Research and Management Science,
Associate Editor for IIE Transactions on Healthcare Systems Engineering,
Associate Editor for the International Journal of Biomedical Data Mining, and
Editorial Board Member of Operations Research in Health Care.
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Dr. Dionne M. Aleman
Title: Location-Routing Problems with Economies of Scale
Abstract
The location-routing problem aims to select the sites at which facilities
(Distribution Centers) will be open, assign customers to those facilities, and
design vehicle routes from there to respective customers. The objective is
minimal total cost. For the “standard” location-routing problem, that total cost
includes (just) the fixed costs to open DCs plus the transportation costs from
facilities to customers. In this paper, we also consider the variable cost of
facilities’ operations. Two forms of variable cost are proposed. One is a linear
cost function with a constant operating cost per unit; the other employs a
concave function of total throughput at each DC. The latter is studied because
larger facilities may permit the use of enhanced technology, hence possible
achievement of economies of scale.
Following preliminary tests of several metaheuristic solution methods, we
employed a genetic algorithm with ant colony optimization. Computational
experiments of the model without variable cost are performed on two
published data sets. Then extensive testing is done on modified data sets: for
cases with operating cost but without economies of scale, and for other cases
when scale economies are present. We analyze the influence of economies of
scale, and study how parameter values affect those economies. Then we
carefully exhibit the tradeoffs between facility operating costs and
transportation costs. Conclusions are drawn and further research is suggested.
Bio
James H. Bookbinder is a professor of management sciences at the University
of Waterloo. For 20-plus years he has worked with manufacturing firms, third
parties and transportation carriers on the modeling and analysis of logistics
strategies and operations. He is the director of WATMIMS, the University of
Waterloo’s center for research in logistics and manufacturing. He is a past-
president of the Canadian Operational Research Society and past-chair of the
transportation science and logistics section of INFORMS. Jim holds an M.B.A.
from the University of Toronto and a Ph.D. from the University of California, San
Diego.
His current research involves optimization of joint inventory-transportation
decisions, and models for supply chains in the post-NAFTA, post-TPP eras. For
10 years, Dr. Bookbinder was an Associate Editor of Operations Research (OR
Practice), and still serves as an AE for the Journal of Business Logistics and for
Naval Research Logistics. Jim is co-author of a 2009 INFORMS tutorial chapter
on “Global Supply Chains.” He is the editor of Handbook of Global Logistics:
Transportation in International Supply Chains (Springer, 2013).6
Prof. James Bookbinder
Title: Healthcare Engineering: Quantitative Decision Support Models for the
Healthcare Industry
Abstract
Health Care is the number one industry in North America; bigger than automotive,
telecommunications or steel. Estimated total spending in 2016 in Canada was $228
billion or 11% of the GDP. Spending in the U.S. in 2015 was $3.2 trillion dollars US 17.6%
of the GDP. In 2015, Canada spent $5,543 per capita while the U.S. spent $11,126(CN).
Health care systems all over the world are in the midst of a serious financial crisis, and
the situation will likely get worse in the next few years. Demand is going up as the
population ages, and costs are increasing as the drugs and technologies continue to get
more complex and expensive.
Of course, it would help if there were more money available. However, I also firmly
believe that the health care industry could be run a lot more efficiently. Dr. Don Berwick
(former CEO of the U.S. Center for Medicare/Medicaid) claims that, in the U.S., 30% of
the cost of healthcare is waste. I suspect the same is true in Canada. Industrial Engineers
are helping the health care industry improve quality, reduce costs, improve effectiveness
and increase efficiency. Many of the concepts that have been used to manage supply
chains in other industries are slowly finding their way into healthcare. In this talk, I will
describe a few examples including strategic issues (health human resource planning),
tactical questions (wait list management) and operational problems (outpatient clinic
scheduling).
Bio: Michael Carter is a Professor in the Department of Mechanical and Industrial
Engineering at the University of Toronto (since 1981) and Founding Director of the
Centre for Healthcare Engineering. He received his doctorate in Mathematics from the
University of Waterloo in 1980. Since 1989, his research focus has been in the area of
health care resource modeling with a variety of projects in hospitals, home care, rehab,
long term care, medical labs and mental health institutions. He has supervised more
than 260 engineering students in over 160 projects with healthcare institutions. He is
cross appointed to the Institute of Health Policy, Management and Evaluation and the
School of Public Policy & Governance at Toronto. He was the winner of the Annual
Practice Prize from the Canadian Operational Research Society (CORS) four times (1988,
1992, 1996 and 2009). In 2000, he received the CORS Award of Merit for lifetime
contributions to Canadian Operational Research. He also received an “Excellence in
Teaching” Award from the University of Toronto Student Administrative Council. He is
on the editorial board for the journals “Health Care Management Science”, “Operations
Research for Healthcare”, “Health Systems” and “IIE Transactions on Healthcare
Systems”. He is on the Advisory Board for the Regenstreif Centre for Healthcare
Engineering at Purdue University, an Adjunct Scientist with the Institute for Clinical
Evaluative Sciences in Toronto (www.ices.on.ca) and a member of the Faculty Advisory
Council for the UofT Chapter of the Institute for Healthcare Improvement (IHI). In 2012,
he was inducted as a Fellow of the Canadian Academy of Engineering and in 2013, he
was inducted as a Fellow of INFORMS, the international society for Operations Research
and Management Science.
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Dr. Michael W. Carter
Title: OR Applications In Preventive Healthcare
Abstract
Preventive health care is a critical part of the national health systems that
includes the interventions towards preventing infectious/chronic diseases or
conditions. These interventions includes vaccination for infectious diseases,
preventive cancer screening (e.g., for colorectal cancer), public health measures
for limiting HIV spread and tobacco usage, etc. My talk will review some of the
challenging medical decision making and healthcare delivery problems related
to particular preventive healthcare problems. I will specifically focus on
vaccination for infectious diseases and cancer screening applications to discuss
how OR can provide insights for the controversial policy issues in this field.
Bio
Dr. Erenay received his BS and MS degrees from the Department of Industrial
Engineering at Bilkent University. He holds a PhD degree from the Industrial
and System Engineering Department at the University of Wisconsin-Madison,
USA. He currently works as assistant professor at the Department of
Management Sciences of the University of Waterloo, Ontario, Canada. Dr.
Erenay’s research interests include partially observable Markov decision
processes, dynamic programming, simulation modeling & optimization,
medical decision making, organ transplantation, cancer screening, infectious
disease modelling & vaccination, health care delivery, transportation and
multicriteria scheduling. His research received recognition in INFORMS
Pierskalla Award, Service Science Best Paper Competition Award , and IERC Best
Scientific Poster Award. He published in prestigious journals including
Operations Research, MSOM, Cancer, Medical Decision Making, PloSOne, EJOR,
and Annals of OR. He is an editorial board member of Service Science.
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Dr. F. Safa Erenay
Title: Optimal Lighting Control with Pervasive Sensing
Abstract
Most current daylight harvesting lighting systems measure lighting levels at the
luminaires, rather than at the work surface. Instead, we propose a system that
measures illuminance directly from an array of sensors embedded in the work
surface. Periodic illuminance measurements are performed unobtrusively by
careful scheduling of luminaire dimming times. We use a linear-programming-
based control algorithm that minimizes the power consumption while
dynamically accommodating heterogeneous illuminance requirements and
changes in occupancy. We evaluate the performance of our control algorithm in
a set of test scenarios and in our lab, and find that our system can reduce
energy consumption, compared to typical operating conditions by about 25%.
Joint work with Ansis Rosmanis and Catherine Rosenberg.
Bio
Professor S. Keshav received a B.Tech in Computer Science and Engineering
from IIT Delhi in 1986 and a Ph.D. in Computer Science from the University of
California, Berkeley in 1991. He was subsequently a researcher at AT&T Bell
Laboratories and, from 1996 to 1999, an Associate Professor at Cornell
University. In 1999 he left academia to co-found Ensim Corporation and
GreenBorder Technologies Inc. He was an Associate Professor at the University
of Waterloo from 2003 to 2008 and has been a Professor since, holding a
Canada Research Chair (2004-14) and the Cisco Chair in Smart Grid (2012-17).
An awardee of the Director’s Gold Medal from IIT Delhi, the Sakrison Prize from
UC Berkeley, two Test of Time awards from ACM SIGCOMM, and Best Paper
awards at both ACM SIGCOMM and ACM MOBICOM, he is the co-director of
the Information Systems and Science for Energy Laboratory, author of two
graduate textbooks on computer networking, an Alfred P. Sloan Fellow, an ACM
Fellow, and currently Chair of ACM SIGCOMM.
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Dr. Srinivasan Keshav
Title: Going, going, …., gone with probability p: A Stochastic Process
Approach to Auctions
Abstract
Auctions and competitive bidding are interesting commercial phenomena that
date back to the ancient civilizations. It is has historically been used extensively
as a sales mechanism in both Business-to-Business and Business-to-Consumer
markets. More recently, due to the rise of the internet, auctions have also
become commonplace in Consumer-to-Consumer markets. Despite auction’s
rich history as an economic mechanism, the theoretical Economics based
analysis only took shape with the development of modern Game Theory. It is
regrettably lesser known that the analysis of auctions also has a long standing
Operations Research tradition. In fact, the first PhD in Operations Research
(1957) was based on auction analysis.
In this talk I will cover three topics: (1) a brief history of auctions and auction
theory; (2) how auctions can be viewed and analyzed as a stochastic process;
and (3) some recent results on Shubik’s Dollar Auction (work co-authored with
Charles Zhang, Dept. Economics, UWO).
Bio
Fredrik Odegaard is an Associate Professor of Management Science at the Ivey
Business School, with cross-appointment at the Department of Applied
Mathematics, Western University. He received his PhD from Sauder School of
Business at University of British Columbia; dual Masters degrees in Operations
Research and Statistics from Stanford University; and a BSc in Purchasing and
Logistics Management from Arizona State University. While at Ivey Business
School he has developed several courses and taught extensively across the
MBA, MSc, PhD and HBA programs. Prior to his academic career Dr. Odegaard
worked as a Supply Chain Consultant for i2 Technologies and Programme
Director at RR Institute of Applied Economics. Dr. Odegaard’s research focus
and expertise spans Revenue Management and Health Care Operations. His
research has been published in academic journals, such as Production and
Operations Management, European Journal of Operational Research and
Journal of Revenue and Pricing Management, as well as in practitioner oriented
journals, such as Journal of Healthcare Quality and European Journal of
Ultrasound. Professor Odegaard served as the 2015 – 2016 President of the
Canadian Operational Research Society (CORS), and currently serves as editorial
board member of the Journal of Revenue and Pricing Management.
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Dr. Fredrik Odegaard
Title: Inventory Optimization for Fulfillment Integration in Omnichannel
Retailing
Abstract
With ecommerce growing at a rapid pace compared to traditional retail, many
brick-and- mortar firms are supporting their online growth through an
omnichannel approach, which integrates inventories across multiple channels.
We analyze the inventory optimization of three such omnichannel fulfillment
systems for a retailer facing two demand streams (online and in-store). The
systems differ in the level of fulfillment integration, ranging from no
integration (separate fulfillment center for online orders), to partial integration
(online orders fulfilled from nearest stores) and full integration (online orders
fulfilled from nearest stores, but in case of stockouts, can be fulfilled from any
store). We obtain optimal order-up-to quantities for the analytical models in
the two-store, single-period setting. We then extend the models to a
generalized multi-store setting, which includes a network of traditional brick-
and- mortar stores, omnichannel stores and online fulfillment centers. We
develop a simple heuristic for the fully-integrated model, and augment our
analysis with a realistic numerical study for networks embedded in the
mainland US, which demonstrates the efficacy of our heuristic. The talk will
close with an overview of other research directions in the space of
ecommerce/omnichannel operations.
Joint work with Aravind Govindarajan (PhD student at Michigan Ross) and
Joline Uichanco (Assistant Professor at Michigan Ross)
Bio
Amitabh Sinha is an Associate Professor of Technology and Operations at the
Ross School of Business. He is also the Ford Motor Company Co-Director of the
Joel Tauber Institute for Global Operations. He arrived at Ross in 2004, after
receiving his Ph.D. in Algorithms, Combinatorics and Optimization from the
Tepper School of Business at Carnegie Mellon University. Amitabh’s current
research focuses on the operations of ecommerce/omnichannel retail, about
which he also blogs at ecommerceaa.blogspot.com. He teaches classes in
analytics, data science, and statistics in the EMBA, MBA, and BBA programs
and Executive Education. He is interested in developing ways to deliver more
data analytics education to the management community, and is preparing to
deliver a MOOC on edx.org titled Data Analytics for Managers.
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Dr. Amitabh Sinha
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Abdelhalim
Hiassat
Dr. Joe
Naoum-Sawaya
(Faculty Advisor)
Dr. Samir
Elhedhli
(Faculty Advisor)
Majid
Karimi
Cynthia
Waltho
Gizem Sultan
Nemutlu
Burak
Yildiz
Paulo
de Carvalho
Organizers