Welcome - Management Sciencescors/wp-content/uploads/SWORD… · treatment device (Elekta AB,...

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Images from the University of Waterloo website Welcome We 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 2 3 4 5-11 12 April 21 st 2017, University of Waterloo Waterloo, Ontario, Canada #SWORD2017

Transcript of Welcome - Management Sciencescors/wp-content/uploads/SWORD… · treatment device (Elekta AB,...

Page 1: Welcome - Management Sciencescors/wp-content/uploads/SWORD… · treatment device (Elekta AB, Stockholm, Sweden) and find that optimization can improve on clinical deliveries as well

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

2

3

4

5-11

12

April 21st 2017, University of WaterlooWaterloo, Ontario, Canada #SWORD2017

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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.

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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

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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

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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

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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

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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

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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

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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

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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