2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
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103A-MCC
Collaborative Innovation and Project Supply Chain
Management Interfaces
Invited: Business Model Innovation
Invited Session
Chair: Yao Zhao, Rutgers University, Newark, NJ,
United States,
Co-Chair: Onesun Steve Yoo, University College London, School of
Management, Gower Street, London, WC1E 6BT, United Kingdom,
1 - Investment In Shared Suppliers
Youngsoo Kim, University of Illinois, Champaign, IL, WC1E 6BT,
United States, mailto , Anupam Agrawal,
Dharma Kwon, Suresh Muthulingam
Motivated by an auto maker’s supplier quality management, we study the
investment time game of firms in a shared supplier when investment can spillover
to the other. In our model, each firm decides when to invest by observing
continuous flow of supplier performance with incomplete information on the
type of supplier. We first characterize equilibria by a region of preemption and
war of attrition. Then, we examine the interactive effects of spillover,
competition, and learning on investment strategies and time to invest. We
identify the simple conditions under which competition delays or hastens the first
investment in a shared supplier.
2 - Project Management Contracts Under Information Asymmetry
Ju Myung Song, Rutgers University,
Collaboration and partnership are essential for development projects many
industries. We develop game theoretical models to show how firms behave on
behalf of their best interest in collaboration and how it affects the project
performance under information asymmetry.
3 - On-demand Delivery Via On-demand Drivers
Michael Wagner, University of Washington, ,
Soraya Fatehi
Controlling shipping costs has always been a challenge for most retailers. With the
consumer trend towards more on-demand orders and the expectation of fast
shipping times, some retailers have decided to crowdsource their deliveries (e.g.,
Amazon Flex, Uber Rush). This delivery method uses an on-demand work force
to deliver orders. Retailers typically pay drivers hourly wages whereas couriers
such as UPS charge retailers per package. The use of an on-demand crowd for
logistics creates new challenges such as crowd availability, service level
constraints, and liability. In this presentation, we evaluate the crowdsourcing
delivery method and derive optimal strategies for firms.
4 - Managing Risks In Major Defense Acquisition Programs From
The Supply Chain Perspective.
Olena Rudna, Rutgers University,
The Major Defense Acquisition Programs (MDAP) cost overrun problem was on
the high-profile issues list of the U.S. Government Accountability Office since
1990s. Drawing on organizational theory, this work develops a series of proposals
explaining MDAP cost overrun from a supply chain management perspective.
Using data mining techniques, we combined two independent publicly available
data sources related to the MDAP performance and contracting activities over the
past twenty years. Then we conducted a three-tier analysis—strategic, operational
and tactical—to detect data patterns related to risks related to the MDAP project
performance from the supply chain point of view.
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103B-MCC
Panel Discussion: Open Challenges in Internet of
Things & Agriculture Analytics
Invited: Agricultural Analytics
Invited Session
Moderator: Robin Lougee, IBM Research, IBM TJ Watson Research
Center, 1101 Kitchawan Road, Yorktown Heights, NY, 10598,
United States,
1 - Panel Discussion: Open Challenges In Internet Of Things &
Agriculture Analytics
Robin Lougee, IBM Research, IBM TJ Watson Research Center,
1101 Kitchawan Road, Yorktown Heights, NY, 10598,
United States,
The Internet-of-Things is expected to enable a second Green Revolution in
agriculture with the potential to feed and sustain the growing world population.
What are the important problems, application areas, and future research
directions needed to realize the vision of digital agriculture? This panel will
explore the state-of-the-art and discuss the open challenges for analytics and
operations research experts.
2 - Panelist
Joseph Byrum, Syngenta, des Moines, IA, 50235, United States,
3 - Panelist
Melissa Moore, INFORMS, Catonsville, MD, 21228, United States,
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103C-MCC
Renewable Energy Systems and Grid Integration
Sponsored: Energy, Natural Res & the Environment, Energy II Other
Sponsored Session
Chair: Alexandra M Newman, Colorado School of Mines,
1 - Optimization Of Stored Energy Dispatch For Concentrating Solar
Power Systems
Michael J Wagner, National Renewable Energy Laboratory,
2 - Optimal Design Of Concentrating Solar Power Systems
Will Hamilton, Colorado School of Mines,
In 2011, the United States Department of Energy launched the SunShot Initiative,
the mission of which is to make solar energy technologies more affordable and
accessible to citizens by 2020. With the use of thermal storage devices,
concentrated solar power (CSP) technologies store solar energy in the form of
thermal energy which can be used to supply electrical power during hours of little
to no solar resource. In order to make CSP systems competitive with current
technologies, we optimize design to minimize system, operation, and
maintenance costs for the lifetime of the plant, providing preliminary numerical
results.
3 - ROC-ing The Grid: The Unintended Consequences Of Northern
Ireland’s Renewable Obligation Credit
Destenie Supreece Nock, University of Massachusetts - Amherst,
Amherst, MA, 01002, United States,
Erin Baker
In 2005 Northern Ireland introduced the renewable obligation certificate (ROC)
policy, which was designed to increase the levels of renewable generation in the
country. While the ROC was successful in encouraging the uptake of renewable
generation technology, the amount of small- and micro-generation incorporated
into the power system was much larger than anticipated. We use this case study
as an illustration of specific opportunities for IEOR research in power system
reliability and cost optimization. We discuss reliability metrics useful for
evaluating potential responses to Northern Ireland’s challenges.
4 - Siting And Sizing Of Merchant Energy Storage
Yury Dvorkin, University of Washington, Seattle, WA,
United States, Yury Dvorkin, New York
University, New York, NY, United States, ,
Ricardo Fernandez-Blanco, Jean-Paul Watson,
Cesar A Silva-Monroy, Cesar A Silva-Monroy,
Hrvoje Pandzic, Daniel Kirschen
A high capital cost of battery energy storage systems (BESSs) raises concerns over
whether merchant BESSs are economically viable within a market environment.
This presentation will describe two multi-level optimization models that explicitly
guarantee the profitability of merchant investment decisions on BESSs siting and
sizing. The presentation will also demonstrate how these decisions are affected by
a co-optimization with transmission expansion plans. Numerical simulations
carried out on test-beds of the ISO New England and WECC systems demonstrate
that considering the profitability of merchant BESSs also leads to improvements
in market efficiency.
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