2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
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4 - Operations Research In Space Engineering
Koki Ho, University of Illinois at Urbana-Champaign, 302F, Talbot
Laboratory, 104 S. Wright St, Urbana, IL, 61801, United States,
This presentation provides a survey of the state-of-the-art of operations research
(OR) in an unconventional application area: space engineering. Over the last 10-
15 years, optimization, probability, and stochastic analysis have been successfully
applied to various problems in space exploration, enabling more efficient space
mission planning and more effective in-orbit platform design. This presentation
reviews the representative theory and application development in this area and
lays out the potential future research directions.
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Music Row 5- Omni
Disaster and Emergency Management II
Contributed Session
Chair: Shaolong Hu, Ph.D candidate, Tongji University, 1 Zhangwu
Road, Tongji building-A, Room 1706, Shanghai, 200092, China,
1 - Optimal Dispatching Policies For Donation Collection
And Distribution
Robert Cook, University of Alabama, 201 Marina Drive,
Tuscaloosa, AL, 35406, United States, ,
Emmett J Lodree
This study introduces a Markov decision process (MDP) model for collecting
donations and distributing them to disaster survivors. Donations that accumulate
over time at collection sites are periodically transported to a relief center where
they are distributed to beneficiaries. The MDP model minimizes expected
unsatisfied demand during a finite horizon.
2 - Flood Disaster Relief Services: A Research Agenda For Recovery
Niratcha Grace Tungtisanont, PhD Candidate, Clemson University,
100 Sirrine Hall, Management Dept, Clemson, SC, 29634, United
States, , Aleda Roth, Yann Ferrand,
Bernardo F. Quiroga
We propose a research framework that covers the pre-, during- and post phases of
natural disasters relief services. More specifically, we focus on the service
operations strategies for improving the post-disaster recovery phase of flood
disasters. We aim to answer the following research questions: where should we
place our resources and efforts on the “pre- and during flood phases? Relatively,
how much should we invest in the first two phases in order to improve the
overall effectiveness in the recovery phase? We apply rigorous econometric
analyses that provides managerial and policy implications for improving the
resilience of communities and individuals affected by flood disasters.
3 - A Network Model For Relief Distribution In Emergency
Response Phase
Shaligram Pokharel, Professor, Qatar University, Doha, Qatar,
, Rojee Pradhananga, Fatih Mutlu,
Jose Holguin-Veras
A relief distribution model that minimizes the total cost while considering the
supply and transportation capacities constraints is developed. the distribution
network structure presented here considers distribution of the supplies through
pre-selected district bases that are reachable by land from the supply collection
points. Air-lifting is dedicated to end distribution of the supplies from the district
bases to the affected regions. Results and analysis are discussed based on model
performance in the context of a real-case network from recent disaster “Nepal
Earthquake 2015”. (This research is funded through Qatar/QNRF/NPRP Project:
5-200-5-027)
4 - A Multistage Stochastic Approach For Disaster Response In
Humanitarian Relief
Shaolong Hu, PhD Candidate, Tongji University, 1 Zhangwu Road,
Tongji Building-A, Room 1706, Shanghai, 200092, China,
This paper focuses on a transshipment problem with consideration of uncertain
road network capacity and vehicles coordination. Scenario tree is employed to
demonstrate the multi-stage stochastic decision process. A multi-stage stochastic
program model is developed to coordinate vehicles and scheduling of a
transportation plan with the objectives of minimizing rental, transportation,
handling, and penalty costs. Progressive hedging algorithm (PHA) is proposed for
solving large scale problems. Based on the real-world case of an earthquake,
numerical experiments are presented to study the applicability of the proposed
model, and the effectiveness of the proposed PHA is illustrated.
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Music Row 6- Omni
Finance III
Contributed Session
Chair: Yi-Ting Hsin, National Chi Nan University, Nantou, Taiwan,
1 - Human Capital Of President Of Venture Capital Firm And
Investment Performance
Cong Chen, PhD Candidate in SEM, THU, Tsinghua University,
Haidian Dstrict, 708A, 14# Zijing Apartment, Tsinghua University,
Beijing, 100084, China, Jizhen Li
This paper examined the effects of human capital of president of the venture
capital firm (VCF) on investment performance. We concerned two key
demographic characteristics, education and experience. In this paper, we
proposed several hypotheses about the relationship between human capital and
performance of VCF. Then we conducted empirical analysis to examine the
hypotheses, using data from 107 VCFs in China. We find that education
background in technology and business, finance experience, venture capital
experience and entrepreneurial experience of presidents of VCFs increase
investment performance.
2 - The Generalized Little’s Law And an Asset Picking System To
Model And Maintain an Investment Portfolio: A Working Model
Maria Luisa Ceprini, Professor, Massachusetts Institute of
Technology, E62-534 Cambridge, MA 02139 United States,
Cambridge, MA, 02139, United States,
John D.C. Little
In this second phase of our research project we are testing the Generalized Little’s
Law-Asset Picking System (GLL-APS) model, in order to tailor a customized
investment portfolio for the investor. We use more advisers, customers, a wider
selection of financial institution portfolios and our customized portfolios. We plan
an orderly rollout of our model in multiple sectors. These include private and
public investors, supplemental and social security funds. At the end the model
will be assessed.
3 - Trust Evolution Dynamics In The Venture Capital Syndicate
Network: An Analysis Based On A Wright-Fisher Process
Heyin Hou, Southeast University, School of Economics and
Management, Nanjing, 211189, China,
Jun Yin
Venture Capital Syndicate Network (VCSN) derives from syndicate investments
and relies on trust evolutions between venture capitalists (VCs). Based on a
Wright-Fisher process, we introduce a general model of trust evolution dynamics
with multi-strategy and protection mechanism in the VCSN. Then, we explore
influences of the protection mechanism on evolutionary stability conditions for
the two-strategy and the four-strategy models. Finally, we construct the global
profit function for the VCs and adopt simulation experiments to verify the trust
evolution dynamics for the two-strategy and the four-strategy models.
4 - Optimizing The Omega Ratio In Portfolio With Floating
Return Threshold
Yi-Ting Hsin, National Chi Nan University, Nantou, Taiwan,
Jing-Rung Yu,
Wan-Jiun Paul Chiou, WenYI Lee
The omega ratio is the ratio of the expected upside deviation to the downside
deviation of the threshold. The previous literature set the threshold fixed, which
leads the portfolio (1) to overweight on risky assets, and (2) to lower risk-return
efficiency. To better response the dynamics in market, we modify the threshold
changing according to the recent returns. To improve the feasibility, we further
model optimal asset short-selling, transaction cost, and buy-in limits in
constructing portfolio. We use the daily data of a wide range of high-liquidity
ETFs to analyze the effectiveness of the model. The empirical findings show that
the proposed model demonstrates higher realized performance.
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