2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
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2 - A Multi-objective Optimization Model For Mitigating Community
Economic Loss And Population Dislocation
Weili Zhang, University of Oklahoma, 202 W. Boyd St., Room 116,
Norman, OK, 73019, United States, ,
Charles Nicholson
Decisions regarding allocation of limited resources to improve the infrastructure
components are complex and involve various tradeoffs. In this study we develop a
mathematical model that incorporates expected building damage from an
earthquake, an estimate of the value of monetary loss from damaged buildings,
and a likelihood of families to be dislocated based on the damage to the housing
stock to determine which types of buildings should be prioritized for code level
improvements given a variety of external constraints. The model is applied to the
well-developed virtual city, Centerville, designed collaboratively by a team of
engineering experts, economists, and social scientists.
3 - A Data-driven Approach On Training Set Optimizaton For
Genomic Selection In Plant Breeding
Guiping Hu, Iowa State University, ,
Shiyang Huang
We propose a data-driven approach for training set optimization in genomic
selection for plant breeding. To deal with the enormous scaled genetic data, we
extract specific information according to the stages of decision making. The data
are processed and analyzed with different tools, including data mining and
stochastic process analysis. With the analytic tool, the plant breeding process is
expected to accelerate with high throughput.
4 - How To Provide Food Aid In Kenya: In Kind, Cash Or Voucher?
Feyza Guliz Sahinyazan, PhD Candidate, McGill University,
1001 Sherbrooke Street West, Montreal, QC, H3A 1G5, Canada,
, Marie-Ève Rancourt,
Vedat Verter
As of 2016, there are still more than 800 million people dealing with hunger who
are mostly located in Sub-Saharan Africa. Recently, relief efforts of humanitarian
organizations are shifting from in-kind food aid to different food assistance
programs. There are multiple reports suggesting that providing cash or vouchers
can be significantly more effective compared to in-kind food distribution.
However, our study is the first attempt to mathematically formulate the aid
modality selection problem. We develop a flexible methodology that can adjust to
the ever-changing dynamics of the food assistance environment using real data
from Kenya.
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214-MCC
Transportation Issues in Smart Cities
Sponsored: Public Sector OR
Sponsored Session
Chair: Leila Hajibabai, WSU, 405 Spokane St, Pullman, WA, 99163,
United States,
1 - Development Of An Optimal Control Logic For Autonomous
Intersection Management
Amir Mirheli, Washington State University, Pullman, WA, 99163,
United States, , Clayton Cline,
Leila Hajibabai, Ali Hajbabaie
Reliable coordination between connected-autonomous vehicles (CAVs) and
transportation infrastructure offers the possibility of eliminating existing traffic
signals in smart cities. This research develops an intersection control system (ICS)
that obtains advance information on CAVs’ arrivals, locations, and speeds over
time. ICS models an optimal logic to simultaneously maximize intersection
throughput and minimize delay while upholding safety constraints on vehicle
maneuvers to prevent collisions. Numerical results confirm that the proposed
technique can solve the problem efficiently.
2 - Variable Speed Limit Optimization In Urban Street Networks
Mehrdad Tajalli, Graduate Research Assistant, Washington State
University, Pullman, WA, United States,
Sattar Sattarov, Ali Hajbabaie
Emergence of connected vehicle technology provides the opportunity to facilitate
the movement of vehicles in smart transportation networks and reduce their
travel time. Dynamic speed limit on different links of the network helps efficiently
utilize the roadway capacity and facilitates network-wide vehicular movements.
This study develops a novel formulation and an efficient solution technique for
variable speed limit optimization based on cell transmission model.
3 - Dynamic Traffic Metering In Urban Street Networks
Rasool Mohebifard, Washington State University, Pullman, WA,
United States, , Andrew Stephenson,
Ali Hajbabaie
Traffic metering offers great potential to reduce congestion in oversaturated urban
street networks. This research presents a linear program for traffic metering in
smart urban street networks. We also present a Mixed-Integer Linear Program
(MILP) to address the flow holding-back problem of the linear program. We
propose a novel solution algorithm and show that it converts the MILP to a linear
program and several simulation runs.
4 - Distributed-coordinated Signal Timing Optimization In Connected
Transportation Networks
S.M.A Bin Al Islam, Graduate Research Assistant, Washington
State University, 545 NE Morton Street, Apt 202, Pullman, WA,
99163, United States, , James Amundsen,
Ali Hajbabaie
This research presents a Distributed-Coordinated methodology for signal timing
optimization in connected urban street networks. The novelty of the work arises
from reformulating the signal timing optimization problem from a central to a
distributed architecture, where a mathematical program controls the timing of
only a single intersection. The distribution, reduces the complexity of the
problem. Furthermore, distributed mathematical programs continuously
coordinate with each other to avoid finding locally optimal solutions and to move
towards global optimality.
5 - Strategic Design Of Station Location And Patrol Routing For
Incident Response Programs
Debashis Saha, Washington State University, Pullman, WA, 1,
United States, Leila Hajibabai
Transportation and enforcement agencies aim to clear traffic accidents in a timely
manner to mitigate congestion and improve traffic safety. This research develops a
set of mathematical programs to determine the optimal patrol routing scheme for
connected response teams under strategic dispatching station location decisions in
smart cities. The proposed models minimize the expected maximum response
time to all possible hotspots on transportation networks. A hybrid solution
algorithm including Lagrangian relaxation and column generation techniques is
developed. Numerical tests are conducted to evaluate the efficiency of the
proposed algorithm.
TA53
Music Row 1- Omni
Organizational Learning, Innovation and
Knowledge Creation
Sponsored: Technology, Innovation Management &
Entrepreneurship
Sponsored Session
Chair: Leonardo Santiago, Copenhagen Business School, Department of
Operations Management, Solbjerg Plads 3, Blok B 5. sal, Frederiksberg,
2000, Denmark,
1 - Why Scale Matters In Social Network Analysis: The Case Of
Twitter Conversations about YouTube Product Categories
Charles Weber, Portland State University, Portland, OR,
United States, Nitin Mayande
2 - Role Of Firm Knowledge, Quality Conformance And Lean
Practices On Product Development
Vashkar Ghosh, University of Florida, Warrington College of
Business, Gainesville, FL, United States,
, Janice E Carrillo
We investigate the implementation of lean principles which constitutes value
creation and waste elimination in a product development setting. We view a
firm’s design knowledge creation and quality development as value creation and
study its impact on product development. We also investigate a goal level of
quality performance.
3 - The Impact Of Learning On Cumulative Innovation
Leonardo Santiago, Copenhagen Business School, ,
Julia Couto, Nitin Joglekar
The ability to continuously innovate is a key asset to maintain a competitive
advantage. A sequence of successful innovations can render a company not only a
new product or technique but also a platform which could be used in future. This
work investigates how knowledge is accumulated over time as a function of
managerial decisions and the dynamics of firm’s knowledge. Our results show
that an organization can actively select pivoting points to appropriately balance
exploration and exploitation initiatives and successfully learn. Moreover, we
show how companies improve their performance by reacting to environmental
shocks or to turbulent environments.
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