2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
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MD53
Music Row 1- Omni
TIMES Distinguished Speaker
Sponsored: Technology, Innovation Management
& Entrepreneurship
Sponsored Session
Chair: Sinan Erzurumlu, Babson College, 231 Forest St, Babson Park,
MA, 02457, United States,
1 - Processes In Entrepreneurship
Moren Levesque, York University,
Phenomena in the scholarly field of entrepreneurship must often be studied as
processes that involve assumptions of dynamism, nonlinearity, complexity,
ambiguity, with multi-theoretical and multi-level analyses. While acknowledging
these properties in the conceptual, formal or empirical framing of my research, I
go over some findings from investigating the business investment process and
entrepreneurial market process. I also offer some thoughts on research
opportunities to further our understanding of such processes and their practical
implications. I conclude with real-life examples where the knowledge of these
practical implications has resulted in entrepreneurial achievements.
MD54
Music Row 2- Omni
Service Optimization, Design and Measure in
Emerging Market
Sponsored: Service Science
Sponsored Session
Chair: Yihong Hu, Tongji University, 1239, Siping Road, Shanghai,
200092, China,
1 - Benefiting From Seasonal Overloading Problem Of Delivery
Service: A Strategic Analysis Of Dual Channel Business
Xiang Ji, School of Management, University of Science and
Technology of China, Hefei, China,
Jie Wu, Jiasen Sun
The tension between limited delivery service capacity and concentrated enormous
orders in online hot selling seasons is one of the most serious problems that
troubles nowadays e-commerce. To tackle this issue, we present a strategic
analysis for the retailer who is involved in both online sales channel and bricks-
and-mortar retail channel. A series optimal decisions on pricing, inventory and
service level in different scenarios of consumer segments are derived. We also
propose several contractual methods for the retailer to coordinate with its
upstream manufacturer and its delivery supplier.
2 - Risk Measure Of Automobile Supply Chain Based On
Conditional Value At Risk Approximation To Value At Risk
Constrained Program
Shiting Zhang, Tongji University, Shanghai, China,
, Jiantong Zhang, Xiaodong Chen
VaR and CVaR are time-honored risk measures in the field of finance. We apply
them to construct a three-hierarchical quantitative risk measure model for
automobile supply chain. VaR does not necessarily preserve the convexity and
thus leads to difficulties of accurate computation. We first construct a tight
binding with the CVaR approximation, which is known as the best CCA of VaR,
then remedy the gap between VaR and CVaR by deriving the formulation of Hong
et al., and finally obtain the accurate solution of VaR. We select fifteen public
automobile companies, input their stock prices into the model, and finally explain
its feasibility and practicality for risk assessment and risk orientation hunting.
3 - Path-Based Model And Algorithm For Emergency Evacuation
Tianhu Deng, Tsinghua University, Beijing, China,
, Jianghua Zhang
Natural disasters such as earthquake or tsunami can easily take the lives of thou-
sands of people and millions worth of property in a fleeting moment. A success-
ful emergency evacuation plan is critical in response to disasters. In this paper,
we seek to investigate the multi-source, multi-destination evacuation problem.
First, we build a mixed integer linear programming model. Second, based on K
shortest paths and User Equilibrium, we propose a novel algorithm (hereafter
KPUE), whose complexity is polynomial in the numbers of nodes and evacuees.
We prove that the algorithm is exact when there is only one source node.
Finally, we demonstrate the effectiveness of Algorithm KPUE by a real evacua-
tion network in Shanghai, China. The numerical examples show that the average
computation time of the proposed algorithm is 93% less than that of IBM ILOG
CPLEX solver and the optimality gap is no more than 5%.
MD55
Music Row 3- Omni
CPMS Isolated Practioner
Sponsored: CPMS, The Practice Section
Sponsored Session
Chair: Jack Theurer, G Theurer Associates, Inc., 215 West 92nd Street,
New York, NY, 10025, United States,
1 - Isolated Practitioner Workshop
Jack Theurer, G Theurer Associates, Inc., 215 West 92nd Street,
New York, NY, 10025, United States,
Topics in this series address timely issues of interest to the isolated practitioner
community of Analytics/OR/MS (“Lone Ranger” practicing the profession
independently or within a large organization) while also having a universal
appeal to a broader audience of practitioners from all walks of life in the
profession. This is the 33rd in the series of workshops sponsored by the Practice
Section of INFORMS since the first one at the 1992 fall meeting in San Francisco.
MD56
Music Row 4- Omni
IOT: Technology Innovation and Business Impact
Sponsored: EBusiness
Sponsored Session
Chair: Zhe Shan, Assistant Professor, University of Cincinnati,
2925 Campus Green Dr, 317 Lindner Hall, Cincinnati, OH, 45221,
United States,
1 - Internet Of Things Business Innovations And Opportunities
Michael Chuang, State University of New York at New Paltz, New
Paltz, NY, 1, United States,
: Internet of Things (IoT), a global infrastructure enabling services by
interconnecting physical and virtual things based on interoperable information
and communication technologies, has emerged in business applications in various
industrial areas. However, there is lack of holistic research that explores business
opportunities enabled by IoT and related analytics. In this preliminary study, to
build a needed foundation for IoT research, we review literature focusing on IoT-
enabled business scenarios, and delineate related issues such as innovation for
future research. .
2 - Network Analysis Of Supply Chain Adaptation For Disruption
Recovery: An Empirically Grounded Complex Adaptive
Systems Approach
Kang Zhao, University of Iowa,
This study investigates adaptive decisions and strategies in a real-world large-scale
supply chain network in the face of a disruption in the network through the
development and usage of an agent-based model. With real-world data, we show
the supply chain network has structures similar to scale-free networks, and how
the model of adaptive behaviors can leverage competition relationships within a
supply chain network. We also illustrate how disruptions propagate in the supply
chain network through cascading failures and develop metrics to predict such
propagation. Finally, we test strategies an individual firm can trigger to reduce the
negative effects of a supply chain network disruption.
3 - A Spatial Adaptive Sampling Procedure For Monitoring
High-dimensional Data Streams
Xiaochen Xian, University of Wisconsin, 500 Lincoln Drive,
Madison, WI, 53706, United States,
High dimensional (HD) data streams frequently appear in modern engineering
applications and provide challenges for process monitoring. A spatial adaptive
sampling and monitoring (SASAM) procedure is proposed under the limited
resource constraint for detecting clustered out-of-control variables. Numerical
studies show that the proposed method significantly outperforms the adaptive
sampling strategy taking no consideration of the variables’ spatial distribution.
3 - Consumer's Preferences Modeling For Rail Transportation
In Qatar
Rana Sobh, Qatar University, Doha, Qatar; ,
Belaid Aouni
The increase in traffic congestion, road safety and pollution have led Qatar to
improve the existing public transportation system and introduce Doha Metro.
This shift in public transportation requires changes in consumers’ perceptions
about rail transportation. The aim of our paper is to predict the factors that may
impact consumers’ behavior and their preferences in choosing transportation sys-
tems. Moreover, our study aims to develop a better understanding of the rail
transportation mode adoption in Qatar and provides some recommendations to
the policy makers in Qatar Rail.
MD53