2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
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Cumberland 6- Omni
Spatial Multicriteria Decision Making: Challenges and
Current Developments
Sponsored: Multiple Criteria Decision Making
Sponsored Session
Chair: Valentina Ferretti, London School of Economics and Political
Science, Houghton Street, London, WC2A 2AE, United Kingdom,
1 - Geographically Weighted Multi-attribute Decision Making For
Taxi Assignment
Ali Esmaeeli, University of California, Irvine, Irvine, CA,
United States, , L Robin Keller
Taxi assignment problem is usually considered as one part of the more general
vehicle routing problem (VRP) with a known value function. In this work, we
extend this viewpoint to match the problem more with the real world conditions.
We consider a map with weighted regions and propose a method to find the best
option for each taxi request based on two different attributes. These attributes are
the average response time for each region and the rate of accepted requests for
each region. We show how to combine these attributes and how to include the
region weights into the main value function. Moreover, we present a method for
finding the best assignment option based on our defined value function.
2 - Spatial Multi Criteria Decision Analysis In The Energy Sector: A
Preliminary Application To Deep Geothermal Energy Systems
Matteo Spada, Risk Analyst, Paul Scherrer Institut, OHSA/D19,
Villigen PSI, 5232, Switzerland,
Peter Burgherr
This study presents the preliminary application of a spatial MCDA to the energy
sector. In particular, Deep Geothermal Energy (DGE) systems are considered in
the analysis. DGE is gaining quite some interest as new renewable energy system,
since it offers the prospect of supplying base-load power in a decentralize fashion
and a theoretically large resource potential. The proposed approach will combine
spatial information from both explicit data (e.g., heat flow) and calculated ones
(e.g., risk indicators, environmental impact indicators, etc.) for specific a priori
defined capacity plants. The results will be presented for different hypothetical
stakeholders for the case study of Switzerland.
3 - Case Studies With Gear, A New Tool For Geospatial Multi-Criteria
Decision Analysis
Matthew Bates, Research Engineer, US Army Corps of Engineers,
Concord, MA, United States,
Michelle Hamilton, Jeffrey Cegan, Cate Fox-Lent, John Nedza
GEAR (the Geospatial Environment for Analysis and Reasoning) is a new, state-
of-the-art geospatial multi-criteria decision analysis (GIS-MCDA) tool developed
by the Engineer Research & Development Center of the US Army Corps of
Engineers. GEAR has a friendly and intuitive user interface, accepts diverse web-
service and file data inputs, and guides users through data exploration, criteria
development, value function and weight specification, and running the analysis.
It is designed for both practiced analysts and non-expert users. In this
presentation, we introduce the GEAR functionality through a series of spatial
decision case studies.
4 - Behavioural Issues In Spatial Decision-making Processes
Valentina Ferretti, London School of Economics and Political
Science,
Behavioral decision research has demonstrated that judgments and decisions of
ordinary people and experts are subject to numerous biases. While these biases
have already been extensively discussed in several disciplines, e.g. economics,
game theory, finance, and risk analysis, to name the most relevant, there is now a
need to pay more attention to behavioral and cognitive effects in spatial
environmental decision-making processes. Within this context, this talk explores
which biases are relevant in the field and proposes a first behavioral experiment
focusing on the weights elicitation step
5 - Landscape Multi-methodological Evaluations: Approaches For
Collaborative Spatial Decision-making Processes
Maria Cerreta, University of Naples,,
The paper, starting from the evolution of the landscape’s concept and related
evaluative approaches, focuses on the management of its complexity in
transformation processes included in the dynamic context of landscape’s values
and in its local development strategies. A multi-methodological synergistic
evaluations framework for a Collaborative Spatial Decision-Making Process has
been tested in some case-studies for context-aware planning strategies and
scenarios of local sustainable policies, combining Multi-Criteria Analysis (MCA),
Multi-Group Analysis (MGA) and Geographic Information Systems (GIS).
SA65
Mockingbird 1- Omni
Economics of Information Systems
Sponsored: Information Systems
Sponsored Session
Chair: Marius Florin Niculescu, Georgia Institute of Technology,
Georgia Institute of Technology, Atlanta, GA, 30332, United States,
1 - E-commerce In The Manufacturing Supply Chain:
An Empirical Analysis
Patricia Angle, Georgia Institute of Technology,
Christopher M Forman,
Kristina Steffenson McElheran
In this paper, we explore the value of e-commerce technologies on the total factor
productivity (TFP) of manufacturing plants. We find that, on average, e-selling
adoption is associated with a 1.4% increase in TFP. However, these returns differ
significantly between small and large plants. For large plants, those above the
25th percentile in number of employees, the increase in TFP is 2%. For plants
below that size threshold, the returns to e-selling are statistically indistinguishable
from zero. We further find that plants with prior experience with enterprise IT
realize greater productivity gains from their e-selling investments.
2 - Piracy-induced Competition In Information-good Supply Chains
Antino Kim, Indiana University, Bloomington, IN, United States,
Debabrata Dey, Atanu Lahiri
In an otherwise monopolistic information goods market, piracy presents itself as a
“shadow competition” to the legal product by providing consumers with other
means to use the product, albeit at a lower quality. In this work, we analyze the
effect of this shadow competition by comparing it to competition in a
manufacturer-retailer setting.
3 - Impact Of Promoting Free Wi-fi On Mobile Data Usage:
Evidence From A Field Experiment
Karthik Babu Nattamai Kannan, Georgia Institute of Technology,
Jeffrey Hu,
Sridhar Narasimhan
With the rapid proliferation of free Wi-Fi hotspots in public locations such as
restaurants, shopping malls, airports etc., mobile users have the choice of
accessing Internet either via paid mobile data plans or through the free Wi-Fi
hotspots. We conduct a field experiment in July 2015 to study the impact of
promoting free Wi-Fi service on mobile data usage. We work with a leading
national mobile carrier in the USA to randomly choose 500,000 subscribers who
receive a promotional text message about the availability of free Wi-Fi hotspots
and compare them with a control group made of 500,000 customers who do not
receive any promotional message.
4 - Strategic Intellectual Property Sharing: Competition on an
OpenTechnology Platform Under Network Effects
Marius Niculescu, Georgia Institute of Technology,
, D. j. Wu, Lizhen Xu
This study explores when an incumbent software developer might find it optimal
to utilize the open business model to share its intellectual property with entrants
in markets for software products with network effects.
SA66
Mockingbird 2- Omni
High-Dimensional Functional Data Analysis
Sponsored: Quality, Statistics and Reliability
Sponsored Session
Chair: Hao Yan, Georgia Institute of Technology,
Co-Chair: Kamran Paynabar,
1 - Difference Detection Between Two Images For Image Monitoring
Peihua Qiu, University of Florida,
Comparison of images is a fundamental task in image-based quality control. This
problem, however, is complicated because 1) observed images often contain
noise, and 2) the related images need to be geometrically matched up first
because images of different products could be geometrically mismatched. In this
paper, we propose effective methods for detecting difference between two images
of products, and our proposed methods can accommodate both noise and
geometric mismatch mentioned above.
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