Informs 2015

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INFORMS Philadelphia – 2015
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64 - Analytic Network Process: Assisting Computers to Think
Like Humans?
Elena Rokou, Chief Research Officer, Creative Decisions
Foundation, Ellsworth Ave, Pittsburgh, PA, United States of
America,
Whatever your stance is on Artificial intelligence, it is generally admitted that it
has not yet enabled computers to make satisfactory decisions. Methods like
Neural Networks, can train computers to make decisions for simpler types of
tasks, but the ANP can factor in morality, ethics and broader considerations
associated with complex decisions. We want computers to think more like
humans, thoughtful and compassionate in their choices, and ANP enables this
type of higher-level decision-making.
65 - An Energy-aware Multiobjective Scheduling Optimization
Framework for Sustainable Manufacturing
Saeed Rubaiee, Wichita State University, 2119 Malcolm Street,
Wichita, KS, 67208, United States of America, ,
Mehmet Bayram Yildirim
The goal of this paper is to minimize the total tardiness and total energy cost
under time-of-use electricity tariffs, where energy prices vary hourly, on a non-
preemptive single-machine. The problem is modeled using a mixed-integer
multiobjective mathematical programming model to obtain an approximate
Pareto front. Results show that the proposed multiobjective NSGA-II genetic
algorithm finds a good approximate Pareto front with better diverse solutions and
shorter computational CPU times.
66 - Early Warning Methods and Predictive Models for Hospital Risk
and Readmissions
Jakka Sairamesh, Ceo And President, CapsicoHealth, Inc, 2225 E
Bayshore Rd STE 200, Palo Alto, CA, 94303, United States of
America, Ruichen Rong
This poster and research abstracts presents the effectiveness of methods for
improving patient quality outcomes (e.g. reducing 30-day readmissions) based on
clinical and cost based factors. We will present early-warning methods to predict
patients at risk of 30-day readmissions based on past admissions, ER visit rates,
mortality rates, and charges. The dominant factors includes clinical risk, costs,
emergency room visits and mortality rates. The prediction showed nearly 88
percent accuracy.
67 - Software License Optimization Model for Software
Asset Management
Seungbae Sim, Korea Institute for Defense Analyses, 37 Hoegi-ro,
Seoul, Korea, Republic of, , Cheonsoo Yoo
Information System can be generally comprised of hardware and software. As
software has been getting more important than hardware, most organizations
must reduce increasing software costs and control software assets. Especially,
commercial software can be licensed to end-users. We propose the mathematical
model considering the complexity of software license types. Also, the case
example is presented for validating the proposed optimization model.
68 - Optimization Problems Arising in Stability Analysis of Discrete
Time Recurrent Neural Networks
Jayant Singh, Dept. of Mathematics, North Dakota State
University, 1210 Albrecht Boulevard Minard 408, Fargo, ND,
58102, United States of America,
We consider the method of Reduction of Dissipativity Domain to prove global
Lyapunov stability of Discrete Time Recurrent Neural Networks. It involves a
multi-step procedure with maximization of special nonconvex functions over
polytopes on every step. We derive conditions which guarantee an existence of at
most one point of local maximum for such functions over every hyperplane. This
nontrivial result is valid for wide range of neuron transfer functions.
69 - Modular Function Deployment Adapted to the Project Typology
in the Development of Modular Products
Monique Sonego, Universidade Federal do Rio Grande do Sul,
Av. Osvaldo Aranha 99 - PPGEP 5∫andar, 90035-190, Porto
Alegre, Brazil, , Angela Danilevicz,
Márcia Echeveste
Modular Function Deployment (MFD) is one of the best-known methods for
modularization in New Product Development. However, this method is not
tailored to different project typologies. We propose an adaptation for the MFD
method for different levels of complexity and novelty of each project. This
adaptation provides companies with the possibility of choosing the setting of
stages and tools that best fit their specific projects by customizing the application
of the MFD.
70 - Enriching Competitiveness and Connectivity with HLED-inspired
Air Service Agreement
Andrew Stapleton, Professor Of Supply Chain Management,
University of Wisconsin La Crosse, 1725 State Street, La Crosse,
WI 54650, La Crosse, WI, 54650, United States of America,
U.S. cargo and passenger airlines will have a greater opportunity to compete for a
larger share of freight trade and traffic between the U.S. and Mexico when the
new Air Services Agreement (ASA) takes effect January 2016. It is a key element
of the US-Mexico High Level Economic Dialogue (HLED), that aims to promote
competitiveness and connectivity, foster economic growth, productivity and
innovation, and partner for regional and global leadership.
71 - The Value of Flexibility in Dynamic Ride-sharing
Mitja Stiglic, University of Ljubljana, Kardeljeva Ploöcad 17,
Ljubljana, 1000, Slovenia, ,
Mirko Gradisar, Niels Agatz, Martin Savelsbergh
We consider a dynamic ride-sharing system that allows people with similar
itineraries and time schedules to share rides. Participants are willing to somewhat
adapt their trip plans in order to be matched. We study how participants’
flexibility in departure times and the willingness of drivers to perform detours
influence the matching rate and the sustainability of the system. We conduct an
extensive computational study to quantify the impact on system performance in a
variety of settings.
72 - Managing a Bike-sharing System using Wireless Mobility Data
Rahul Swamy, University at Buffalo, 49 Englewood (Lower),
Buffalo, NY, 14214, United States of America,
, Jose Walteros
This research aims to provide a mathematical framework for operating a campus
bike-sharing system. We use wireless network (WiFi) usage logs to generate a
detailed estimation of the inter-building demand across campus. We propose
solving a sequence of MILPs to determine: 1) the optimal location of bike stations,
2) the number of bikes to be added to or removed from each station every hour to
satisfy the demand-supply needs, and 3) the redistribution logistics, while
minimizing overall costs.
73 - Configurations of Distribution Strategies
Jing Tang, Em-lyon Business School, 23 Avenue Guy de
Collongueresear, Ecully, France,
Yeming Gong
Based on 124 quantitative samples with both first-hand and second hand data, as
well as 56 qualitative samples, this paper examines the strategic fit of distribution
strategies from the perspective of configuration theory. We find that the fit
between operational decisions including infrastructural and structural decisions,
and operational competencies including cost and flexibility, has an important
effect on business performance.
74 - Teaching Machine Learning Methods Based on Systematic
Approach Derived from Potential Theory
Nadia Udler, Fordham University, 113 West 60 St, New York, NY,
United States of America,
Many real word problems can be reduced to black box optimization. One of the
challenges in the design of black box optimization software is identifying a
minimal set of modules for building hybrids for real word applications. Existing
software provides such building blocks but they are heuristic thus difficult to
teach. We discuss black box optimization library based on systematic approach
derived from potential theory. It can be used as educational tool to teach machine
learning techniques.
75 - Optimizing Player Lineups in Daily Fantasy Sports
Nicholas Valentour, Graduate Student, University of Nebraska
Omaha, Department of Mathematics, Omaha, NE,
United States of America, , Betty Love
The growing market of online fantasy sports has increased demand for providers
of daily player projections and optimal fantasy lineups. Fantasy lineup
optimization is a variant of the multiple choice knapsack problem. We develop an
integer linear programming algorithm to identify optimal daily lineups. Further,
we combine the algorithm with forecasting to examine the overall fantasy
performance on historical basketball data.
76 - Design and Operation of a Last Mile Transportation System
Hai Wang, MIT ORC, 2D 550 Memorial Drive, Cambridge, MA,
02139, United States of America,
The Last Mile Problem refers to the provision of travel service from the nearest
public transportation node to a home or office. Last Mile Transportation Systems
(LMTS) are critical extensions to traditional public transit systems. We study the
design and operation of a LMTS from three perspectives: (1) performance
evaluation from a queueing perspective; (2) system operation from an
optimization perspective; and (3) demand estimation from an inference
perspective.
77 - Competition Strategies of Platform-based Retailing
Man Wang, Guanghua School of Management, Peking University,
No.5 Yiheyuan Road Haidian District, Beijing, China,
, Lihua Chen
While collaborating with third-party sellers via opening infrastructure online,
platform-based retailers and third-party sellers run into a head-to-head price
competition. We show that when the inventory of the platform-based retailer is
sufficient, higher service quality can bring larger competitive profits. However, it
may not always be optimal for a platform-based retailer to improve its service
quality. The platform-based retailer may be worse off when the inventory is
shortage.
POSTER SESSION