Informs 2015

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INFORMS Philadelphia – 2015
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2 - Regenerator Location Problem in Flexible Optical Networks
Baris Yildiz, Bilkent University, Universiteler MAH., Ankara,
06800, Turkey, , Oya E. Karasan
We present the regenerator location problem in flexible optical network that
solves the regenerator placement, routing, bandwidth allocation and modulation
selection problems jointly. We propose a novel branch and price algorithm for this
challenging problem. Our results show that making routing, bandwidth
allocation, modulation selection and regenerator placement decisions in a joint
manner, it is possible to obtain drastic capacity enhancements with a limited
regeneration capability.
3 - Risk Based Facility Location by using Fault Tree Analysis in
Disaster Management
Ibrahim Akgun, Assoc. Prof., Abdullah Göl University,
Departmen of Industrial Engineering, Kayseri, 38080, Turkey,
We develop an optimization model that minimizes the risk that a disaster-prone
area may be exposed to because it is not supported by facilities located for
prepositioning supplies. The risk is calculated as the multiplication of threat,
vulnerability of the area, and consequence. The vulnerability is computed by
using fault tree analysis and incorporated into the optimization model
innovatively. The resulting non-linear integer program is linearized and solved as
a linear integer program.
4 - Service System Design with Economies-of-scale and Congestion
Samir Elhedhli, University of Waterloo, 200 University Avenue,
Waterloo, Canada,
We formulate and provide solution methodologies for the service system design
problem with immobile servers, stochastic demand, and capacity economies of
scale. We start by reformulating the problem, and then provide solution
approaches based on piecewise linearization, Second Order Cone Programming
(SOCP), and Lagrangian Relaxation. Numerical results are provided
MB57
57-Room 109B, CC
Optimization of Power Systems Planning and
Operation
Sponsor: ENRE – Energy I – Electricity
Sponsored Session
Chair: Miguel Anjos, Polytechnique Montreal, Mathematics and
Industrial Engineering, Montreal, Canada,
1 - Chance-constrained Generation Expansion Planning
Incorporating Bus Sensitivities
William Rosehart, Schulich School of Engineering, University of
Calgary, Calgary, AB, Canada, ,
Monishaa Manick, Miguel Anjos
A Generation Expansion Planning problem with load uncertainty is formulated
based on joint chance-constrained programming. Sensitivities are used to allow
greater emphasis to be placed on regions with high demand relative to
generation, and similarly to allow for lesser emphasis on regions that are
generation-rich. Numerical results are presented for IEEE test systems.
2 - Interrelationship Between Power Transmission and Storage
Elements of the Power Network
Enzo Sauma, Pontificia Universidad Catolica de Chile,
Santiago, Chile, , Carlos Bustos, David Pozo,
Javier Contreras, Sebastian De La Torre, Jose Aguado
We study the interrelationship between the construction of new power
transmission lines to integrate wind farms and the installation of new power-
storage elements in the network. In particular, we analyze the effect of adding
new power-storage components into the power system over the optimal
transmission expansion plan. We illustrate our analysis using a stylized version of
the Chilean main power system (Sistema Interconectado Central).
3 - Bilateral Contract Optimization in Power Markets
Miguel Anjos, Polytechnique Montreal, Mathematics and
Industrial Engineering, Montreal, Canada,
, François Gilbert, Patrice Marcotte,
Gilles Savard
We consider an energy broker linking its customers and the power grid through a
two-sided portfolio of bilateral contracts. The contracts cover a number of actions
taken by the customers on request within specified periods. Managing this
portfolio raises a number of modelling and computational issues due to the
aggregation of disparate resources. We propose an innovative algorithmic
framework that models short-term decisions factoring in long-term information
obtained from a separate model.
MB58
58-Room 110A, CC
Analytics in the Petrochemical and Petroleum
Industries II
Sponsor: ENRE – Natural Resources II – Petrochemicals
and Petroleum
Sponsored Session
Chair: Tejinder Singh, Sr. Research Scientist, Delaware Research and
Technology Center - Houston, TX,
1 - A Simulation and Optimization Framework for Petroleum
Refinery Operations
Ariel Uribe, Ecopetrol S.A., Km 7 Via Piedecuesta, Piedecuesta,
Colombia, , Sandra Montagut,
Omar Guerra
In this work we present a framework for the simulation and optimization of
petroleum refinery operations at strategic and tactic decision levels. Concerning
the adequate modeling of processing units, the developed framework allows for
the integration of economic models with both linear and non-linear empirical
process models based on historical data, rigorous process simulators, or pilot plant
data using scale up techniques.
2 - Long-term Demand Forecasting in Industrial Gas Markets
Bin Yu, Air Liquide, 200 GBC Dr, Newark, DE, 19702,
United States of America, Adel Basli,
Gildas Bonnier, Athanasios Kontopoulos, Brian Besancon
In this talk we will focus on long-term demand forecasting of liquid oxygen and
liquid nitrogen in the U.S. in 5-10 years. We analyzed the predictive performance
of several forecasting techniques for IP in each sector using the employment and
GDP as leading and associated variables. Moreover, we developed the method of
decomposing the demand from the national level to local markets and identified
the sectors that drive or restrain market growth in each local market.
3 - A Multi-period MINLP Model for Long-term, Quality-sensitive
Shale Gas Development
Markus G. Drouven, Carnegie Mellon University, 5000 Forbes
Avenue, Pittsburgh, PA, 15213, United States of America,
, Ignacio E. Grossmann
In this work we address the long-term shale gas development problem which
involves determining the optimal development strategy for drilling and fracturing
gas wells, and designing a pipeline gathering infrastructure. The problem is
formulated as a large-scale nonconvex MINLP involving concave investment costs
and bilinear terms in the flow balances. We present a solution strategy that relies
on an MILP approximation coupled with a restricted MINLP, which yields near
optimal global solutions.
MB59
59-Room 110B, CC
Panel Discussion: The Impact of the Value-Based
Approach on the Field of Strategy
Cluster: Strategy Science
Invited Session
Chair: Nicolaj Siggelkow, University of Pennsylvania, 2000 SHDH,
Philadelphia, PA, 19104, United States of America,
1 - The Impact of the Value-Based Approach on the Field of Strategy
Moderator:Michael Ryall, University of Toronto, Rotman School,
Toronto, ON, Canada, Panelists:
Peter Zemsky, Tomasz Obloj, Harborne Stuart
Value-based strategy provides an intuitive, economic theory for business strategy.
An immediate benefit is that it provides a coherent alternative to ad-hoc
frameworks, and, in the process, it makes explicit the fact that profits are typically
part of some larger economic pie. More broadly, by providing a theory for the
economic aspect of strategy, it allows strategy research to focus on some of the
richer issues in strategy, including, for example, organizational design, leadership,
and execution. The discussion will also consider the empirical questions that arise
from the general value capture model (i.e., bi-form games applied in the context
of strategy). The mathematics indicate novel issues for empirical investigation. For
example, whether the distinction between “competitive” vs “persuasive”
resources is meaningful (as the model suggests it should be) and, if so, in which
real-world settings one type is more efficacious than the other for superior
returns.
MB59