2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
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SA09
3 - A Reformulation Of The Appointment Scheduling Problem With
Customer Choice Behavior And Multiple Customer Types
Cem Aydin, Koc University, Dept of Industrial Engineering,
Istanbul, Turkey, Alp Aribal, Cansu Erol,
Begum Tuglu
In this paper, we propose a new formulation to the appointment scheduling
problem with customer choice behavior and multiple customer classes. Using this
new formulation and an approximation of the state space, we find an upper
bound to the total expected revenue. We exploit the special structure created by
our new formulation to present an efficient algorithm that can find this upper
bound. We test methods commonly used in practice using our upper bound to
rate their performance and show that performances of traditional methods decay
as problem size increases.
SA09
103B-MCC
Balancing Water Use for Food and Energy
Sponsored: Energy, Natural Res & the Environment I Environment
& Sustainability
Sponsored Session
Chair: Hayri Onal, University of Illinois, 305 Mumford Hall, 1301 W.
Gregory Dr., Urbana, IL, 61801, United States,
1 - A Robust Planning Decision Model For Smart Water System
Mengqi Hu, University of Illinois at Chicago, 842 W. Taylor St.,
3023 ERF, Chicago, IL, 60607, United States, ,
Afshin Ghassemi
Water is a critical resource for different sections and people’s everyday life. In this
research, we propose a robust planning decision model for smart water system
including sources, water plants, end users and waste water systems. In the smart
water system, the concepts of dynamic pricing and onsite inventory and 3rd-party
water plant are explored. Various levels of uncertainties from both water demand
and pipeline efficiencies are considered. Three sets of experiments are developed
to test the effectiveness of the proposed decision model. It is concluded that our
proposed model provides a platform to transform novel smart grid concepts to
renovate the existing water infrastructure.
2 - Assessment Of Ecosystem Services In A Semi-arid
Agriculture-dominant Area: Framework And Case Study
Yihsu Chen, University of California, Santa Cruz, Yihsu Chen,
Ramesh Dhungel, Rudy Maltos, Kumar Sivakumaran,
Andres Aguilar, Thomas Harmon
Evaluating ecosystem services is difficult as the services are not traded at an open
market. In this study, we developed a framework that allows for assessing the
effectiveness and implied costs of ecosystem services provided by a restored SJR
(San Joaquin River) in a semi-arid agriculture-dominant area. This is done by
explicitly linking economics-based farmers’ model with a reduced-form
hydrological model that is loosely coupled to a physical-based stream-temperature
model. We quantify the lower bound of the short-run economic costs and show
that current mandated flows are unlikely to have a meaningful impact on
restoring fish population.
3 - Predictive Analytics For Sustainable Water Consumption
Ellen Wongso, Student, Purdue University, West Lafayette, IN,
47906, United States, , Zijian He,
Roshanak Nateghi
According to a recent report by the EPA, 40 states will experience water shortages
in the coming decade. Climate change and increased consumption trends will
likely exacerbate the current water scarcity issues. Access to clean water is a basic
human right and is an essential element is ensuring energy and food security.
There is therefore a critical need to identify the main drivers of consumption to
promote sustainable use. Previous research on water sustainably has been local in
scope and mostly from a management science perspective. In this research we will
leverage advanced statistical learning methods to identify the main drivers of
water usage in the US.
4 - Scheduling Water Reuse In The Food Industry:
Theory And Application
Renzo Akkerman, Technical University of Munich, Munich,
80333, Germany,
Sai Jishna Pulluru
Water considerations are increasingly relevant in the planning and scheduling of
production activities in the food industry. This includes the reuse of various water
streams and their possible treatment or regeneration. We develop a model for
production scheduling that integrates water flows and their possible treatment for
reuse. We perform a numerical study to analyze the performance of the modelling
approach, and also apply the model in a case application from the dairy industry.
Overall, the results demonstrate the relevance of the modelling approach and its
computational performance. Furthermore, the work provides managerial insights
for increased water efficiency in the food industry.
SA10
103C-MCC
Optimizing Distributed Energy Generation I
Sponsored: Energy, Natural Res & the Environment, Energy II Other
Sponsored Session
Chair: Alexandra M Newman, Colorado School of Mines, 1,
Golden, CO, 1, United States,
1 - Hybrid Energy System Dispatch Strategy For A Forward
Operating Base
Mark Husted, Colorado School of Mines,
Given a set of systems (i.e., batteries, diesel generators, and photovoltaics), we
determine a dispatch strategy for a forward operating base, isolated from the grid.
This cost-minimizing strategy subscribes to minute-level fidelity over a 24-hour
time horizon given the expected demand profile and the anticipated solar
generation. Operational constraints include (i) ramp-up and ramp-down and
minimum up and down times of the generators, (ii) spinning reserve levels, and
(iii)other interoperability requirements among the systems. We show how our
model results improve over traditional rules of thumb used for real-time dispatch.
2 - A Capacity Expansion Model For Energy Planning For Turkey
Muhammed Sutcu, Assistant Professor, Abdullah Gul University,
Sumer Campus, Erkilet Bulvari, Kayseri, 38060, Turkey,
, Tugba Degirmenci
There has been a considerable effort to raise the share of their renewable energy
(RE) sources in the total sum to reach an environmental sustainability. This study
addresses the question of what level of each type of RE should actually be
provided year by year to maximize the total productions by minimizing the
associated costs for RE policies of Turkey. With this goal on mind, a multistage
optimization model for years 2016-2023 is constructed and solved with the
interpretation of the results throughout the study.
3 - Integrated Model For Power Interruption Contracts
Lakshmi Palaparambil Dinesh, University of Cincinnati,
601 Mc Alpin Avenue, Apartment 5, Cincinnati, OH, 45220,
United States, , Uday S Rao,
Jeffrey D. Camm, Kenneth Skinner
Demand response is changing electricity usage based on a change in price of
electric power. We study a demand response program where residential customers
participate. Each customer has to sign up for a contract to enroll in the program.
We develop a model that helps to decide which power unit to turn on or off,
which customers to cut power during peak demand hours, and what contract
parameters to use while designing contracts between the supplier and residential
customers. The proposed model leads to higher overall costs savings for the power
supplier compared to the current model used in practice.
4 - Optimal Sizing Of An EV Parking Facility Within A Microgrid
Ebrahim Mortaz, Auburn University, 115 N. Debardeleben St.
Apt 29, Auburn, AL, 36830, United States,
Jorge F Valenzuela
Integrating the provided energy and storage capacity by the electric vehicles into
the microgrid reduces the cost of electricity supply. In this talk, we assume that a
grid-connected microgrid is set to transform an EV parking facility into a large
energy storage resource by investing on the V2G technology. We propose a
mathematical model that aims to determine the optimal number of V2G stations
in the parking facility by minimizing the total cost of the microgrid. The results
show that the investment in the V2G technology is an enhancement to the long-
term economics of microgrids.
SA11
104A-MCC
Cliques and Clique Relaxations
Sponsored: Optimization, Network Optimization
Sponsored Session
Chair: Eugene Lykhovyd, Texas A&M University, College Station, TX,
United States,
1 - Exact Algorithms For The Minimum S-Club Partitioning Problem
Oleksandra Yezerska, Texas A&M Univeristy, Fort Worth, TX,
United States,
Graph clustering (partitioning) is a helpful tool in understanding complex systems
and analyzing their structure and internal properties. An $s$-club is a distance-
based relaxation of a clique and is formally defined as a subset of vertices
inducing a subgraph with a diameter of at most $s$. We study the minimum $s$-
club partitioning problem, which is to partition the graph into a minimum
number of $s$-club clusters. Integer programming techniques and combinatorial
branch-and-bound framework are employed to develop exact algorithms to solve
this problem. We also compare the computational performance of the proposed
algorithms for the special case of $s=2$ on a test-bed of real-life graphs.