2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
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Music Row 6- Omni
Energy III
Contributed Session
Chair: Benjamin D. Leibowicz, Assistant Professor, University of Texas
at Austin, 204 E. Dean Keeton St., Stop C2200, Austin, TX, 78712,
United States,
1 - Modelling Electricity Balancing Market Prices And Premiums
Ezgi AVCI-SURUCU, Rotterdam School of Management,
Erasmus University, Rotterdam, Netherlands, ,
Wolfgang Ketter, Gerhard-Wilhelm Weber
In smart electricity markets, the increased penetration of renewable sources
reveals the need for decision support systems. For developing reasonable bidding
strategies, market participants need intelligent agents to make informed decisions
about the trade-off between sales in the day-ahead market or in the balancing
market. In this paper, by considering a detailed system-level data; firstly we
examine the market efficiency by fractal analysis to understand the level of price
predictability. Further, due the invalidity of normality and linearity assumptions,
we propose non-parametric non-linear models to provide strategic tools for policy
makers and market participants.
2 - A Game Theoretic Approach For Load-shifting In The Smart Grid
With Storage Capacity
Murat Erkoc, Associate Professor, University of Miami, 1251
Memorial Drive, Eng. Building. Room 282, Coral Gables, FL,
33146, United States, Eeyad Al-Ahmadi
We study the load-shifting problem within the context of smartgrid demand
response for an electricity market composed of a single energy provider and
multiple consumers. We consider the case where the energy provider has the
option of installing and managing client storage devices at consumer sites. The
provider acts as the leader and decides on price discounts and storage decisions
across a finite time horizon. The consumers, acting as followers, respond by
deciding if and how they shift their consumption from their nominal demand. We
investigate the joint impact of price discounts and storage option on player
incentives and peak-to-average ratios.
3 - Essential Aspects Of Power System Resource Planning In
Developing Community Of Microgrid
Aida Khayatian, PhD Student, University of Houston, 4722
Calhoun Rd, E206 Engineering Bldg 2, Houston, TX, 77204,
United States, , Masoud Barati, Gino J Lim
This paper addresses Microgrid expansion planning problem which helps
Community Microgrid companies to decide whether or not they invest on
Microgrid installation in a competitive electricity market. Integrated resource
planning, demand-side management, environmental issues, the competitiveness
of power investors, energy efficiency, rural electrification, future load growth and
possible power outage in the face of uncertainty and reliability are challenges
faced by power system planners. This paper develops a model and policy for
Microgrid expansion planning in a competitive electricity market under
uncertainty by considering these challenges.
4 - Technology-push, Demand-pull, And Strategic R&D Investment
Benjamin D. Leibowicz, Assistant Professor, University of Texas at
Austin, 204 E. Dean Keeton St., Stop C2200, Austin, TX, 78712,
United States,
A bilevel modeling framework is constructed to determine the optimal
combination of technology-push and demand-pull interventions for a given
technology policy application. The inner agents are profit-maximizing firms who
solve a two-stage stochastic decision problem with product and process R&D
investments. The outer agent is a welfare-maximizing policymaker. Findings
illustrate how the optimal technology policy combination varies with the primary
motivation for innovating and the relative strengths of three important market
failures (incomplete appropriability of R&D, a negative production externality,
and imperfect competition).
SC59
Cumberland 1- Omni
Spatial Analysis in Transportation & Logistics
Sponsored: Transportation Science & Logistics
Sponsored Session
Chair: EunSu Lee, Assistant Professor, New Jersey City University,
160 Harborside Plaza 2, #234H, Jersey City, NJ, 07311, United States,
1 - Understanding The Integration Of Freight Supply Chain By
Integrating Pairwise Decision Mechanism
Dapeng Zhang, Hyperloop Tech Inc.,
This paper develops an innovative econometric model to understand joint
response. The first part explains the matching process in a many-to-one matching
structure; The second part characterizes the joint decision making process of
mutually-selected decision makers. The two parts are integrated by recognizing
their dependency that is essentially a sample selection process: a joint response is
only observed for matched decision makers. The proposed model is estimated
using a Bayesian Markov-Chain Monte-Carlo approach. The likelihood functions
and posterior distributions are derived and followed by simulation studies to test
parameter recovery capability.
2 - Spatial Optimization For Designing Public Water Supply Systems
EunSu Lee, New Jersey City University,
To supply safe and clean water is critical for urban life. The objective of this study
is to provide spatial and optimization approach for public water supply. The model
considers existing and potential water sources to design public water supply
network. This study concerns demand-supply balance and age and safety of the
existing and network.
SC60
Cumberland 2- Omni
Facility Layout
Sponsored: TSL, Facility Logistics
Sponsored Session
Chair: Pratik J Parikh, Wright State University, 3640 Col. Glenn Hwy,
Dayton, OH, 45435, United States,
1 - Towards Calculating Realistic Walking Paths In Warehouses:
A New Approach
Sabahattin Gokhan Ozden, Graduate Research Assistant, Auburn
University, Shelby Center 3333, Auburn, AL, 36849, United States,
, Alice E. Smith, Kevin Gue
We consider a visibility graph as a new way of routing order pickers in traditional
and fishbone layout warehouses.. The traditional method of calculating distances
is not realistic for many warehouse designs, especially those with non-traditional
aisle structures. By using a visibility graph we not only consider paths that are
more realistic for non-traditional layouts but can also make unbiased comparisons
between traditional and non-traditional layouts for order picking operations.
2 - Retail Layouts For Maximal Exposure
Pratik J. Parikh, Wright State University, 3640 Colonel Glenn
Highway, 207 Russ Engineering Center, Dayton, OH, 45435-0001,
United States, , Corinne H. Mowrey
Industry practice suggests that over 70% of purchase decisions are made in the
store, and that store design influences shoppers’ buying decisions. Arguably one
of the most important attributes of store design is product exposure; i.e., what the
customer sees. We seek to optimize the design of a store section in order to
maximize exposure to a traveling shopper while accounting for bi-directional
traffic flow. Results from our approach suggest that layouts that combine both
acute (or obtuse) and 90° rack orientations generate substantially higher exposure
than traditional layouts for given floor-space and minimum rack-display
constraints.
3 - A Multi-objective Intermodal Network Design Considering The
Effect Of Carbon Tax
Sunderesh S Heragu, Oklahoma State University,
Xiaoren Duan
In this paper, we analyze a real world coal transportation intermodal network
across 15 states in US including highway, railway and inland waterway. With a
motivation to minimize the economic cost and environment cost simultaneously,
we propose multi-objective optimization models to analyze intermodal
transportation with economic, time performance and environmental
considerations. A time penalty parameter is introduced to simulate the real coal
transportation behavior through the mathematical model. The breakeven point
for tax rate is 13 dollars per ton, which can provide minimum carbon emission
without increasing the transportation cost.
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