INFORMS Philadelphia – 2015
164
3 - Efficiency Analysis of Internal Combustion Engines:
Naturally Aspirated vs Turbo/super-charged
Dong-Joon Lim, Portland State University, 1900 SW 4th Ave,
Suite LL-50-02, Portland, OR, United States of America,
dongjoon@pdx.edu, Tim Anderson
This study investigates the technical efficiency of NA and T/SC engines to identify
varying technology adoption patterns as well as breakthrough engines over the
past 10 years. The results indicate that T/SC engines are enlarging their
dominance on the technology frontier and if current environmental and fuel
economy regulations continue to be stiffer, a return to high displacement
unblown engines is unlikely to happen without a major breakthrough in the NA
technologies.
MA56
56-Room 109A, CC
Facility Location and Supply Chain Network Design
Sponsor: Location Analysis
Sponsored Session
Chair: Kayse Lee Maass, Ph.D. Candidate, University of Michigan,
1205 Beal Ave., Ann Arbor, MI, 48109, United States of America,
leekayse@umich.edu1 - Selective Newsvendor Problem with Quantity-dependent
Leadtime and Marketing Decisions
Jianing Zhi, The University of Alabama, 300 Alston Hall, 361
Stadium Drive, Tuscaloosa, AL, 35487, United States of America,
jzhi@crimson.ua.edu,Burcu Keskin
We consider a selective newsvendor problem with limited sales force and
quantity-dependent leadtime to maximize the expected profit for a company. We
evaluate our models with demands, capabilities of agents, leadtime, and waiting
time tolerance of customers to estimate their impacts on the profit, ordering
policies, and marketing decisions.
2 - Constrained Connected Facility Location Problems
Maria Gisela Bardossy, Assistant Professor, University of
Baltimore, 1420 N. Charles Street, Merrick School of Business,
Baltimore, MD, 21201, United States of America,
mbardossy@ubalt.eduWe investigate and propose heuristics for two variants of the Connected Facility
Location (ConFL) problem: degree constrained and hop constrained. The ConFL
problem combines features of the uncapacitated facility location problem with the
Steiner tree problem and is known to be NP-complete. However, in certain
practical applications, the number of connections at the facility nodes and/or the
connections between open facilities is limited, which we address in this
presentation.
3 - A Supply Chain Network Design Problem Considering
Market Cannibalization
Yanzi Zhang, Tsinghua University, Beijing, China,
zhzhang@mail.tsinghua.edu.cnThe paper studies a supply chain network design problem with cannibalization of
new products sales by remanufactured products. Location, inventory, and pricing
decisions are considered in a two-tier supply chain network. New and
remanufactured products are supplied together with price-dependent demands.
The cannibalization effect of them is considered. The problem is formulated as a
nonlinear program. Managerial insights are explored by numerical experiments.
4 - Stochastic Inventory Modulated Capacitated Facility
Location Models
Kayse Lee Maass, Ph.D. Candidate, University of Michigan,
1205 Beal Ave., Ann Arbor, MI, 48109, United States of America,
leekayse@umich.edu, Mark Daskin, Siqian Shen
We compare various approaches to modeling a stochastic capacitated facility
location problem in which processing facilities are able to accept demands in
excess of the capacity constraint for short periods of time. We show that the
location and allocation decisions obtained from our models can result in
significantly reduced costs when compared to models that do not account for the
likelihood that demands may exceed capacity on some days.
MA57
57-Room 109B, CC
Optimization for Wind Energy
Sponsor: ENRE – Energy II – Other (e.g., Policy, Natural Gas,
Climate Change)
Sponsored Session
Chair: Zana Cranmer, University of Massachusetts, Amherst, MA,
acranmer@umass.edu1 - Lagged Processes and Nested Decisions:
Modeling for Renewables
Warren Powell, Faculty (Advisor), Princeton University, Sherrerd
Hall, Charlton Street, Princeton, NJ, 08540, United States of
America,
powell@princeton.edu, Weidong Han, Genna Gliner,
Hugo Simao
The proper modeling of wind integration in an energy system requires modeling
the lags between when decisions are made and when they are implemented, the
evolution of forecasts (and forecast accuracy), as well as the nesting of decisions.
We describe how to correctly model these problems, and contrast our approach
with popular modeling and algorithmic strategies currently used in the study of
wind integration. We describe how modeling inaccuracies can lead to errors in
policy conclusions.
2 - Modeling Economic and Environmental Tradeoffs in Offshore
Wind Development
Zana Cranmer, University of Massachusetts, Amherst, MA,
acranmer@umass.edu,Erin Baker
Using a portfolio model to capture interactions between siting choices, we can
estimate the impact of different environmental policies on the economic value of
the wind resources in an area. Policies include site restrictions, maximizing
continuous space for ecosystems, and establishing set backs from hot spots.
3 - Optimizing Storage Technologies to Add Value to Wind Energy
Jessika Trancik, Massachusetts Institute of Technology,
Cambridge, MA, United Statesof America,
trancik@mit.eduEnergy storage can increase the value of wind energy if costs are sufficiently low.
Evaluating diverse storage technologies on a common scale has proven a chal-
lenge, however, due to their differing cost structures. Here we present a new
conceptual and quantitative model for comparing storage technologies. Some
storage technologies today are found to add value to wind energy in some loca-
tions, but cost reduction is needed to reach widespread profitability.
4 - Understanding How Generation Flexibility and Renewable Energy
Affect Power Market Competition
Owen Wu, Indiana University, 1309 E. 10th Street, Bloomington,
IN, 47405, United States of America,
owenwu@indiana.edu,Xiuli Chao, Majid Algwaiz
We study supply function competition among power generators with different
levels of flexibility. We analyze how generators’ (in)flexibility affects the
equilibrium behavior and market price. We also investigate the impact of
intermittent renewable energy on the equilibrium, focusing on the effects of
renewable energy penetration level, dispatch priority, and the production-based
subsidies. We find that the economic curtailment policy increases market
competition and reduces price volatility.
MA58
58-Room 110A, CC
Analytics in the Petrochemical and Petroleum
Industries I
Sponsor: ENRE – Natural Resources II – Petrochemicals and
Petroleum
Sponsored Session
Chair: Margery Connor, Chevron, 6001 Bollinger Canyon, F-2080,
San Ramon, CA, 94583,
MHCO@chevron.com1 - Hydrocarbon Procurement with Take-or-Pay Contracts
Metin Cakanyildirim, Professor, University of Texas at Dallas,
800 W. Campbell Road SM30, Richardson, TX, United States of
America,
metin@utdallas.edu,Koray Simsek, Cagri Haksoz
This paper studies a take-or-pay procurement contract for petrochemicals in the
presence of spot market trading and storage capability in a dynamic setting. Main
decisions are purchase and storage quantities and their relation with the take-or-
pay penalty and net convenience yield. A computationally efficient formulation is
sought and analyzed.
MA56