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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.edu

1 - 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.edu

We 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.cn

The 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.edu

1 - 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.edu

Energy 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.com

1 - 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