INFORMS Philadelphia – 2015
419
2 - Dynamic Energy Inventory Management for
Wastewater Treatment
Jing Ma, Ph.d Candidate, Stanford University, 145M, 475 Via
Ortega, Stanford, CA, 94305, China,
jingma@stanford.edu,
Craig Criddle, Erica Plambeck, Sebastien Tilmans
In this work we aim to optimize energy production and consumption to boost
revenue for Wastewater treatment plants. Specifically, using the data from Plants
in San Francisco, we analyze the potential benefits of controlling the magnitude
of influent sewage pumping rate to minimize energy cost or total emission. We
also suggest an easy-to-implement heuristic for Wastewater treatment plants.
3 - Dynamic Regulatory Distortion: Coal Procurement at
U.S. Power Plants
Akshaya Jha, Assistant Professor, Carnegie Mellon University,
5000 Forbes Avenue, Pittsburgh, PA, 15213,
United States of America,
akshayaj@stanford.eduI estimate a dynamic, plant-level model of coal purchase with storage for U.S.
electricity generation plants. Holding constant the plant’s pattern of input prices
and output, I find that it costs a regulated plant roughly 3% more per month to
procure coal relative to the same plant facing market prices. This 3% increase in
costs stems primarily from dynamic distortions to when and how often regulated
plants purchase coal, rather than static differences in the level of coal stockpiles
held.
WB58
58-Room 110A, CC
Non-Convex Equilibrium Problems
Sponsor: ENRE – Energy II – Other (e.g., Policy, Natural Gas,
Climate Change)
Sponsored Session
Chair: Miguel Anjos, Polytechnique Montreal, Mathematics and
Industrial Engineering, Montreal, Canada,
miguel-f.anjos@polymtl.ca1 - An RIT Approach for Solving the Binary-constrained Mixed Linear
Complementarity Problem
Franklin Djeumou Fomeni, Postdoc, Ecole Polytechnique
Montreal, 5960 Rue Dumas, Montreal, QC, H4E 2Z6, Canada,
franklin@aims.ac.za, Miguel Anjos, Steven Gabriel
The BC-MLCP is a formulation of the MLCP in which some variables are
restricted to be binary. This paper presents a novel approach for solving the BC-
MLCP. First we solve a series of LPs that enables us to replace the
complementarity constraints with linear equations. Then we solve an equivalent
MILP formulation of the BC-MLCP to guarantee a solution to the problem. Our
computational results on a variety of test problems demonstrate the usefulness
and effectiveness of our novel approach.
2 - Energy Pricing Problems for Demand Side and
Revenue Management
Luce Brotcorne, INRIA, Parcs Scientifique de la Haute Borne,
40 Avenue Halley, Bat-B Park Plaza,, Villeneuve d ascq, 59650,
France,
luce.brotcorne@inria.fr, Sezin Afsar, Patrice Marcotte,
Gilles Savard
Pricing models for demand side management methods are traditional used to
control electricity demand which became quite irregular recently and resulted in
inefficiency in supply. We propose bilevel models to explore the relation and
between energy suppliers and customers who are connected to a smart grid. This
approach enables to integrate customer response into the optimization process of
supplier who aims to maximize revenue or minimize capacity requirements.
Numerical results are given.
WB59
59-Room 110B, CC
Strategy/Strategic Planning I
Contributed Session
Chair: Mukesh Rungta, Research Scientist, Air Liquide, 200 GBC Dr,
Newark, DE, 19702, United States of America,
mukeshrungta@gmail.com1 - Organizational Decision-making and Information:
Angel Investments by Venture Capital Partners
Andy Wu, PhD Candidate in Applied Economics, The Wharton
School of the University of Pennsylvania, 3620 Locust Walk,
Suite 3000, Philadelphia, PA, 19104, United States of America,
andywu@wharton.upenn.eduWe study the role of information in organizational decision-making for the
financing of entrepreneurial ventures. We formally model a decentralized set of
agents who can acquire costly information and vote to allocate resources to an
uncertain project. We test our predictions in the setting of venture capital, where
partners make their own angel investments. We find the venture capital partners,
acting independently, make riskier investments, but have equivalent financial
performance.
2 - Alliance Diversity and Multilateral Strategic Alliance Performance:
A Faultline Perspective
Angelo Solarino, City Univeristy of Hong Kong, Chee Avenue,
Kowloon, Hong Kong, Hong Kong - PRC,
mgangelo@cityu.edu.hk,Tao Bai
We examine the effects of alliance diversity on alliance performance from a
faultline perspective. We assess how firms’ interacting multiple attributes
influence the alliance performance jointly. We differentiate demographic from
informational faultlines and tested their effects based on global pharmaceutical
alliances. Contrary to previous studies, we find that both kinds of faultlines
positively influence the alliance performance. Theoretical and methodological
implications are discussed.
3 - Effects of Regional, National and Subnational Institutions
On Firm Performance – Meta-analysis
Tao Bai, Assistant Professor, Xi’an Jiaotong-Liverpool University,
Suzhou Industrial Park, Suzhou, China,
baitao2010@gmail.com,
Angelo Solarino, Frank Mcdonald
There has been a growing attention to globalization-regionalization debate in
international business. To better answer the phenomenon, we conduct a meta-
analysis to assess the strengths of supranational, national, and subnational
institutions on firm performance. We further explore the moderating effect of
international relations between countries, industry, and firm size, to help
clarifying the research landscape. Theoretical implications and future research
opportunities are discussed.
4 - Strategic Sourcing in the Industrial Gas Bulk Supply Chain
Mukesh Rungta, Research Scientist, Air Liquide,
200 GBC Dr, Newark, DE, 19702, United States of America,
mukeshrungta@gmail.comIn a vendor managed inventory context, effective strategic sourcing is particularly
important and can have significant impact on operational costs. Within the
context of the industrial gas supply chain, this presentation will focus upon the
assignment of customers to production sources and transportation depots in order
to minimize the total landed cost subject to production and distribution
constraints. A methodology will be outlined and example cases discussed.
5 - Vertical Integration, Industry Relatedness, and the Agglomeration
of Multi-business Firms
Juan Alcacer, Harvard Business School, Soldiers Field, Boston,
United States of America,
jalcacer@hbs.edu,Jasmina Chauvin
We provide new insights into firm boundary decisions by comparing location
strategies of multi-business and single-business firms in the same industry. We
find that establishments belonging to multi-business firms agglomerate more, and
the difference is related to the potential for sharing of labor resources. Our results
suggest that strategic decisions about the geographic and product boundaries of
the firm are intimately related, and that resource sharing is implicated in both
decisions.
WB60
60-Room 111A, CC
Green Manufacturing
Contributed Session
Chair: Kejia Hu, Kellogg School of Management, Northwestern
University, 2169 Campus Drive, Evanston, United States of America, k-
hu@kellogg.northwestern.edu1 - Electrical Demand Elasticity of Industrial Loads
Mostafa Ghafoorivarzaneh, University of Tennessee-Knoxville,
851 Neyland drive, 511 John D. Tickle Building, Knoxville, TN,
37996, United States of America,
mghafoor@utk.edu,
Rupy Sawhney
In the first phase, an optimization model will be introduced for production
planning which considers different states of energy consumption (idle, working,
setup, startup states) in addition to traditional production planning parameters. In
the second step, a DOE will be developed based on real data of production, energy
consumption and historical data of LMP. As the result distribution of elasticity and
elasticity matrix will be introduced as a function of production parameters.
WB60