Background Image
Previous Page  421 / 552 Next Page
Information
Show Menu
Previous Page 421 / 552 Next Page
Page Background

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.edu

I 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.ca

1 - 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.com

1 - 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.edu

We 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.com

In 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.edu

1 - 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