Informs 2015

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INFORMS Philadelphia – 2015
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2 - Energy Performance Indicator in the Manufacturing Industry
Amir Abolhassani, Graduate Research Assistant, West Virginia
University, Industrial and Management Systems Dept., Benjamin
M. Statler College of Eng., Morgatown, WV, 26506, United States
of America, , Bhaskaran Gopalakrishnan
Energy efficiency is becoming an essential aspect of the manufacturing enterprise.
Through a series of rigorous assessments, the facilities energy performance was
classified in four basic areas of thermal and combustion systems, electrical power
and operations, motor systems, and building and grounds. Fuzzy logic is utilized
to process historical data obtained from assessments to derive manufacturing
facilities energy performance indicator.
3 - Perceptions of Indian Manufacturing Industries in Adopting Green
Supply Chain Practises -an Empirical Study
Ashwin Vijayakumar, Management Trainee, Paramount Shipping
Services, Parrys, Chennai, 600020, India,
Gopinath Bharathi,
Vivekanandhan Porselvan
The benefits of adopting green supply chain practises have been realised by
industries all over the world apart from India where it is still in it’s infancy. The
study identifies key parameters that play a direct role in adopting green practises
in industries such as manufacturing,services,pharmaceuticals etc.Process can be
optimised and profits achieved.
4 - Does “Green” Performance Affect Market Share in the Automotive
Industry? An Empirical Study
Kejia Hu, Kellogg School of Management, Northwestern
University, 2169 Campus Drive, Evanston, United States of
America, , Sunil Chopra
Our goal is to understand how “Green” performance affects market share for auto
manufacturers. Using emission data collected for 14 years from remote sensors
installed along a European inter-country highway, our analysis shows the
relationship between “Green” performance and market share to be concave.
Moreover, we find that “Green” is more significant in affecting market share
under loose standards or facing large upcoming reduction in standards.
WB61
61-Room 111B, CC
Integrated Biofuels Supply Chain Design
Sponsor: ENRE – Environment I – Environment and Sustainability
Sponsored Session
Chair: Krystel Castillo, Greenstar Assistant Professor In Energy, The
University of Texas at San Antonio, One UTSA Circle, San Antonio, TX,
78249, United States of America,
1 - An Integrated Biofuel Supply Chain Design Stochastic Model
Including Biomass Quality Variability
Krystel Castillo, Greenstar Assistant Professor In Energy, The
University of Texas at San Antonio, One UTSA Circle,
San Antonio, TX, 78249, United States of America,
, Milad Taherkhorsandi, Sandra Eksioglu
Industry maturity for advanced biofuels supply chains (SCs) faces two main
challenges: (1) quantifying and controlling biomass quality variability and (2)
moving from local to large-scale SCs to satisfy a nationwide demand. We develop
a two-stage stochastic model to (1) better represent the random nature of the
biomass quality and technology breakthroughs, and (2) assess the impact of these
uncertainties on the SC design and planning. We propose an L-shaped and a
multicut L-shaped method.
2 - Analyzing the Impact of Flexible Tax Credit Schemes on Biomass
Co-firing in Coal-fired Power Plants
Sandra Eksioglu, Clemson University, 134 Freeman Hall,
Clemson, SC, 29634, United States of America,
, Hadi Karimi
We investigate the impact of flexible tax credit schemes on biomass co-firing. We
propose mixed-integer programs to model and compare three schemes: (a) a flat
rate tax credit per kwh of renewable energy; (b) a flexible tax rate that changes
with plant capacity; (c) a flexible tax rate that is a function of the amount of
renewable energy produced. We propose a Benders decomposition algorithm to
solve the problems; develop a case study; and derive observations based on
numerical results.
3 - An Agent-based Model for Farmers Behavior and Biomass
Supply Analysis
Shiyang Huang, Iowa State University, 0076 Black Engineering,
Ames, IA, 50011, United States of America,
Guiping Hu
We build an agent-based simulation model (ABM) with a focus on the farmers’
decision making in the biofuel supply chain. The farmers face the planting
decision between conventional crops and dedicated energy crops. The ABM
model was implemented in AnyLogic and a case study in Iowa was conducted.
WB62
62-Room 112A, CC
Computational Advances in Power System Modeling
Cluster: Energy Systems: Design, Operation, Reliability and
Maintenance
Invited Session
Chair: Ben Knueven, University of Tennessee, 519 John Tickle
Building, Knoxville, TN, 37996, United States of America,
1 - Tight and Compact Formulation for a Singe Generator in
Unit Commitment
Ben Knueven, University of Tennessee, 519 John Tickle Building,
Knoxville, 37996, United States of America, ,
Bernard Knueven, Jianhui Wang
In this presentation, we will show that there exists a tight and compact
formulation for a single generator’s operating schedule. While this formulation
may not be computationally effective, it does motivate a new (loose) formulation
for the unit commitment problem. Computational experiments seem to indicate
the the new formulation can offer significant computational savings over
traditional formulations.
2 - Modeling Flexibility Investment Decisions in a Regionally-focused
Capacity Expansion Model
Elaine Hale, Senior Engineer, National Renewable Energy
Laboratory, 15013 Denver West Parkway, MS RSF300, Golden,
CO, 80401, United States of America, ,
Trieu Mai, Clayton Barrows, Anthony Lopez
The Resource Planning Model (RPM) is a capacity expansion model (CEM)
structured around a nodal focus region and a zonal representation of the
remainder of the interconnect. This paper gives an overview of RPM, including a
brief discussion of its use in analysis projects to date, and then provides detail on
recent work aimed at modeling flexibility investment decisions. This will
necessarily include a discussion of how to capture system flexibility needs in
CEMs with coarse temporal resolution.
3 - Interior Point Schemes for Unit Commitment
Wendian Wan, The Pennsylvania State University, 351 Leonhard
Building, University Park, PA, 16801, United States of America,
Uday Shanbhag
This paper presents a two-phase interior-point method solving unit commitment
problems. We examine the scalability of the scheme and compare its performance
with solutions from commercial solvers.
WB63
63-Room 112B, CC
Operations Management IV
Contributed Session
Chair: Suzanne De Treville, Professor, University of Lausanne, Faculty
of Business and Economics, Anthropole 3073, Lausanne, VD, 1015,
Switzerland,
1 - Supply Contracts Design in Decentralized Assembly Systems with
Asymmetric Information
Yanfei Lan, Tianjin University, College of Management and
Economics, Tianjin, China, , Xiaoqiang Cai,
Lianmin Zhang
This paper studies a supply contracts design problem, in which two
heterogeneous suppliers produce complement products and deliver to the
assembler, of which one is more reliable and the other is less reliable. In order to
elicit the assembler’s truthful report of private information, the two suppliers offer
a contract to the assembler, respectively. We study the cases that either supplier
moves first, as well as they move simultaneously under symmetric and
asymmetric information, respectively.
WB61