2015 Informs Annual Meeting

WB61

INFORMS Philadelphia – 2015

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, aabolhas@mix.wvu.edu, 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, vijayakumar.ashwin@gmail.com, 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 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, Krystel.Castillo@utsa.edu 1 - An Integrated Biofuel Supply Chain Design Stochastic Model Including Biomass Quality Variability Krystel Castillo, Greenstar Assistant Professor In Energy, The Krystel.Castillo@utsa.edu, 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, seksiog@clemson.edu, 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. University of Texas at San Antonio, One UTSA Circle, San Antonio, TX, 78249, United States of America, Kejia Hu, Kellogg School of Management, Northwestern University, 2169 Campus Drive, Evanston, United States of America, k-hu@kellogg.northwestern.edu, Sunil Chopra

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, shuang@iastate.edu, 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, bknueven@utk.edu 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, bknueven@utk.edu, 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, Elaine.Hale@nrel.gov, 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, wzw121@psu.edu, 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, suzanne.detreville@unil.ch 1 - Supply Contracts Design in Decentralized Assembly Systems with Asymmetric Information Yanfei Lan, Tianjin University, College of Management and Economics, Tianjin, China, lanyf@tju.edu.cn, 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.

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