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SB42 2 - Regulated Design & Pricing in the New Vehicle Market William Morrow, Assistant Professor, Iowa State University, 2104 Black Engineering Building, Ames, IA, 50011-2161, United States of America, wrmorrow@iastate.edu, Josh Mineroff, Kate S. Whitefoot Regulations influence vehicle design and pricing. However, few models of policy impacts include strategic design decisions in response to regulation. This talk describes simulation of equilibrium design and pricing decisions under regulation. Examples are given for the new vehicle market and associated fuel economy standards. Our results demonstrate that simulations that neglect strategic behavior may overestimate the effectiveness of current policy approaches. 3 - The Rebound Effect and its Implications on Obama’s Plan for a Clean Energy Future Eric O’Rear, Graduate Student, Purdue University, 403 W. State Steet, West Lafayette, IN, 47907, United States of America, eorear@purdue.edu, Wallace Tyner, Kemal Sarica Our paper will compare the impacts of Obama’s modifications to CAF… standards, with a more efficient carbon tax generating a similar level of CO2 reductions. Further, we intend to capture the impacts of the “rebound effect” phenomenon associated with a mandate for a higher fuel economy on the U.S. energy system. We utilize the U.S. EPA MARKAL model - a bottom-up, linear programming (LP), partial equilibrium model – to replicate and compare the policies aligned with our interests. 4 - Optimal Number of Certificates to be Issued in Emission Markets Cristian Pelizzari, University of Brescia, Contrada Santa Chiara, 50, Brescia, 25122, Italy, pelizcri@eco.unibs.it, Falbo Paolo The price of allowances in the EU ETS is linked to the value of the expected penalty for the CO2 produced in excess by diverse economic players. Too severe environmental policies cause a rise in the price of allowances. The compliance of such objectives can increase production costs causing inflation and loss of competitiveness. A stochastic programming model is advanced where the regulatory authority trades-off economic growth with environmental targets, influencing the choices of the players by means of the number of allowances to be issued. ■ SB42 42- North 227 C- CC Tactical Issues in Freight Transportation Contributed Session Chair: Mihalis Golias, University of Memphis, 104 Engineering Science Bldg, 3815 Centr, Memphis, 38152, United States of America, mgkolias@memphis.edu 1 - Model Slection for Shipper’s Mode Coice Subhro Mitra, Assistant Professor, University of North Texas, University Hills Blvd., Dallas, TX, 75241, United States of America, subhro.mitra@unt.edu, Ali S. Shaqlaih This paper presents discrete choice models developed to determine the probability of mode choice between railroad and truck, based on revealed preference data. Utility functions are formulated using the attributes of the modes, shippers and interaction between the two. The choice probability is initially estimated assuming the random component to have a logit distribution. The model is further developed assuming the stochastic component to have heteroscedastic and probit distribution. 2 - Efficient Heuristic for Auto-carrier Loading Problem Saravanan Venkatachalam, Research Associate, Texas A&M University, 304A Fermier Hall, 3367 TAMU, College Station, TX, 77843, United States of America, saravanan@entc.tamu.edu, Arunchalam Narayanan, Bimal Nepal This belongs to a special group of logistics problem, as it needs solution for two NP-hard subproblems, namely routing and loading. There are several efficient methods for the routing part, but very few for the loading aspect. Existing methods in literature concentrate on the cost of loading and reloading and approximate the geometric, weight, and mechanical constraints of the vehicles. We demonstrate the application of a new heuristic which incorporates all these loading constraints. 3 - Load Mixing with Freight Due Dates Sarah Root, Assistant Professor, University of Arkansas, 4207 Bell Engineering Center, Fayetteville, AR, 72701, United States of America, seroot@uark.edu, Crystal Wilson The underutilization in trucking leads to nearly 5 billion gallons of wasted fuel annually. One way to recapture part of this waste is to use collaborative logistics. This research focuses on one specific aspect of collaborative logistics: load mixing. Load mixing is the idea of mixing two or more items of different weights in the INFORMS Phoenix – 2012 94 same container to reduce the number of trucks needed. In this research we explore the impact of product due dates on the mixing of commodities to more utilize trucks. We propose heuristics to solve this problem, and present computational results from this work. 4 - Cost-stable Truck Scheduling at a Cross-dock Facility with Unknown Truck Arrivals Mihalis Golias, University of Memphis, 104 Engineering Science Bldg, 3815 Centr, Memphis, 38152, United States of America, mgkolias@memphis.edu, Dincer Konur We study a cross-dock operator’s truck scheduling problem at inbound doors in case of unknown truck arrival times. Due to uncertainty of truck arrivals, a scheduling strategy is defined as a schedule with low variation levels. A biobjective optimization problem is formulated and we discuss a genetic algorithm based heuristic to find Pareto efficient schedules. The proposed approach is compared to first-come-first-served policies. ■ SB43 43- North 228 A- CC RAS Problem Solving Competition Sponsor: Railway Applications Sponsored Session Chair: Kamalesh Somani, Manager Operations Research, CSX Transportation, 500 Water St, Jacksonville, FL, 32202, Kamalesh_Somani@csx.com 1 - Movement Planner Algorithm Design for Dispatching on Multi-Track Territories Kamalesh Somani, Manager Operations Research, CSX Transportation, 500 Water St., Jacksonville, FL, 32202, Kamalesh_Somani@csx.com A dispatcher’s task is to give track authorities to trains to maximize overall system efficiency while abiding by a number of business rules. This is done by deciding which train takes the siding when two trains traveling in opposite directions meet each other, or when a faster train is to overtake the leading slower train. They must also decide on the departure and hold times at the yard where train originate terminate or stop for work events. The three finalists will compete at this session. ■ SB44 44- North 228 B- CC Topics in Supply Chain Management Contributed Session Chair: Tracy Johnson-Hall, Assistant Professor, Mason School of Business, College of William & Mary, P.O. Box 8795, Williamsburg, VA, 23187-8795, United States of America, tdjohns@clemson.edu 1 - Isomorphism Pressures and Management Support: An Empirical Investigation in Supply Chain Security Guanyi Lu, PhD Candidate, Mays Business School at Texas A&M University, 320N, 4217 TAMU, College Station, TX, 77843-4217, United States of America, glu@mays.tamu.edu, Xenophon Koufteros This study examines the antecedents and consequences of supply chain security practices. Data analyses based on 193 U.S. firms suggest that only normative and performance pressures have a sizable effect on top management support toward security (TMS). The results also show that TMS affects proactive and contingency planning which have strong positive effects on security performance. 2 - Motivation of Time Compression Diseconomies on Transitory Network Collaborations Adrian Tan, PhD Candidate, Wilfrid Laurier University, 75 University Avenue West, Waterloo, ON, N2L 3C5, Canada, tanx1410@mylaurier.ca, Hamid Noori Time-based competition is increasingly used across multiple industries as a basis for strategic advantage. However, the challenge of time compression diseconomies constraint companies from building internal resources for competitive purposes as rapidly as might be desirable. An empirical study to assess if companies can meet the challenge by engaging in transitory network collaborations is presented.
3 - Time to Recall: A Duration Analysis Model of Recall Strategies and Effectiveness Tracy Johnson-Hall, Assistant Professor, Mason School of Business, College of William & Mary, P.O. Box 8795, Williamsburg, VA, 23187-8795, United States of America, tdjohns@clemson.edu, Manpreet Hora, Aleda Roth We study the role of supply chain characteristics and strategies adopted by firms during product recalls and their association with time to recall for perishable goods, specifically food products. We employ a duration analysis to examine this association. We discuss our results and their implications for firms, consumers and policy-makers. 4 - Order Quantity Variability in Perishable Product Supply Chains Stefan Minner, Professor, Technische Universitat München, TUM School of Management, Arcisstr 21, Munich, 80333, Germany, stefan.minner@tum.de, Sandra Transchel We analyze orders for perishable products under customer reactions to stockouts and inventory issuing policies. Variability of order quantities is lower than demand variability and implies a reduced bullwhip effect. We show that different combinations of stockout and issuing policies exhibit different order quantity variability with increasing service level and discuss a choice game where supplier and retailer can choose between the available options of stockout and depletion policy. ■ SB45 45- North 229 A- CC JFIG Paper Competition II Sponsor: Junior Faculty Interest Group Sponsored Session Chair: Esra Buyuktahtakin, Assistant Professor, Wichita State University, IME Department, Wichita, KS, United States of America, esra.b@wichita.edu 1 - JFIG Paper Competition Esra Buyuktahtakin, Assistant Professor, Wichita State University, IME Department, Wichita, KS, United States of America, esra.b@wichita.edu Papers are submitted for this year’s JFIG paper competition, and each one is evaluated based on the importance of the topic, appropriateness of the research approach, and the significance of research contribution. In this session, finalistsselected in two rounds of review, will present their papers. For the selected finalists and the abstracts of the selected papers, please refer to the online program. ■ SB46 46- North 229 B- CC Organizational and Industry Renewal (II): Legitimacy, Social Norms, and Environmental Dynamics Sponsor: Organization Science Sponsored Session Chair: Andreas Schwab, Associate Professor, Iowa State University, 3315 Gerdin, Ames, IA, 50011, United States of America, aschwab@iastate.edu 1 - The Entrepreneur as David on Horseback Joseph Broschak, Associate Professor, University of Arizona, Eller College of Management, Department of Management & Organizations, Tucson, AZ, 85721, United States of America, broschak@email.arizona.edu, Kenneth Koput We investigate the role of social identity, information sources, and networks on new technology adoption. In the horse industry, the horseshoe is a pathdependent technology. Most horses are shod with the steel keg shoe that has been the dominant design since the 1800s, despite widespread changes in how horses are owned, kept, and used, and alternative shoe designs. Using survey data of horse owners, we explore how different social influence variables affected technology adoption decisions. INFORMS Phoenix – 2012 95 2 - When Practices Diffuse in a Bubble: Reverse Mergers and the Internet Wave Peggy Lee, WP Carey-ASU, 300 E. Lemon St., Tempe, 85287, United States of America, Peggy.Lee@asu.edu, Ivana Naumovska, Edward Zajac We theoretically and empirically examine the diffusion process in a bubble context. In doing so, we synthesize information-based theories of imitation with institutional theory to explain the growth and decline of reverse mergers (RM) of internet firms during the time of the internet wave (1998-2000). Our results show a clear two-stage pattern, with early RMs done by established firms, and late RMs done by fledgling firms. We also find evidence of an early mover advantage. 3 - The Dynamic Mdel of Onership Hterogeneity and Corporate Social Responsibility Nai Hua Wu, Texas A&M University, 4221 TAMU, College Station, TX, 77843, United States of America, nwu@mays.tamu.edu, David Sirmon Research in corporate social responsibility (CSR) has focused mainly on managerial discretion or stakeholders. We intend to fill the gap by addressing CSR from the corporate governance perspective, specifically, the effect of ownership heterogeneity. Based on multiple agency theory, we predict that dedicated institutional owners and family owners are positively related to CSR performance, whereas transient institutional owners have negative influence. Our initial results support our predictions. 4 - Redirecting Attention: Overcoming the Illegitimacy Discount Eric Yanfei Zhao, University of Alberta, 2-24 Business Building, U. of Alberta Business School, Edmonton, AB, T6G 2R6, Canada, ericy.f.zhao@gmail.com, Michael Lounsbury How can organizations spanning rigid categories solve the dilemma of sameness and difference and gain attention and favorable evaluation from audiences? In this paper, we argue that organizations can deploy cultural resources such as name to overcome audience inattention and legitimacy deficit due to category spanning. We tested and found support for this proposition using a sample of films released in the U.S. market between 1982 and 2007. ■ SB47 SB47 47- North 230- CC Traffic Control Schemes and Application I Sponsor: Transportation Science & Logistics/ Intelligent Transportation Systems (ITS) Sponsored Session Chair: Yang Cheng, Research Associate, University of Wisconsin- Madison, 2204 Engineering Hall, Madison, WI, 53706, United States of America, cheng8@wisc.edu 1 - Equity Based Real Time Traffic Signal Control at Network Level using Historical Delay Information: An Application of Vehicle-to-Infrastructure (V2I) Communication H. M. Abdul Aziz, PhD Student, Purdue University, 150 Arnold Drive, Apt15, West Lafayette, IN, 47906, United States of America, haziz@purdue.edu, Satish Ukkusuri The efficiency of signal control schemes are often evaluated based on aggregate system measures only. However, efficiency does not guarantee the equity (fairness) of the system. This research proposes a signal control scheme that assures fairness (in terms of experienced intersection delay due to signal control) across the users of the system. The signal control scheme uses the historical delay information along the entire trip of the users and we propose a vehicle-toinfrastructure communication based framework for its implementation in the real world. 2 - Large Scale Traffic Signal Control: A Simulation-based Approach Carolina Osorio, Assistant Professor, Massachusetts Institute of Technology, Room 1-232, 77 Massachusetts Avenue, Cambridge, MA, 02139, United States of America, osorioc@mit.edu, Linsen Chong We propose a simulation-based optimization algorithm that efficiently solves large scale traffic signal control problems. The method is based on a metamodel approach that combines information from a detailed yet inefficient traffic simulator with information from a highly efficient and scalable macroscopic traffic model. We efficiently solve a signal control problem for the entire Swiss city of Lausanne, and derive signal plans that reduce network-wide trip travel times.
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