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SA43 3 - Freight Origin-destination Estimation using Bayesian Networks Based on Multiple Data Sources Yinyi Ma, Erasmus University Rotterdam, Burg. Oudlaan 50, Rotterdam, Netherlands, yma@rsm.nl, Roelof Kuik, Henk van Zuylen Freight origin-destination (OD) estimation becomes increasingly important. Traditional general traffic OD estimation methods based on loop detectors have the under-specification problem. This paper investigates a Bayesian Networks approach for estimating freight OD-matrices by Markov-chain-Monte-Carlo methods, thereby mitigating under-determinacy by exploiting proportionallycontributing multiple data sources, such as camera, Bluetooth and Weigh-in-Motion. 4 - Simulation and Multi-objective Optimization Combining Framework for Container Terminal Optimization Zhougeng Lin, PhD Student, University of Portsmouth, Lion Gate Building, Lion Terrace, Portsmouth, PO1 3HF, United Kingdom, Zhougeng.Lin@Port.Ac,Uk, Dylan Jones This presentation proposes a combining framework to integrate simulation and multi-objective optimization(MOO) for better description of dynamic real-world systems in low cost and reasonable computational time. A case study on container terminal equipment optimization is discussed to demonstrate its applications. Results are compared by post-MOO structure and integrated MOO structure. ■ SA43 43- North 228 A- CC RAS Student Paper Award Sponsor: Railway Applications Sponsored Session Chair: Juan Morales, BNSF Railway, TX, United States of America, Juan.Morales@BNSF.com 1 - RAS Student Paper Award Juan Morales, BNSF Railway, TX, United States of America, Juan.Morales@BNSF.com Finalists of the 2012 RAS Student Paper Award will present their work in this session. Finalists were not determined prior to the abstract submission deadline of the printed programs. ■ SA44 44- North 228 B- CC Supply Chain Structures and Incentives Contributed Session Chair: Suleyman Demirel, PhD Candidate, University of Michigan, 701 Tappan St., Ann Arbor, MI, 48109, United States of America, sdemirel@umich.edu 1 - Agile Supply Chain Building via Semantic Supplier Search Jaehun Lee, POSTECH, 312, Eng4, POSTECH, Hyoja, Pohang, Korea, Republic of, jaehun_lee@postech.ac.kr, Taejong Yoo, Hyunbo Cho, Bohyun Kim The goal of a supply chain in manufacturing domain is to guarantee that the right amount of the right product is in the right place at the right time. To accomplish this, an agile supply chain formation is critical. We propose a semantic manufacturing supplier discovery framework that structuralizes buyer’s demand requirements and supplier’s capability information to assist in building such a supply chain. 2 - Supply Network Structure and Firm Innovation: An Empirical Investigation Marcus Bellamy, Georgia Institute of Technology, 800 West Peachtree ST NW, Atlanta, GA, 30308, United States of America, marcus.bellamy@gatech.edu, Soumen Ghosh, Manpreet Hora We investigate the impact of supply network structure on firm innovation. Using a network-analytic lens, we develop and test our hypotheses linking firm level network properties and innovation. Our analysis considers how firm innovation is affected through the extended network it shares between each entity in the supply network. INFORMS Phoenix – 2012 70 3 - The Effect of a Temporary Product Distribution Channel on Supply Chain Performance Moutaz Khouja, Professor, University of North Carolina-Charlotte, 9201 University City Blvd., Charlotte, NC, 28223, United States of America, mjkhouja@uncc.edu We analyze a supply chain of a manufacturer and two retailers. The first retailer always stocks the product. The second retailer is a deal-of-the day (DOTD) retailer who sells the product for a short time of few days at a discount. The DOTD retailer sells the product at a discount due to a price discount she gets for ordering a large quantity. We identify the discounted wholesale price and the discount order quantity. We find that he temporary channel can increase the profit of the manufacturer. 4 - Revisiting Interorganizational Trust: Is More Always Better or Could More Be Worse? Veronica H. Villena, Assistant Professor, Pennsylvania State University, 410 Business Building, University Park, State College, PA, 16802, United States of America, vhv1@psu.edu, Thomas Choi, Elena Revilla We conduct a more comprehensive examination of trust by considering both its positive and negative effects and by investigating how they function differently under different types of uncertainties.We use data from a sample of 133 buyersupplier relationships. The results suggest that the negative effects of trust become more notable when there is high behavioral uncertainty between buyers and suppliers and less evident when there is high environmental uncertainty for buyers. ■ SA45 45- North 229 A- CC JFIG Paper Competition I 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. ■ SA46 46- North 229 B- CC Organizational and Industry Renewal (I): Innovation, Industry Context, and Population-Level Learning 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 - Exploring Organizational Identity and Organizational Design in Technological Transitions Mary Tripsas, Associate Professor, Harvard Business School, 219 Rock Center, Soldiers Field Rd, Boston, MA, 02163, United States of America, mtripsas@hbs.edu Innovation research suggests that a separate new technology unit with its own identity increases the odds of a successful technological transformation. Identity research, however, has shown that multiple identities can be harmful, posing a dilemma. Through a comparison of FujiFilm and Polaroid’s reactions to digital imaging, we propose that establishing a separate new technology unit can cause dormant identity conflicts to surface, and reconciling those conflicts is critical to success.
2 - Ties that Bind? The Differential Ability of de alio and de novo Firms to Leverage External Relations Glenn Hoetker, Associate Professor, W.P. Carey School of Business, Arizona State University, P.O. Box 874006, Tempe, AZ, 85287- 4006, United States of America, Glenn.Hoetker@asu.edu, Pao-Lien Chen, Rajshree Agarwal External relationships may help a firm learn about disruptive technological changes, but may also impede the firm’s adopting new technologies. We examine the impact of a firm’s pre-entry experience on its dynamic capability to maximize learning and minimize inertia created by ties to suppliers. We find that de alio firms better harness information available through a larger network of suppliers than de novo firms, but are equally constrained by the length of prior relationships. 3 - Whose Side Are You On? The Role of States in Influencing Healthcare Service Delivery Innovations Scott Feyereisen, 4666 East Camino Rosa, Tucson, AZ, 85718, United States of America, feyerbal@email.arizona.edu, Joseph Broschak We explore why all U.S. states would not adopt a seemingly rational, efficient and cost-reducing policy innovation. Using institutional and resource dependence theory, we develop and test hypotheses related to a state’s propensity to adopt contested healthcare legislation. Professional power and heterogeneity, state resources and prior state adoptions are hypothesized to affect a state’s likelihood of adopting a policy change. We test our predictions using data on anesthesia policy adoptions. 4 - Population-Level Learning: Industry-Level Variability of Learning Outcomes from Innovations Andreas Schwab, Associate Professor, Iowa State University, 3315 Gerdin, Ames, IA, 50011, United States of America, aschwab@iastate.edu, Jay O’Toole, Anne Miner This study investigates industry-level variability in learning outcomes following the implementation of an innovation. We challenge the intuition that early periods are marked by more variation than later periods. Contingency factors that shape variability include varied imitation rules, deliberate innovation, and interactions across innovation features and levels of learning. We test hypotheses using historic data on the farm-system, an administrative innovation in baseball industry. ■ SA47 47- North 230- CC New Advances in Traffic Operations Sponsor: Transportation Science & Logistics/ Intelligent Transportation Systems (ITS) Sponsored Session Chair: Carolina Osorio, Assistant Professor, Massachusetts Institute of Technology, Room 1-232, 77 Massachusetts Avenue, Cambridge, MA, 02139, United States of America, osorioc@mit.edu 1 - Combining Metamodel Techniques and Bayesian Selection Procedures to Derive Computationally Efficient Traffic Management Algorithms Hoda Bidkhori, Massachusetts Institute of Technology, 77 Massachusetts Ave., Room 1-172, Cambridge, MA, 02139, United States of America, bidkhori@mit.edu, Carolina Osorio This talk introduces simulation-based optimization (SO) methods to address the problems in Traffic Management. It proposes an SO technique that uses metamodel information together with a Bayesian framework, where the parameters of the prior distributions are estimated based on probabilistic metamodel information. In order to derive an SO algorithm that achieves a good trade-off between detail, realism and computational efficiency, the metamodel combines information from a highresolution traffic simulator with information from a lower-resolution yet computationally efficient analytical queueing network model. We use this approach to address an urban traffic management problem using a detailed microscopic traffic simulator of the Swiss city of Lausanne. 2 - Application of Online DTA Framework for Weather-related Traffic Management Hani S. Mahmassani, Northwestern University, Evanston, IL, 60208, United States of America, masmah@u.northwestern.edu, Ying Chen, Jiwon Kim, Lan Jiang Weather-related traffic management through variable message signs, speed control and active demand management is an important application for predictive traffic estimation and prediction based on online DTA deployments. A framework and associated methodology is presented and demonstrated through several applications. INFORMS Phoenix – 2012 71 SA48 3 - On Observable Chaotic Maps for Transportation Queueing Analysis Joseph Y.J. Chow, Assistant Professor, Ryerson University, 350 Victoria Street, Toronto, ON, M5B 2K3, Canada, joseph.chow@ryerson.ca Chaotic mapping can capture a number of characteristics in queues: transient behavior, intermittency, steady state, and complex distributions. The proposed queueing model uses chaotic mapping of inter-arrival times to generate arrivals so that parameters can be calibrated with observable data. A sample mapping based on the logistic map is presented and shown to be ergodic. A joint parameter and state estimation algorithm is presented. The advantages are studied with two connected nodes. ■ SA48 48- North 231 A- CC Maritime Transportation Contributed Session Chair: Dimitri Papageorgiou, PhD Candidate, Georgia Tech, 765 Ferst Ave, Atlanta, GA, 30332, United States of America, djpapag@gatech.edu 1 - Evaluation of Intermodal Marine Container Terminal Gate Strategies via Simulation Jeffery Karafa, University of Memphis, 104 Engineering Science Bldg, 3815 Centr, 3815 Central Avenue, Memphis, TN, 38152, United States of America, jefferykarafa@yahoo.com, Mihalis Golias We present the development of a traffic simulation model to measure the impact of gate strategies on congestion levels at intermodal marine container terminal gates. The traffic model is used to quantify both travel time and delay and emission levels at the terminal gates before and after gate strategies have been implemented. 2 - Equilibrium Model for Analysis on Opening and Improving Transportation Routes Kazuhiko Ishiguro, Kobe University, 5-1-1, Fukaeminami, Higashinada, Kobe, 658-0022, Japan, ishiguro@maritime.kobe-u.ac.jp, Pitu Mirchandani Transport cost reduction will trigger new transport demand. This study develops international trade model taking account of ocean carriers’ behavior based on multi-regional computable general equilibrium framework. Trade amount is formulated as the demand of goods produced in other region. The model is applied to opening and improving transportation routes and the impacts on trade are discussed. 3 - Quickly Finding Good Solutions to Large-scale Maritime Inventory Routing Problems Dimitri Papageorgiou, PhD Candidate, Georgia Tech, 765 Ferst Ave., Atlanta, GA, 30332, United States of America, djpapag@gatech.edu We describe aggregation and decomposition techniques for quickly finding good solutions to large-scale maritime inventory routing problems. Solving the LP relaxation of the “standard” mixed-integer programming formulation of these problems can require hours to solve, assuming they can be loaded into memory. Meanwhile, our goal is to find high quality solutions in minutes. We present methods that accomplish this objective and compare them to two benchmarks that have been used in the literature.
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