2016 INFORMS Annual Meeting Program

TA53

INFORMS Nashville – 2016

2 - A Multi-objective Optimization Model For Mitigating Community Economic Loss And Population Dislocation Weili Zhang, University of Oklahoma, 202 W. Boyd St., Room 116, Norman, OK, 73019, United States, weili.zhang-1@ou.edu, Charles Nicholson Decisions regarding allocation of limited resources to improve the infrastructure components are complex and involve various tradeoffs. In this study we develop a mathematical model that incorporates expected building damage from an earthquake, an estimate of the value of monetary loss from damaged buildings, and a likelihood of families to be dislocated based on the damage to the housing stock to determine which types of buildings should be prioritized for code level improvements given a variety of external constraints. The model is applied to the well-developed virtual city, Centerville, designed collaboratively by a team of engineering experts, economists, and social scientists. 3 - A Data-driven Approach On Training Set Optimizaton For Genomic Selection In Plant Breeding Guiping Hu, Iowa State University, guiping.hu.2011@gmail.com, Shiyang Huang We propose a data-driven approach for training set optimization in genomic selection for plant breeding. To deal with the enormous scaled genetic data, we extract specific information according to the stages of decision making. The data are processed and analyzed with different tools, including data mining and stochastic process analysis. With the analytic tool, the plant breeding process is expected to accelerate with high throughput. 4 - How To Provide Food Aid In Kenya: In Kind, Cash Or Voucher? Feyza Guliz Sahinyazan, PhD Candidate, McGill University, 1001 Sherbrooke Street West, Montreal, QC, H3A 1G5, Canada, feyza.sahinyazan@mail.mcgill.ca, Marie-Ève Rancourt, Vedat Verter As of 2016, there are still more than 800 million people dealing with hunger who are mostly located in Sub-Saharan Africa. Recently, relief efforts of humanitarian organizations are shifting from in-kind food aid to different food assistance programs. There are multiple reports suggesting that providing cash or vouchers can be significantly more effective compared to in-kind food distribution. However, our study is the first attempt to mathematically formulate the aid modality selection problem. We develop a flexible methodology that can adjust to the ever-changing dynamics of the food assistance environment using real data from Kenya. TA52 214-MCC Transportation Issues in Smart Cities Sponsored: Public Sector OR Sponsored Session Chair: Leila Hajibabai, WSU, 405 Spokane St, Pullman, WA, 99163, United States, leila.hajibabai@wsu.edu 1 - Development Of An Optimal Control Logic For Autonomous Intersection Management Amir Mirheli, Washington State University, Pullman, WA, 99163, United States, amir.mirheli@wsu.edu, Clayton Cline, Leila Hajibabai, Ali Hajbabaie Reliable coordination between connected-autonomous vehicles (CAVs) and transportation infrastructure offers the possibility of eliminating existing traffic signals in smart cities. This research develops an intersection control system (ICS) that obtains advance information on CAVs’ arrivals, locations, and speeds over time. ICS models an optimal logic to simultaneously maximize intersection throughput and minimize delay while upholding safety constraints on vehicle maneuvers to prevent collisions. Numerical results confirm that the proposed technique can solve the problem efficiently. 2 - Variable Speed Limit Optimization In Urban Street Networks Mehrdad Tajalli, Graduate Research Assistant, Washington State University, Pullman, WA, United States, mehrdad.tajalli@wsu.edu, Sattar Sattarov, Ali Hajbabaie Emergence of connected vehicle technology provides the opportunity to facilitate the movement of vehicles in smart transportation networks and reduce their travel time. Dynamic speed limit on different links of the network helps efficiently utilize the roadway capacity and facilitates network-wide vehicular movements. This study develops a novel formulation and an efficient solution technique for variable speed limit optimization based on cell transmission model.

3 - Dynamic Traffic Metering In Urban Street Networks Rasool Mohebifard, Washington State University, Pullman, WA, United States, rasool.mohebifard@wsu.edu, Andrew Stephenson, Ali Hajbabaie Traffic metering offers great potential to reduce congestion in oversaturated urban street networks. This research presents a linear program for traffic metering in smart urban street networks. We also present a Mixed-Integer Linear Program (MILP) to address the flow holding-back problem of the linear program. We propose a novel solution algorithm and show that it converts the MILP to a linear program and several simulation runs. 4 - Distributed-coordinated Signal Timing Optimization In Connected Transportation Networks S.M.A Bin Al Islam, Graduate Research Assistant, Washington State University, 545 NE Morton Street, Apt 202, Pullman, WA, 99163, United States, smabinal.islam@wsu.edu, James Amundsen, Ali Hajbabaie This research presents a Distributed-Coordinated methodology for signal timing optimization in connected urban street networks. The novelty of the work arises from reformulating the signal timing optimization problem from a central to a distributed architecture, where a mathematical program controls the timing of only a single intersection. The distribution, reduces the complexity of the problem. Furthermore, distributed mathematical programs continuously coordinate with each other to avoid finding locally optimal solutions and to move towards global optimality. 5 - Strategic Design Of Station Location And Patrol Routing For Incident Response Programs Debashis Saha, Washington State University, Pullman, WA, 1, United States, debashis.saha@wsu.edu, Leila Hajibabai Transportation and enforcement agencies aim to clear traffic accidents in a timely manner to mitigate congestion and improve traffic safety. This research develops a set of mathematical programs to determine the optimal patrol routing scheme for connected response teams under strategic dispatching station location decisions in smart cities. The proposed models minimize the expected maximum response time to all possible hotspots on transportation networks. A hybrid solution algorithm including Lagrangian relaxation and column generation techniques is developed. Numerical tests are conducted to evaluate the efficiency of the proposed algorithm. Chair: Leonardo Santiago, Copenhagen Business School, Department of Operations Management, Solbjerg Plads 3, Blok B 5. sal, Frederiksberg, 2000, Denmark, ls.om@cbs.dk 1 - Why Scale Matters In Social Network Analysis: The Case Of Twitter Conversations about YouTube Product Categories Charles Weber, Portland State University, Portland, OR, United States, webercm@gmail.com, Nitin Mayande 2 - Role Of Firm Knowledge, Quality Conformance And Lean Practices On Product Development Vashkar Ghosh, University of Florida, Warrington College of Business, Gainesville, FL, United States, vashkar.ghosh@warrington.ufl.edu, Janice E Carrillo We investigate the implementation of lean principles which constitutes value creation and waste elimination in a product development setting. We view a firm’s design knowledge creation and quality development as value creation and study its impact on product development. We also investigate a goal level of quality performance. 3 - The Impact Of Learning On Cumulative Innovation Leonardo Santiago, Copenhagen Business School, ls.om@cbs.dk, Julia Couto, Nitin Joglekar The ability to continuously innovate is a key asset to maintain a competitive advantage. A sequence of successful innovations can render a company not only a new product or technique but also a platform which could be used in future. This work investigates how knowledge is accumulated over time as a function of managerial decisions and the dynamics of firm’s knowledge. Our results show that an organization can actively select pivoting points to appropriately balance exploration and exploitation initiatives and successfully learn. Moreover, we show how companies improve their performance by reacting to environmental shocks or to turbulent environments. TA53 Music Row 1- Omni Organizational Learning, Innovation and Knowledge Creation Sponsored: Technology, Innovation Management & Entrepreneurship Sponsored Session

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