Informs Annual Meeting Phoenix 2018

INFORMS Phoenix – 2018

SD75

3 - Multicriteria Model for Public Security Planning Caroline Miranda Mota, Associate Professor, Universidade Federal de Pernambuco,, Rua General Salgado 180 Apartment 201, Boa Viagem Recife PE, Recife, 51130320, Brazil, Ciro Figueiredo, Debora Pereira Public security planning involves the effective use of resources to deal with crime prevention and reduction. Countries all over the world have made many efforts to reduce crime rates, although this phenomenon is more critical in developing nations. This study is concerned with an effective resource allocation in the context of public policies to prevent crime occurrence. It involves the application of combined methodologies to explore the influence of crime risk factors and to prioritize places that deserve more resources. We considered social, economic, and demographic variables to analyze critical zones, using GIS and multi-criteria approach. 4 - Multicriteria Model to Support Maintenance Planning of Infrastructure Devices Cristiano Cavalcante, Associate Professor, Universidade Federal de Pernambuco, Av. da Arquitetura, s/n, Centro de Tecnologia e Geoci Ω ncias (CTG), Pr dio do Departamento de Engenharia de Produ π o, Sala 201 A, Cidade Universitária, Recife - Pernambuco, 50740-550, Brazil, Alexandre R. Alberti The objective of this work is to present contributions to the definition of maintenance policies for protection devices in infrastructure systems. A hybrid inspection and preventive replacement policy is described by a mathematical model that incorporates important aspects of maintenance quality. The model enables to measure the consequences of unmet demands of protection devices as a resilience factor. An approach based on the application of Multiattribute Utility Theory is proposed to find the best compromise relationship between these two criteria in order to define maintenance policies aligned with the decision-maker’s preferences. n SD73 West Bldg 211B JFIG Panel Discussion: Work-Life Balance Sponsored: Junior Faculty JFIG Sponsored Session Chair: Ehsan Salari, Wichita State University, Wichita, KS, 67260, United States Co-Chair: Canan Gunes Corlu, Boston University, Boston University, Boston, MA, 02215, United States 1 - JFIG Panel Discussion: Work-Life Balance Ehsan Salari, Wichita State University, 120C Engineering Building, 1845 Fairmount St., Wichita, KS, 67260, United States Panelists will share lessons learned, challenges, and best practices in balancing job responsibilities in academia with responsibilities outside of work. Panelists Jennifer K. Ryan, University of NebraskaûLincoln, Dept of Supply Chain Management & Analytics, College of Business Administration, Lincoln, NE, 68588-0491, United States Bahar Kara, Bilkent University, Department of Industrial Eng, Ankara, 06800, Turkey Ozlem Ergun, Northeastern University, Mechanical and Industrial Engineering, Boston, MA, 02115, United States n SD74 West Bldg 212A Advances on Resilient Infrastructure Networks: Modeling and Implementation Sponsored: Multiple Criteria Decision Making Sponsored Session Chair: Shima Mohebbi, PhD, University of Oklahoma, Norman, OK, 73019, United States 1 - Resilience Analyses of Interdependent Water-Transportation Infrastructures: Simulation-Optimization Approach Shima Mohebbi, University of Oklahoma, 202 W. Boyd St., Room 124, Norman, OK, 73019, United States, leili soltanisehat This study develops agent-based simulation-optimization models to evaluate the resilience of water and transportation networks by considering their physical- socioeconomic interdependencies. We first analyze water and transportation infrastructures using network measures. Different network failure scenarios, based on the degree of interdependency, will be simulated and resilience curves

for restoration strategies will be analyzed. A case study will be demonstrated in the City of Tampa, FL. 2 - Bi-objective Optimization for Traffic Signal Restoration After Disruptive Events Tingting Zhao, University of South Florida, 4202 E. Fowler Avenue, ENB 118, Tampa, FL, 33612, United States A bi-objective optimization problem is formulated for traffic signal restoration sequence design after disruptive events. Both instantaneous resilience measure (Maximum Delay During Restoration) and accumulated resilience measure (Accumulated Total Delay) are optimized to provide various perspectives for decision maker to restore transportation system effectively with limited resources. Network-wide system performance is evaluated based on traffic simulation. NSGA-II is applied to solve this bi-objective optimization problem without enumerating all possible restoration sequences. 3 - A Hybrid Machine Learning Approach to the Stochastic Network Design Problem for Mitigation Strategies Charles D. Nicholson, University of Oklahoma, Norman, OK, United States, Alexander Rodriguez A new paradigm for stochastic network mitigation is proposed. The approach leverages realizations from scenario event simulations to develop a probabilistic framework that supports constrained decision making. This framework incorporates component fragilities, correlated failures, and other physical aspects that affect failure probabilities. Machine learning is used to enable metaheuristic search for high-quality mitigation strategies in a discrete solution space. 4 - Resilient Transportation Network Design Against Hurricane Disruptions Yusuf Secerdin, University of Miami, 1251 Memorial Drive McArthur, Engineering Building Room 271, Coral Gables, FL, 33146, United States, Murat Erkoc From the logistics network perspective, hurricanes significantly differ from other natural disasters in that they emerge as progressive events sweeping across regions. This distinct aspect calls for new adaptive transportation design procedures across time and space. In this study, we propose new models and efficient solution methodologies at both strategical and tactical levels for hurricane-prone logistics networks. The strategic level concerns designing resilient logistics networks and the tactical level involves rescheduling and rerouting as a response to hurricanes. n SD75 West Bldg 212B What if Type of Analyses for Assessing Events, Operations, and Effects Sponsored: Military and Security Sponsored Session Chair: Gitanjali Adlakha-Hutcheon, Department of Defence, ON, K2H 8G1, Canada 1 - Revisiting the Largest Non-nuclear Explosion Derek Baingo, DRDC, halifax, NS, Canada, Baingo, DRDC What if the Halifax Explosion of 1917 were to occur today? How would contemporary urban population and modern infrastructure be affected? By virtually recreating the catastrophic event from a century ago we can apply the lessons learned to better plan, design and build the cities of tomorrow. 2 - A Means to Work on FATE Gitanjali Adlakha-Hutcheon, Department of Defence, 60 Moodie Drive, Ottawa, ON, K2H 8G1, Canada Futures Assessed alongside socio-Technical Evolutions (FATE) is a method developed by a NATO Systems Analysis Studies Panel (SAS-123). It entails studying the interactions between diverse futures and socio-technical evolutions concurrently to provide decision-makers with input on socio-technical disruptors in the context of described futures. Examples of emerging technologies and their fate in about 15 years from today will be presented. 3 - Modeling Mission Effects Chains Mark Gallagher, US Air Force, Doug Fullingim, David Quick We discuss building a detailed series of events to represent various mission effect chains including kill chains. Adding parallel redundancies where multiple systems are available may provide an improved measure of realized mission effects for the Air Force. The horizontal (series) assessment indicates the ability to accomplish various mission. A vertical assessment (parallel redundancy) provides the basis for the mission-area health. Additionally, this mission effect chain dependencies could provide an improved basis for estimating dependencies between mission areas within the Air Force.

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