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INFORMS Nashville – 2016

32

SA44

2 - Tradespace Tools For Engineering Resilient Systems

Valerie B. Sitterle, Senior Research Engineer,

Georgia Tech Research Institute, Atlanta, GA, United States,

valerie.sitterle@gtri.gatech.edu,

Santiago Balestrini-Robinson,

Dane F. Freeman, James Arruda, Simon R. Goerger,

Tommer R. Ender

Engineered Resilient Systems (ERS) is a U.S. Department of Defense (DoD)

program focusing on effective, efficient development of complex engineered

systems across their lifecycle and different future operational needs and mission

contexts. This presentation will describe the ERS TRADESPACE toolset being

collaboratively developed for the DoD Acquisitions community to support the

end-to-end set of integrated processes necessary to specify stakeholder needs and

create tradespaces for exploration in synergy with decision analysis methods. We

will also discuss how traditional decision analysis may be a foundation from

which to explore additional questions relevant to key decision makers.

3 - Decision Analysis In The Engineering Body Of Knowledge

Gregory S Parnell, University of Arkansas,

gparnell@uark.edu

We review the definitions of decision analysis and list the decision analysis articles

in the body of knowledge for the following professional societies: INFORMS, the

Society for Decision Professionals, the Military Operations Research Society

(MORS), The International Council on Systems Engineering (INCOSE), and the

American Society for Engineering Management (ASEM).

4 - Evaluating Stakeholder Requirements To Assess Resiliency For

Engineered Resilient Systems

Christina Rinaudo, USACE Engineer Research and Development

Center (ERDC), Vicksburg, MS, United States,

Christina.H.Rinaudo@usace.army.mil

, Randy K Buchanan

Engineered Resilient Systems (ERS) research focuses on identifying methods and

incorporating processes to enable model-based systems engineering analysis early

in the acquisition life cycle. ERS research efforts include defining, quantifying,

and developing a methodology to analyze system resiliency. Previous research

described an aspect of resilience as robustness and proposed a workflow to

quantify robustness using Multi-Attribute Utility Theory (MAUT). This

presentation describes the application of the robustness workflow to evaluate

design alternatives using the system requirements generated during the

development of the Mine Resistant Ambush Protected (MRAP) vehicle.

SA44

208B-MCC

Applications of Decision Analysis to Natural

Resource Management

Sponsored: Decision Analysis

Sponsored Session

Chair: Karen Jenni, US Geological Survey, DFC, MS 939, Denver, CO,

80225, United States,

kjenni@usgs.gov

Co-Chair: Michael Runge, US Geological Survey, Patuxant Wildlife

Research Center, Laural, MD, 20708, United States,

mrunge@usgs.gov

1 - Optimal Design Of Protection Zones For Wildlife.

Julien Martin, US Geological Survey,

julienmartin@usgs.gov

The establishment of protection areas to reduce mortality risk of wildlife is a

common management action, yet implementation of these zones can be

contentious. We apply optimization approaches to determine optimal

configuration of protection zones that meet management objectives under various

costs and constraints scenarios. One key management objective is to minimize

risk of deadly collisions. We apply encounter rate theory to quantify the relative

risk of lethal collisions between marine mammals and watercraft.

2 - Managing A Long-term Tidal Estuary Restoration: An Adaptive

Framework For Decisions Under Uncertainty And Risk

David R Smith, Researcj Statistician, US Geological Survey,

Leetown, WV, 25430, United States,

drsmith@usgs.gov

Jill Gannon, Mitchell J Eaton

In collaboration with NPS, we developed a decision framework to help guide

restoration of an ecologically degraded estuary, restricted from tidal influence for

100+ years. Decisions involve the timeframe under which restored tidal exchange

will occur via modified water control structures, and implementation of

secondary actions to address specific concerns. Decision complexity is magnified

by multiple objectives, a long restoration horizon, high uncertainty about

ecosystem response to hydrologic changes and low risk tolerance by numerous

stakeholders. Although leaning is anticipated to occur rapidly, problem

complexity limits the application of formal adaptive management principles.

3 - Models And Tools To Support Decision Making On Multiple,

Future, As-yet Unclear Management Issues

Karen Jenni, US Geological Survey,

kjenni@usgs.gov

The USGS is developing a set of approaches and tools for conducting multi-

resource analyses. These tools are intended to support decision making on a

variety of future issues related to landscape-scale resource management. The tools

can be used to consider multiple natural resources and sources of change and to

address the relationships among resources and the social and economic impacts of

resource change over time. We will discuss some of the unique challenges in

scoping, defining, and building such models, focusing on the benefits a decision

analysis approach brings even to problems without a clearly defined issue or

specifically identified decision-makers.

4 - Casting Endangered Species Recovery As A Budget

Allocation Problem

Michael C Runge, USGS Patuxent Wildlife Research Center,

Laurel, MD, 20708, United States,

mrunge@usgs.gov

,

Leah R. Gerber, Jeff Newman, Lynn A. Maguire,

Richard F. Maloney, Deborah T. Crouse

The U.S. Fish and Wildlife Service (FWS) is charged with managing recovery

programs for species listed under the Endangered Species Act. At an agency level,

this can be seen as the allocation of scarce resources to a portfolio of individual

recovery efforts, taking into account the potential synergies among programs, as

well as the opportunity to motivate additional funding from external partners. We

are working with FWS to frame such decisions, using combinatorial optimization

to explore solutions. Initial results suggest recovery outcomes could be improved

with strategic budget allocation. Further, this framework provides a way to clearly

articulate the benefits of increased funding.

SA45

209A-MCC

Financial Network Structure and Systemic Risk

Invited: Risk and Compliance

Invited Session

Chair: Rafael Mendoza, McCombs School of Business, University of

Texas, Austin, TX, 78712, United States, rafael.mendoza-

arriaga@mccombs.utexas.edu

Co-Chair: John R Birge, University of Chicago, 5807 S Woodlawn Ave,

Chicago, IL, 60637, United States,

John.Birge@ChicagoBooth.edu

1 - Financial Network Structure And Systemic Risk

John R Birge, University of Chicago,

John.Birge@ChicagoBooth.edu

This talk will present a tutorial on financial network structure and systemic risk,

the impact of the structure on the propagation of shocks and the potential for

failure cascades. The tutorial will describe basic models and their implications and

an examination of the inclusion of endogenous decisions on inter-relationships.

SA46

209B-MCC

Pricing and New Product Management

Sponsored: Revenue Management & Pricing

Sponsored Session

Chair: Nur Sunar, UNC, Chapel Hill, NC, United States,

nur_sunar@kenan-flagler.unc.edu

1 - Optimal Subscription Pricing For Free Delivery Services

Chinmoy Mohapatra, PhD Student, The University of Texas at

Austin, McCombs School of Business, Austin, TX, 78712,

United States,

chinmoym@utexas.edu

, Anant Balakrishnan,

Shankar Sundaresan

We study the subscription pricing problem of a retailer that offers its consumers

two delivery choices: a pay-per-delivery option and a subscription option with

free delivery. The retailer balances the “loss” incurred in covering the shipping

costs of subscribers against the increase in revenue from the “lift” in their

purchase quantity. We develop a model based on a novel utility-based framework

that captures consumer heterogeneity, both in terms of their utility and

preference across different firms, characterize the retailer’s optimal subscription

pricing policy, and develop interesting insights.