2016 INFORMS Annual Meeting Program

351 / 561

INFORMS Nashville – 2016
351
2 - Emergency Medical Service Response Models With Patient
Priorities
Soovin Yoon, University of Wisconsin, 1415 Engineering Drive,
Room 3261, Madison, WI, 53706, United States,
Laura Albert McLay
In this talk, we study how to use optimization models and algorithms to
effectively leverage patient triage information when determining how to locate
and dispatch ambulances. Research in this area is valuable since it provides
important guidance into how emergency medical services departments should use
scarce resources to balance the needs of high-priority and low-priority patients
given that triage information regarding patient needs is dynamic. This research
has resulted in several key insights into how to optimally use scarce public
resources for responding to health emergencies.
3 - Generalized Binary Search With Indifference Zones So All Can
Wait Less than 30 Minutes
Shijie Huang, Carillion Clinic,
We propose efficient methods to identify all resource combinations which
minimally satisfy a standard with probability greater than P*. These methods are
based on a generalized binary search combined with the fully sequential methods
of Andradóttir and Kim. Numerical examples and case studies illustrate and
compare the method with alternatives.
4 - Operations Research Meets Voting Laws In The U.S.A.: NAACP v.
Mccrory, Arizona, And Others
Theodore T Allen, Ohio State University,
Waiting lines are a political weapon to demoralize voters on the other side.
Evidence shows aspirants lost in New Mexico because of provisioning causing
lines. Also, in North Carolina we explore the possibility that racially motivate
lines affected a key senate election even while a judge has a different opinion.
TD52
214-MCC
Urban Transportation and Logistics in Public Sector
OR III
Sponsored: Public Sector OR
Sponsored Session
Chair: Sung Hoon Chung, Binghamton University, PO Box 6000,
Binghamton, NY, 13902, United States,
1 - An Open Source Tool For The Visualization, Analysis And
Reporting Of Regional And Statewide Transit Networks
Saeed Ghanbartehrani, Ohio University, Stocker Engineering
Center 276, Athen, OH, 45701, United States,
Jose David Porter
Assessing the current “state of health” of individual transit networks is
fundamental when planning improvements to a transportation network. These
improvements must be guided by strategies based on key performance metrics,
which require the availability of accurate data. This research focuses on the design
and implementation the transit network analysis (TNA) software tool. Some of
the inputs to this tool include transit network data from 66 different Oregon
transit agencies, census data, and employment data, and can be used to visualize,
analyze, and report on the Oregon transit network.
2 - Mobility Patterns And Service Level Analysis Of A Free Floating
Bike Sharing System
Aritra Pal, University of South Florida, Tampa, FL, United States,
Yu Zhang, Changhyun Kwon
Bike Sharing is a sustainable mode of urban mobility. Free-floating bike sharing
(FFBS) is an innovative bike sharing model, which saves on start-up cost and
offers significant opportunities for smart management. In this study, we identify
mobility patterns of users of Share-A-Bull Bikes (SABB) FFBS and analyse the
effect of external factors ( eg: weather ) on them. These results are then used to
measure lost demand in SABB FFBS, which is used to compute desired inventory
levels, of various regions in the SABB FFBS operating area. We also present a
model to estimate the probability of a bike being unusable and identify users who
are mishandling bikes, based on available historical trip data.
3 - Bike-sharing Market Acceptance Considering A Mixed Fleet Of
Bicycles
Mohammad Hossein Shojaei, Michigan State University, Building,
East Lansing, MI, 48824, United States, ,
Mehrnaz Ghamami
This study aims to minimize emission and launch costs of a transportation system,
while maximizing its health benefits. The system consists of currently available
services, as well as an intended bike-sharing scheme with mixed fleets of bicycles.
Fleets can include regular bikes, pedelces and power-on-demand e-bikes. User’s
choice is captured with a utility function defined by the average distance to be
traveled, mode availability, area’s topology, travel time, and user costs. Results
will help policy makers provide a cost-effective, eco-friendly and more active
transportation system.
TD53
Music Row 1- Omni
Managing Product Development and Collaboration
Sponsored: Technology, Innovation Management &
Entrepreneurship
Sponsored Session
Chair: Wenli Xiao, University of San Diego, 5998 Alcala Park, San
Diego, CA, 92110, United States,
1 - A Behavioral Analysis On The Use Of An Intermediary In
Manufacturing Outsourcing
Qiong Chen, University of Science and Technology of China,
, Aleda Roth, Gulru F Ozkan-Seely, Fred
Switzer
In this paper, we examine how the level of outsourcing competence of the firm,
the amount of time-to-market pressure and the buyer’s perceived incentive
alignment with the agent, act to systematically influence the decision to
outsource the new product directly or indirectly through an intermediary.
2 - Managing Supplier Incentives For Key Component Testing
Timofey Shalpegin, The University of Auckland Business School,
Suppliers of a key component for a new product are often required to perform
testing of the key component. However, they might not have sufficient incentives
to perform a sufficient number of tests if they do not fully internalize the risks of
new product failure. We examine different contracts, such as reward and residual
claimant contracts, and analyze their influence on the supplier incentives for
component testing. Finally, we design a contract ensuring the suppliers keep to
the efficient component testing level.
3 - Optimal Product Launch Times For A Firm With A Niche Product
Jacqueline Ng, Northwestern University, Evanston, IL, 60201,
United States, Izak Duenyas,
Seyed Iravani
We consider the optimal production introduction policy for a technology firm that
produces a single niche product that progresses through a series of product
generations over time. The novel part of this problem is that the firm’s niche
product is a subset or peripheral part of a larger product offering from a multi-
product firm. We develop a dynamic programming model to analyze the small
firm’s new product introduction strategy, and prove the optimality of a threshold
policy. We then compare and contrast the optimal policy with the common time-
pacing and event-pacing product introduction policies use in practice.
4 - Student Perceptions Of The Entrepreneurial Mindset Within
Capstone Design Projects
Ahad Ali, Lawrence Technological University,
For many engineering curricula, student teams are formed to complete a capstone
design project. Besides technical knowledge, capstone projects can foster team
building skills, leadership skills, problem-solving skills, opportunity recognition,
project planning and budgeting, innovation, tolerance for uncertainty/ambiguity,
and risk management among other attributes of the entrepreneurial mindset. This
paper provides an expanded analysis of student perceptions of the entrepreneurial
activity and the recognition of the entrepreneurial mindset associated with
capstone design projects.
TD54
Music Row 2- Omni
Service Science: Health Care Services
Sponsored: Service Science
Sponsored Session
Chair: George Cai, Santa Clara University, Leavey School of Business,
Santa Clara, CA, 95053, United States,
Co-Chair: Hui Zhang, Lakehead University, Lakehead University,
Thunder Bay, ON, P7B 5E1, Canada,
1 - Payment Contracts To Promote Use Of Optional Diagnostic Tests
In Cancer Treatment
Salar Ghamat, Ivey Business School, Western University,
, Greg Zaric, Hubert Pun
We examine performance-based payment contracts to promote the use of an
optional diagnostic test for newly diagnosed cancer patients. We model the
interaction between a health care payer and an oncologist with both adverse
selection and moral hazard. We show that, in the presence of information
asymmetry, an oncologist should never test all patients, even when the test was
available for free. Moreover, although the oncologist has additional information
about a patient’s risk, the payer can guarantee that the oncologist obtains the
same profit regardless of the characteristics of the patients. Finally, we find that
the payer might benefit from an increase in reputational concerns of the
oncologist.
TD54