INFORMS Nashville – 2016
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3 - Digital And Physical Team Interaction: How Team Size And
Stability Determine Hospitalist Productivity
Jan A Van Mieghem, Northwestern University,
vanmieghem@northwestern.edu, Itai Gurvich, Lu Wang,
Nicholas D Soulakis
We present and empirically test a team evolution model of how team size and
team stability determine the productivity of a focal member who acts as an
information hub. In our healthcare field study, the focal member is a hospitalist
that coordinates patient care among an extensive care team that comprises the
patient’s digital and the hospitalist’s physical team. The physical team consists of
care providers who interact directly (via phone, text, or face-to-face) with the
hospitalist regarding the patient and whose activities we captured using a time
and motion study. The digital team consists of providers that input information to
the patient’s Electronic Health Record (EHR).
4 - Market Failure in Kidney Exchange
Itai Ashlagi, Stanford University, Stanford, CA,
iashlagi@stanford.eduA market for kidney exchange has grown in recent years. Kidney exchange
allows patient-donor incompatible pairs to swap donors. The number of
transplants from kidney exchanges has grown to be 10% of live kidney donations
in the U.S., but growth has stagnated in the last few years. Focusing on the U.S.
market, we use administrative records to document that: (1) the market is
fragmented across many competing exchange programs, (2) participants in the
largest exchange program are adversely selected. (3) smaller exchange programs
conduct inefficient exchanges. We propose a supply and demand model to explain
how these outcomes can arise as equilibrium behavior, due to the social and
private incentives of hospitals being misaligned. We use the model and data to
develop simple and efficient alternative mechanisms.
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205A-MCC
Breakthroughs in Teaching Operations
Sponsored: Manufacturing & Service Oper Mgmt, Service
Operations
Sponsored Session
Chair: Ryan Buell, Harvard Business School, Soldiers Field Road,
Boston, MA, 02163, United States,
rbuell@hbs.edu1 - The Use Of Technology To Improve Engagement
Through Accountability
Gad Allon, Wharton School, Philadelphia, PA, 19010,
United States,
gadallon@wharton.upenn.eduI will be discussing the use of technology to manage formative assessment before,
during and after class, and improve learning in settings that encourage learning
through discovery (case studies, exercises, etc). Specific attention will be given to
teaching topics in operations management.
2 - Innovations In Teaching Operations Management At UCLA
Guillaume Roels, Anderson School of Management, UCLA,
guillaume.roels@anderson.ucla.eduIn this presentation, I will review some recent innovations we have introduced at
UCLA to make Operations & Technology Management one of the most popular
courses in the core at UCLA. Some of these innovations are (i) striving to make
the content more relevant to students, based on their job aspirations, (ii)
structuring the class to deliver the best experience, and (iii) fostering student
engagement.
3 - Architecting New Business Models (in the classroom)
Karan Girotra, INSEAD,
karan.girotra@insead.eduI will present a short summary of how we have redesigned MBA-level core and
elective classes around the study of disruptive business models. These courses use
traditional operations management tools to analyze and architect new business
models. Pedagogically, we employ an experiential workshop format-participants
identify and refine real-world disruptive business models.
4 - IDEO: Human-centered Service Design – Multimedia-enhanced
Teaching And Learning
Ryan Buell, Harvard Business School,
rbuell@hbs.eduAs technology matures, so does the demand for dynamic, media-rich educational
content. “IDEO: Human-Centered Service Design” is a multimedia case study that
focuses on the design thinking process at IDEO, one of the world’s leading design
firms. The case follows a team of IDEO designers as they reinvent the movie-
going experience for the emerging middle class in Peru. During this session, I will
demo the case, which can be successfully taught to undergraduates, MBA
students, and executives. I will also discuss the lessons my colleagues and I have
learned through teaching it, about how multimedia can enhance (or unwittingly
detract from) the teaching and learning experience.
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205B-MCC
Emerging Issues in Supply Chain
General Session
Chair: Hyun-Soo Ahn”, University of Michigan, Ann Arbor, MI,
United States,
hsahn@umich.eduCo-Chair: Hakjin Chung, University of Michigan, 701 Tappan Avenue,
Ann Arbor, MI, 48103, United States,
hakjin@umich.edu1 - On Multi-Attempt Approximation Of Choice Model And Its
Application To Assortment Optimization
Hakjin Chung, University of Michigan,
hakjin@umich.eduIt is known that any random-utility based choice model can be approximated to
any degree of accuracy by a mixture of logits. We consider the problem of
approximating an arbitrary mixture of logits with a series expansion. The degree
of the expansion can be interpreted as the number of attempts that a customer is
willing to make before leaving the system because his preferred product is not
available. There are at least two benefits of using this approximation: the
optimization problem becomes tractable and its parameters can be estimated
using linear regression. We derive some bounds.
2 - Non-stationary Product Release Pattern
Lai Wei, University of Michigan,
laiwi@umich.eduStefanus Jasin, Roman Kapuscinski
Companies continuously release new generations of products with new features
to generate revenue and enlarge market share, especially in auto and software
industry where customers are willing to pay for technology updates. One of the
most widely adopted release strategy is a non-stationary mid-cycle strategy, where
minor improvements follow a major improvement. Although people has been
looking into the decisions in product release management, most of the works
focus on trade-offs that do not lead to such non-stationary strategy. In this paper,
we identify the main drivers to the non-stationary mid-cycle strategy and show
the situations where such policy is optimal.
3 - Flexibility Design Of Unbalanced Supply Chains Via Extended
Probabilistic Expanders
Hao Shen, Tsinghua University, Beijing, China,
chenhao14@mails.tsinghua.edu.cn, Yong Liang,
Zuo-Jun Max Shen
We study the design of flexible supply chains by finding sparse structures that
perform almost as well as the fully flexible structure in unbalanced and
symmetrical systems. We propose a class of sparse structures called extended
probabilistic expanders, and show that our structures perform well in the
expectation sense. We also present an efficient randomized algorithm to construct
extended probabilistic expanders. We prove that for a mildly unbalanced system,
our structure is the asymptotically sparsest design. Numerical results show that
our design has good performance compared with varieties of known well-
performing structures.
4 - Rationale For Supply Partnership With Downstream Rival:
Information Asymmetry And Dual Sourcing
Seung Hwan Jung, Washingtn University in St. Louis,
St. Louis, MO, United States,
seunghwan.jung@wustl.eduWe consider the opportunities of horizontal cooperation at the component supply
level between two firms that are rivals at the end-product market. We consider a
two-echelon supply chain in which a vertically integrated (VI) firm sells a
component to a component outsourcing (CO) firm that has private demand
information. The VI firm has its own brand which competes with the CO firm’s
product. Under this circumstance, we characterize firms’ sourcing and pricing
decisions. We offer insights for supply partnership in horizontal outsourcing cases,
with an emphasis on the complementary role of information asymmetry and dual
sourcing.
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