Table of Contents Table of Contents
Previous Page  133 / 561 Next Page
Information
Show Menu
Previous Page 133 / 561 Next Page
Page Background

INFORMS Nashville – 2016

133

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.edu

A 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.

MA35

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.edu

1 - The Use Of Technology To Improve Engagement

Through Accountability

Gad Allon, Wharton School, Philadelphia, PA, 19010,

United States,

gadallon@wharton.upenn.edu

I 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.edu

In 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.edu

I 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.edu

As 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.

MA36

205B-MCC

Emerging Issues in Supply Chain

General Session

Chair: Hyun-Soo Ahn”, University of Michigan, Ann Arbor, MI,

United States,

hsahn@umich.edu

Co-Chair: Hakjin Chung, University of Michigan, 701 Tappan Avenue,

Ann Arbor, MI, 48103, United States,

hakjin@umich.edu

1 - On Multi-Attempt Approximation Of Choice Model And Its

Application To Assortment Optimization

Hakjin Chung, University of Michigan,

hakjin@umich.edu

It 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.edu

Stefanus 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.edu

We 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.

MA36