Informs 2015

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INFORMS Philadelphia – 2015
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2 - What Can Merger and Acquisition (M&A) do for
Healthcare Services?
Yujiun Tsai, Texas A&M University, 3131 TAMU, College Station,
TX, United States of America,
We would like to explore the rationalization of hospitals using M&A to
differentiate themselves through services, quality measures, and customer
satisfaction.
3 - The Impact of Knowledge Sharing on Healthcare Risk
Management Performance
Mecit Can Emre Simsekler, Research Associate, UCL School of
Management, UCL, Gower Street, London, WC1E 6BT,
United Kingdom, , Bilal Gokpinar
Considering two key components of knowledge sharing among healthcare
personnel, (i) codified in the form of written documents and (ii) tacit with
behaviors and daily practices, we examine how knowledge sharing capabilities in
healthcare settings translate into risk management performance. We employ a
unique dataset from the NHS acute trusts in England to investigate our
hypotheses.
4 - Infectious Disease Outbreak Response Strategies for Ebola
Neil Desnoyers, Instructor, Saint Joseph’s University, 133 Green
Valley Rd, Upper Darby, PA, 19082, United States of America,
High viral-load Ebola patients cause an outsize proportion of all transmissions.
Outbreak response strategy should include the construction and/or use of
permanent, temporary, and/or mobile healthcare facilities, simultaneously. I
investigate the use of information on the requirements of high vs. low viral-load
Ebola patients. I discuss optimal healthcare facility use to inform Ebola outbreak
response and facility deployment strategies, thereby achieving maximum benefit
at minimum cost.
WD38
38-Room 415, Marriott
Optimization Combinatorial III
Contributed Session
Chair: Pascal Rebreyend, Senior Lecturer, Högksolan Dalarna,
Rödavagen, Falun, 79188, Sweden,
1 - The J-set and Successive Mccormick Relaxations for Polynomial
Programming Problems
Evrim Dalkiran, Wayne State University, 4815 4th St.
MEB # 2149, Detroit, MI, 48202, United States of America,
We analyze the relative strength and tractability of the two linear programming
relaxations obtained by the J-set of constraints constructed for the original
polynomial formulations and the McCormick relaxations constructed for
equivalent quadratic formulations via successive quadrification scheme. We
propose a hybrid algorithm that judiciously selects among the J-set relaxation and
the McCormick inequalities based on the problem’s structural characteristics.
2 - Symmetry: What LP Can Learn from MIP
Roland Wunderling, IBM, Annenstrasse 9, Graz, Austria,
Jean-francois Puget
Symmetry has long been exploited in the solution of mixed integer programs.
While LP does not suffer from the same combinatorial explosion of the search
space due to symmetry as MIP does, symmetries can be identified and exploited
for LP as well. We will evaluate the effect of doing so.
3 - Profit-oriented Ring Arborescence Problems
Alessandro Hill, Hamburg University of Technology,
Schwarzenbergstrasse 95 D, Hamburg, Germany,
, Roberto Baldacci, Edna Hoshino
In this work we study three new problems in extended network design. Two
types of customer nodes and Steiner nodes can be used in a two-level network.
Type two customers have to be in circuits that intersect in a depot. Type one
customers may also be used in arborescences that extend this ring core. Objectives
take into account the arc costs, customer-dependent profits or both. We present
MIP models, valid inequalities, corresponding exact algorithms, heuristics and
computational results.
4 - Testing Algorithm for Large P-median Problems in Heterogenous
Road Networks
Pascal Rebreyend, Senior Lecturer, Hügksolan Dalarna,
Rüdavagen, Falun, 79188, Sweden,
Laurent Lemarchand
This paper presents and compares different algorithms on large scale p-median
problems, up to 2000 candidate nodes. Our main focus is instances where the
demand is asymmetric distributed. We use as real data the Swedish road network
including distances and as demand points the location of Swedish citizens as our
experimental context. Tested methods simulated annealing, volume algorithm
and Cplex. Our new hybrid genetic approach outperforms other existing
approaches on large instances.
5 - Conic Least Squares Problem
Yu Xia, Assistant Professor, Lakehead University, 955 Oliver Rd,
Thunder Bay, ON, P7B 5E1, Canada,
I give two reformulations of the dual of the constrained least squares problem
over convex cones. The conic least squares problem is then solved by applying
modified Nesterov’s excessive gap method or Nesterov’s smooth method.
Numerical experiments comparing this approach with interior-point method
based state-of-art software are given.
WD39
39-Room 100, CC
Marketing/Operations Management
Cluster: Operations/Marketing Interface
Invited Session
Chair: Rachel Chen, Univeristy of California, Davis, CA,
United States of America, Associate Professor,
Co-Chair: Cuihong Li, University of Connecticut, 2100 Hillside Rd,
Storrs, CT, United States of America,
1 - Retailer Adoption of Innovative Products
Jane Gu, Assistant Professor, University of Connecticut,
2100 Hillside Road, Storrs, CT, United States of America,
, Yunchuan Liu
We consider a research context where innovators with new product development
expertise lack direct-selling capabilities and big retailers control the access to the
consumer market. We examine how a retailer decides whether to carry an
innovator’s product based on its private information regarding the market
acceptance to the innovative product. Our investigation reveals the interesting
impact of vertical and the horizontal channel structures on the retailer’s
innovation adoption decision.
2 - Product Line Design: Variety and Responsiveness
Cuihong Li, University of Connecticut, 2100 Hillside Rd,
Storrs, CT, 06269, United States of America,
, Laurens Debo
A larger product variety allows a firm to better satisfy the needs of heterogeneous
customers, but, in a make-to-order environment, it increases the job completion
time, leading to longer waiting of customers. We study the trade-off between
product variety and responsiveness to align product line design and operations
system design.
3 - Why and Where to Have Outlet Stores?
Shuya Yin, University of California, Irvine, Merage School of
Business, Irvine, CA, United States of America,
Jiarui Bai, Haresh Gurnani
Outlet stores have been both complementary to and competing with the main
stores. In this project, our goal is to understand the tradeoffs involved in offering
outlet stores. In particular, we study how much product differentiation and
physical distance should be kept between the main and outlet stores.
4 - Open Or Closed? Technology Strategy, Supplier Investment,
and Competition
Bin Hu, Assistant Professor, UNC Kenan-Flagler Business School,
CB#3490 McColl Bldg, University of North Carolina, Chapel Hill,
NC, 27519, United States of America, Bin_Hu@kenan-
Ming Hu, Yi Yang
We analyze a model where each of two manufacturers decides whether to open
its technology to the competitor, and a supplier subsequently decides what
technologies to invest in. We find that open technology incentivizes supplier
investment, and also leads to a technology-risk-pooling benefit. The
manufacturers may also be faced with the prisoner’s dilemma. Finally, we show
that manufacturers may close their technologies to force the supplier to make a
technology investment.
5 - Money-back Guarantees When Physical and On-line
Retailers Compete
Hang Ren, University College London, London, United Kingdom,
, Tingliang Huang, Chris Tang,
Ying-ju Chen
We study the pricing and product return policies when physical and on-line stores
compete. We find that the on-line store offers money-back guarantees when its
salvage advantage outweighs total return hassle. Interestingly, better service
quality may hurt the on-line store. When consumers can showroom, i.e. buying
online after trying the product offline, we show that the on-line store should offer
hassle-free money-back guarantees.
WD39