2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
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3 - A Multistart Algorithm For The Parallel Machine Scheduling
Problem With Dependent Setup Times And
Preventive Maintenance
Oliver Avalos-Rosales, Profesor Investigador de Tiempo Completo,
Universidad Autónoma de Coahuila, orion 338, Satelite Norte,
Saltillo, 25115, Mexico, , Ada M. Álvarez,
Francisco Angel-Bello
We address an unrelated parallel machine scheduling problem minimizing the
makespan. We consider dependent setup times and periodic preventive
maintenance. These aspects have not been jointly studied in parallel machine
environment. The problem is NP-hard. We consider the structure of feasible
solutions and the structure of the objective function to design each component of
the multistart proposed algorithm. We present computational experiments to
compare the algorithm with exact solutions in small an medium size instances,
and validate the contribution of each part of the algorithm in large instances.
4 - Operating Room Scheduling Under Hybrid Demand
Hamed Yarmand, University of Massachusetts Boston,
2 Fatima Rd, Stoneham, MA, 02180, United States,
, Amirreza Shojaeifard, Babak Rezaee
We present a novel model for the elective surgery scheduling problem for
multiple operating rooms to improve the efficiency of ORs with the intent of
maximizing the profit (considering revenue of surgeries, fixed cost, and overtime
cost). We develop an integer linear programming model for this scheduling
problem. The developed model is a four dimensional assignment problem that
determines the weekly schedule (day, surgeon, operating room, and type of
surgery) considering three types of surgery demands simultaneously (pre-
scheduled, pre-assigned, and other). It also considers surgeons’ availabilities for
performing surgeries. Two heuristic algorithms are proposed and investigated.
5 - Project Planning And Scheduling To Maximize Expected Quality In
The Presence Of Stochastic Time Delays
Matthew J Liberatore, Villanova University, 800 Lancaster Avenue,
Villanova, PA, 19085, United States,
, Bruce Pollack-Johnson
We present research designed to help deal with probabilistic time delays and cost
overruns which endanger project quality. We present strategies to find the
planned durations for tasks and the scheduling protocol that maximize the
expected overall project quality by applying our previously developed notion of a
continuous quality function for a task (and the project overall) in terms of the
time and investment put into it.
MC33
203B-MCC
Simulation I
Contributed Session
Chair: Barret Pengyuan Shao, Crabel Capital Management, 414 East
Market Street Second Floor, Charlottesville, VA, 22903, United States,
1 - Simulation-based Optimization For Layout-based Grafting
Resource Allocation
Sara Masoud, University of Arizona, 1300 E Fort Lowell Road,
# A214, Tucson, AZ, 85719, United States,
, Young-Jun Son, Chieri Kubota,
Russell Tronstad
Optimal resource planning in vegetable seedling propagation facilities is
complicated due to the dynamicity of workers’ performance. In addition, the
negative impact of an inefficient layout on workers’ performance reduces the
productivity in grafting facilities substantially. In this work, a simulation-based
optimization model is devised to achieve the optimal layout-based resource
allocation. The proposed model is customized based on workers’ individual
performance and managerial design preferences. The optimal solution is expected
to reduce the production cost of grafting systems. systems.
2 - Interfirm Imitation Under Relational And Institutional Influences
Kyun Kim, Doctoral Student, University of Texas at Dallas, 800
West Campbell Road, SM43, Richardson, TX, 75080, United States,
, Zhiang (John) Lin
In the interfirm imitation research, the role of imitation targets is often
underexplored since imitators have received the most attention. Also, the
connection between macro and micro constructs related to imitation has not been
clearly discussed. We endeavor to shed light on imitation targets and to connect
macro and micro factors. We develop a status based approach and introduce how
status (macro and micro) of a firm lets imitators reduce uncertainty and gain
legitimacy. We also examine performance (micro) and institutional environment
(macro) of an imitation target. We conduct empirical tests and computational
analyses regarding firms’ resource acquisition activities: M&As and Alliances.
3 - Climate Prediction Markets And Investor Beliefs:
An Agent-based Simulation
Jonathan Gilligan, Associate Professor, Vanderbilt University,
2301 Vanderbilt Place, PMB 351805, Nashville, TN, 37235-1805,
United States, , John J. Nay,
Martin Van der Linden
A large fraction of the American public doubts the scientific consensus that
human activity is causing global warming. Climate prediction markets might
influence beliefs in people who distrust scientists but trust free markets. We
present an agent-based computational test-bed to examine prediction market
dynamics. Traders with different beliefs about climate bet on future temperatures
and adapt their beliefs based on the profits of other traders. Traders believe that
global climate is primarily controlled by carbon dioxide or by solar irradiance.
Market participation causes traders’ beliefs to converge rapidly, suggesting that a
climate market could be useful for building public consensus.
4 - Agent-Based Simulation Of Production And Seeding Strategies
For Innovations
Ashkan Negahban, Assistant Professor, Pennsylvania State
University, 30 E Swedesford Rd, Malvern, PA, 19355,
United States, Jeffrey Smith
We develop an agent-based simulation model of new technology diffusion to
evaluate different viral marketing and inventory build-up policies under various
social network structures. We show that determining seeding and build-up
policies sequentially may lead to suboptimal decisions. We show how the optimal
joint policy varies for different product categories and that the seeding strategy
that maximizes demand rate is not necessarily optimal under supply constraints.
We also investigate the role of high-degree nodes and long-range connections in
scale-free and small-world networks.
5 - Approximation Of Long Memory Process With Short Memory
Process And Some Numerical Experiments
Barret Pengyuan Shao, Crabel Capital Management,
414 East Market Street Second Floor, Charlottesville, VA, 22903,
United States,
Taking FARIMA(p,d,q) process with d > 0 as an example for long memory
process, we use information distance to prove that stationary ARMA processes are
dense in all FARIMA processes in the total variation distance. As a consequence,
statistical tests with finite sample size fail to distinguish a FARIMA process from
ARMA processes. We provide Monte Carlo experiments that confirm that long
memory processes are not easily distinguished from our approximate ARMA
processes with finite sample sizes using a variety of well known statistical tests.
MC34
204-MCC
Empirical Studies in Healthcare OM
Sponsored: Manufacturing & Service Oper Mgmt,
Healthcare Operations
Sponsored Session
Chair: Song-Hee Kim, USC Marshall School of Business,
3670 Trousdale Parkway, Los Angeles, CA, 90089, United States,
1 - Nursing Shift Assignment And Its Influence On Medical
Outcomes: First Insights Of A Multicenter Study
Ludwig Kuntz, University of Cologne, Cologne, Germany,
, Felix Miedaner, Stefan Scholtes
Low staffing levels are known to be a risk factor for medical outcomes. However,
it is important not only to consider the right staffing levels but also to assign the
available staff in the most sensible manner. Based on data from a multicenter
study of 66 neonatal intensive care units, we analyze variation in staffing
allocation decisions and present the first insights into their association with
outcomes.
2 - The Impact Of Internal Service Quality On Nurse Inefficiency And
Medical Errors
Xin(Sarah) Zheng, Boston University, Boston, MA, United States,
, Anita L Tucker, Z Justin Ren, Janelle Heineke,
Amy McLaughlin, Aubrey Podell
Drawing on the theories of swift, even flow and conservation of resources, we
propose a new avenue for addressing medical errors—improving internal service
quality (ISQ), which is the quality of service provided by support departments
such as housekeeping, and materials management. Using 13 months of panel data
from five nursing units that gather weekly data on ISQ delivered by 11 support
departments, we find that a one standard deviation increase in ISQ is associated
with near elimination of hospital-acquired pressure ulcer and patient fall. The one
standard deviation increase in ISQ is further associated with a 5% reduction in
nurse inefficiency and a financial benefit as high as $7 million.
MC34