2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
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SA32
4 - Dual Sourcing: Optimal Procurement Policy With Option Hedging
Against Freight Rate Risk
Arun Chockalingam, Eindhoven University of Technology,
Hoog Gagel 62, Eindhoven, 5611BG, Netherlands,
Taimaz Soltani, Jan C Fransoo,
Chung-Yee Lee
Raw materials cost less to procure on offshore markets as opposed to domestic
markets. However, offshore procurement requires ocean shipping, the price of
which is highly volatile, and firms usually have to charter ships, even if they do
not use the whole capacity of ships. We consider a commodity processor with two
sourcing choices and develop models to determine the firm’s optimal sourcing
policy. The models allow for three sources of uncertainty: demand, commodity
spot price and freight rate. Using option contracts as hedging tools against freight
rate risk, we develop a model that integrates a firm’s optimal sourcing decision
with the integer constraint on hiring ships.
SA32
203A-MCC
Scheduling I
Contributed Session
Chair: Neil Desnoyers, Saint Joseph’s University, 133 Green Valley Rd,
Upper Darby, PA, 19082, United States,
1 - A Bicriteria Scheduling Problem With Two Competing Agents
Shudong Sun, Northwestern Polytechnical University,
127 Youyi West Road, PO Box 554, Xi’an, 710072, China,
Single machine scheduling with two competing agents is studied. Cost function of
the machine and agent 1 must be minimized simultaneously, while cost function
of agent 2 is keeped below a determined value Q. Total completion time and
maximum lateness of the machine, and most regular cost functions of the agents
are consided. The model of multiagent scheduling has been enlarged to including
the goal of both machine and agents. Some polynomial and pseudo-polynomial
algorithms are presented.
2 - Scheduling Student Volunteers For The Informs Annual Meeting
Neil Desnoyers, Adjunct Instructor, Saint Joseph’s University,
5600 City Avenue, Philadelphia, PA, 19131, United States,
The 2015 INFORMS Annual Meeting in Philadelphia required the assistance of 59
student volunteers. Each student volunteer was required to serve two half-day
shifts out of the eight shifts available over four days (AM and PM shift each day).
Via a web survey, student volunteers indicated five of eight shifts they were
available to work. Between 12 and 14 student volunteers were required for each
shift, and student volunteers were assigned to 9 or 10 locations/roles each shift.
The problem was set up and solved as a binary integer programming problem.
The problem provides lessons for volunteer scheduling in general.
SA33
203B-MCC
Simulation and Optimization I
Contributed Session
Chair: Tomas Ignacio Lagos, Masters Degree Student, University of
Chile, 2017 - Pozuelo, Santiago, 7640031, Chile,
1 - An Integrated Multi-criteria Decision Making And Simulation-
optimization Framework For Supplier Selection
Mohammad Dehghanimohammadabadi, Teaching Assistant
Professor, Northeastern University, 360 Huntington Ave,
MIE Department, Boston, MA, 02115, United States,
, Emanuel Melachrinoudis
A wide spectrum of criteria have been introduced by researchers to evaluate the
suppliers’ performance; however, measuring and employment of all of these
criteria is impractical. In this study, a two-fold integration of MCDM and
Simulation-Optimization is developed to select the most effective criteria for the
supplier selection process. In this framework, the MCDM module incorporates a
combination of criteria to select the suppliers. Then, the simulation model
evaluates the performance of the Supply Chain (SC) considering the selected
suppliers. Based on the simulation results, a metaheuristic algorithm finds the
best/good combination of the criteria that maximizes the SC performance.
2 - Cloud-based Collaborative Application Development
Susanne Heipcke, Principal Engineer, FICO, FICO House,
Starley Way, Birmingham, B37 7GN, United Kingdom,
Oliver Bastert
Integrated development environments are critical for efficient development but
tooling for algebraic modeling languages has been lacking adoption of the latest
technologies, no single tool covering the whole application development process
so far. FICO Optimization Designer provides a novel approach for collaborative
web-based development of optimization solutions. It supports model development
in Xpress-Mosel, add-in predictive models implemented in R, deployment as on
premises or cloud applications, and debugging of models run from a FICO
Optimization Modeler application GUI.
3 - Adaptive Sampling Trust-region Optimization For Derivative-
based And Derivative-free Simulation Optimization Problems
Sara Shashaani, PhD, Purdue University, Lafayette, IN, 47901,
United States, Raghu Pasupathy
We present ASTRO and ASTRO-DF – adaptive sampling trust-region optimization
algorithms – or solving derivative-based and derivative-free continuous
simulation optimization problems. Sampling in ASTRO and ASTRO-DF is done
adaptively in an attempt to keep stochastic and structural errors in lock-step as
the algorithm iterates evolve through the search space. We show consistency and
discuss finite-time performance for a set of low to moderate dimensional
optimization problems.
4 - Designing Resilient Electric Networks Under Natural Hazards
Tomas Ignacio Lagos, Masters Degree Student,
University of Chile, 2017 - Pozuelo, Santiago, 7640031, Chile,
We present an optimization framework for the problem of designing a resilient
electric grid under high impact and low probability events, such as earthquakes.
We use an Optimization via Simulation approach to solve this discrete decision
problem, where the measure of resilience is the expected Energy Not Supplied
and its evaluation uses an existing simulator with historical earthquake data,
information of fragility curves of the components provided by FEMA, and an
Optimal Power Flow model. We use this framework to evaluate the effect of
different resilience measures and algorithms.
SA34
204-MCC
Hospital Operations
Sponsored: Manufacturing & Service Oper Mgmt,
Healthcare Operations
Sponsored Session
Chair: Carolyn Queenan, University of South Carolina, 1014 Greene St,
Columbia, SC, 29208, United States,
1 - The Impact Of Call Rotations And Geographic Localization Of
Patients On Hospital Performance
Douglas Morrice, University of Texas-Austin, Austin, TX, United
States, , Ying Chen,
Jonathan F Bard, Luci Leykum
We study the impact of an on-call rotation of teaching teams for admissions and
geographic localization of patients on hospital performance using patient-level
data from a Texas teaching hospital and simulation. Performance is measured by
length of stay in the Emergency Department, patient hand-offs, and bed
availability. The results of this study inform admission decision-making including
patient allocation to medical teams and admission capacity planning.
2 - Complementarities Or Substitutes Of Physician Employment
For Managing Patient Care: Effects Of Focus, Experience,
And Technology
David Zepeda, Northeastern University, Boston, MA, 02115,
United States, Gilbert N. Nyaga, Gary J. Young
A dramatic change in the health care industry is the increasing emphasis on
linking provider payment to clinical quality performance metrics. This is one of
several considerations leading hospitals to vertically integrate by acquiring
physician practices and employing physicians directly. Yet, there is little evidence
regarding whether this form of vertical integration leads to better performance on
clinical quality performance metrics. We empirically evaluate the relationship
between hospital employment of physicians and hospital performance on clinical
quality performance metrics. We also consider several hospital operational
considerations as potential moderators.