2016 INFORMS Annual Meeting Program

435 / 561

INFORMS Nashville – 2016
435
WC24
109-MCC
Scheduling Providers and Patients
Sponsored: Health Applications
Sponsored Session
Chair: Nadia Lahrichi, Ecole Polytechnique de Montreal, 2900 Boul.
Édouard-Montpetit, A-520.20, Montreal, QC, H3T 1J4, Canada,
1 - Adaptive Appointment Scheduling For Patient Centered
Medical Homes
Ali Kemal Dogru, OM PhD Student, University of Alabama,
Tuscaloosa, AL, 35487, United States,
Sharif Melouk
Incorporating patient centered medical home (PCMH) principles, we develop an
adaptive appointment scheduling model for a primary care setting. We propose a
simulation optimization approach to sequentially schedule appointments to
provide desirable schedules from the perspective of both patients and the medical
practice. Our data-driven algorithm is efficient and takes patient preferences into
account. We benchmark against myopic and optimal algorithms. Computational
results show that the adaptive scheduling approach provides significant value.Key
Words: Appointment Scheduling, Simulation, Patient Centered Medical Home
2 - Elective Surgery Scheduling Considering Patient Health Condition
Joonyup Eun, Vanderbilt University Medical Center, Nashville, TN,
37212, United States,
Sang-Phil Kim, Yuehwern Yih
Surgery scheduling considering patient health condition can contribute to
preventing patients from being exposed to the risk of sentinel events. This
research describes an operating room planning problem that considers
uncertainty in patient health condition. In addition, overutilization of operating
rooms is restricted to reduce a hospital’s surgical costs. We employ the sample
average approximation to identify the optimal assignment of surgeries and
analyze the assignment based on Ceteris Paribus.
3 - Scheduling Physicians To Improve Patient Flow In
Radiotherapy Centers
Nadia Lahrichi, Ecole Polytechnique de Montreal,
When a patient is referred to a radiotherapy center, a sequence of tasks
(consultation with the physician, a CT scan and the treatment planning) take
place. This phase is referred to as the pre-treatment and is followed by the
treatment per se. Bottlenecks in such centers are often related to the
unavailability of one of the human resources. Here, we focus on improving the
flow of patients during the pre-treatment phase through physician scheduling.
We consider uncertainty related to the arrival rate of patients and their profiles.
To solve this problem, we develop a stochastic Tabu search algorithm. It appears
to provide very high quality solutions when compared to the solutions obtained
by CPLEX.
WC25
110A-MCC
Logistics III
Contributed Session
Chair: Chun Hung Cheng, Associate Professor, Chinese University of
Hong Kong, Rm 607 William MW Mong Eng Bldg, Shatin NT, Hong
Kong,
1 - Identifying Collaborative Shipping Opportunities
Jeroen Belien, KU Leuven, Warmoesberg 26, Brussel,
1000, Belgium, , Stefan Creemers,
Robert Boute
Collaborative shipping, where companies bundle their transport loads, is a
growing trend in logistics. We present a tool that enables the quick identification
of potential partners based on their geographical compatibility, even when the
database of shipment lanes is very large. The tool allows the detection of
bundling, backhauling, and roundtrip opportunities, as well as “collect-and/or-
drop” opportunities where shipments are collected and/or dropped off en route.
The tool is currently being used (among others) by Tri-Vizor, a facilitator and
orchestrator of horizontal logistics partnerships, but is also applicable for any
company that is looking for collaborative shipping partners.
2 - A Multilocation Distribution System With Resupply And
Vehicle Routing
Stefan Minner, Technical University of Munich, Arcisstrasse 21,
Munich, 80333, Germany, Belma Turan,
Richard F. Hartl
We analyze the problem of delivering perishable products from a depot to stores
with the option of a second delivery per day. We determine initial delivery
quantity, timing and quantity of resupply and the sequence of visiting stores. The
stochastic inventory optimization problem is solved by stochastic dynamic
programming, while the tour problem is solved using variable neighborhood
search. The algorithm is tested on randomly generated test instances and a real-
world scenario is investigated. The results show a considerable improvement
compared to the “single-order” model.
3 - Minimizing Fuel Consumption And Gas Emissions In Urban
Distribution With An Instantaneous Energy Model
Hugo Tsugunobu Yoshida Yoshizaki, Associate Professor,
University of Sao Paulo, Av. Almeida Prado Trav 2, 128,
Cidade Universitaria, Sao Paulo, 05508-900, Brazil,
Anderson Oliveira Paschoal
Route optimization is an important tool for reducing fuel consumption and green
house gas emissions. This paper show test results from a Pollution Routing
Problem (PRP) model applied to an actual problem of urban distribution in the
city of São Paulo. An instantaneous energy model (CMEN) has been used to
obtain objective function parameters considering road slopes (using Graphhopper
maps), vehicle speed, payload, time windows, and traveled distances, showing 2
to 10% savings. Potential operational strategies been also been evaluated, as
dropping first the heaviest delivery.
4 - Optimal Design For Block Stacking Warehouses
Shahab Derhami, PhD Candidate, Auburn University, 3301 Shelby
Center, Auburn, AL, 36849, United States,
Jeffrey Smith, Kevin Gue
Storing pallets of SKUs on top of one another on a warehouse floor is known as
block stacking. The arrangement of lanes in the layout of this system significantly
impacts utilization of the storage space. We present a new approach to measure
waste of storage space for block stacking and develop a model to calculate the
optimal lane depth with respect to space utilization for a layout-free storage area.
We, also propose a mixed integer programming model to design the optimal
layout for the warehouses using block stacking. Several effective solution
techniques are developed to solve the model.
5 - A Location Based System For Managing Cart Operations At A
Mail Facility
Chun Hung Cheng, Associate Professor, Chinese University of
Hong Kong, Rm 607 William MW Mong Eng Bldg, Shatin NT,
Hong Kong, Yong-Hong Kuo
We have developed a location based system for managing cart operations at a mail
facility. The RFID-tag attachments to carts and reader mounts at the top of the
building allows the facility operators to locate target carts quickly. We have also
conducted an initial analysis of data collected using this technological
infrastructure to understand issues on cart movements and operational efficiency.
WC26
110B-MCC
Information Systems II
Contributed Session
1 - Why Do Firms Outsource Empirical Evidence For Resource
Constraint And Slack Mechanisms
Shivom Aggarwal, IE Business School, Instututo de Empresa S.L.,
CIF B82334319, Calle de Maria de Molina, 12 Bajo, Madrid,
28006, Spain, , Kiron Ravindran,
Gautam Ray
Why do firms outsource Information Technology (IT)? The literature is divided on
whether IT Outsourcing is a cost-reduction strategy or a growth strategy. We
argue that organizations can do both, depending on the degree of resource
constraint and slack availability under certain environmental conditions
(competition). We found empirical evidence of these underlying mechanisms
using a longitudinal dataset on IT outsourcing contracts. We provide important
implications for IS scholars working on IT Outsourcing and practitioners from
outsourcing firms as well as IT vendors.
WC26