[PDF] ALIO Back Matter

SB01
3 - On Some Representation Mathematical Models for the Simple
Assembly Line Balancing Problem
Fernando Marval, Universidad de Oriente Núcleo de Sucre, Av.
Universidad Cerro Colorado, Cumaná, 6101, Venezuela,
fmarval@sucre.udo.edu.ve
The purpose of this work is to show some mathematical models which represent the
simple assembly line balancing problem (SALBP). From this SALBP are always
derived two kinds of problem, type-I and type-II problem, depending on the fixed
parameter.
4 - Model of Planning of the Labor Capacities
Òscar Mayorga Torres, Ingeniero, Universidad Libre de Colombia -
Universidad Manuela Beltrán, Calle 8 A No 5-80, Av. Circunvalar
No 60-00, Bogotá, Cu, 0306, Colombia, omt1974@yahoo.com,
Leila Nayibe Ramírez Castañeda
This article presents the theoretical model to determine the planning of the labor
capacities in productive organizations; the model generates information to establish
bottleneck, extension of the capacity programmed and indicating the efficiency and
effectiveness of the organization in terms of productivity and cost.
Sunday, 11:45am - 1:15pm
■ SB01
Aula Magna- First Floor
Tutorial: OR Challenges Arising from Solving
Industrial Applications
Cluster: Tutorials
Invited Session
Chair: Mikael Rönnqvist, Professor, Norwegian School of Economics and
Business, Helleveien 30, Bergen, 5045, Norway,
mikael.ronnqvist@nhh.no
1 - OR Challenges Arising from Solving Industrial Applications
Mikael Rönnqvist, Professor, Norwegian School of Economics and
Business, Helleveien 30, Bergen, 5045, Norway,
mikael.ronnqvist@nhh.no
When implementing decision support systems in practice there is often a number of
special aspects and requirements that must be considered. Many of these can be
very challenging from an OR perspective and/or are counterproductive or nonlogical
for optimality. In this tutorial, we will describe and discuss a number of such
industrial examples. We discuss the reasons behind the requirements, the OR
challenge, how they were approached and implemented, and the results and
general experiences made. The applications cover operational and real time
applications for several areas including routing, inventory and process control.
■ SB02
Aula 360- Third Floor
OR/MS Applications to Humanitarian Logistics
Cluster: OR/MS For Disaster Management
Invited Session
Chair: Luk N. Van Wassenhove, Professor, INSEAD, Technology
Management, Blvd de Constance, Fontainebleau Cedex, 77305, France,
luk.van-wassenhove@insead.edu
Co-Chair: Alfonso J. Pedraza Martínez, PhD Candidate, INSEAD,
Boulevard de Constance, Fointanebleau Cedex, 77300, France,
alfonso.pedrazamartinez@insead.edu
1 - Incentives in Humanitarian Fleet Management
Alfonso J. Pedraza Martínez, PhD Candidate, INSEAD,
Boulevard de Constance, Fointanebleau Cedex, 77300, France,
alfonso.pedrazamartinez@insead.edu, Sameer Hasija,
Luk N. Van Wassenhove
We study incentives in humanitarian last mile fleet management. Typically,
international humanitarian organizations are managed from headquarters in
developed countries. Headquarters recommend policies to national offices, the ones
implementing aid programs. Our extensive field research shows that often
headquarters policies are not followed by national offices, creating system
inefficiencies. We show that aligning incentives imposes challenges that are unique
to humanitarian operations.
ALIO / INFORMS International – 2010
28
2 - Emergency Supply Chain Management in the Case of
Epidemics Containment
Thomas K. Dasaklis, PhD Student, Department of Industrial
Management, University of Piraeus, 80 Karaoli & Dimitriou Str.,
Piraeus, 18534, Greece, dasaklis@unipi.gr, Nikos P. Rachaniotis,
Costas P. Pappis
Effective control of an epidemic outbreak calls for the establishment and
management of an emergency supply chain. Resources need to be deployed rapidly
and managed in conjunction with available information and financial resources in
order to contain the epidemic before it reaches uncontrollable proportions. This
paper analyzes relevant logistics operations, reviews OR/MS literature on emergency
supply chain management for epidemics control and pinpoints existing gaps.
3 - Location of Warehouses in Disaster Relief Operations Planning
Stefan Rath, University of Vienna, Bruenner Strafle 72, Vienna,
1210, Austria, Stefan.Rath@univie.ac.at, Walter Gutjahr
The problem studied occurs in the context of operations planning by international
aid organizations in response to natural disasters. A supply system for medium term
disaster relief has to be established. Warehouse locations and delivery tours are to be
determined. We use a three-objective optimization model, with economic and
humanitarian objective functions. As solution method, we propose a math-heuristic,
based on a MILP formulation and iteratively added constraints.
4 - Modeling Seasonality and Strain Mutation in a Pandemic Influenza
Julie Swann, Professor, Co-Director of Humanitarian Logistics, SCL,
Georgia Institute of Technology, Atlanta, GA, United States of
America, jswann@isye.gatech.edu, Pengyi Shi, Pinar Keskinocak,
Bruce Lee
Multiple waves of attack in a pandemic influenza has been observed in the past. We
investigated the reasons of such multi-attacks by modeling two potential factors:
seasonal change and strain mutation. Based on a spatial-temporal disease spread
model incorporated with the two factors, our simulation showed that multiple
attacks may happen under the joint effect of seasonality and mutation. We
reproduced a mortality pattern with 3 peaks similar to the one observed in 1918
and note implications for planning of pandemic response.
■ SB03
Aula 361- Third Floor
Health Care II
Contributed Session
Chair: Luis Hernández, Universidad de los Andes, Bogotá, Colombia,
Calle 100 #49-85 IN 2 AP 402, Bogotá, Colombia,
gabr-her@uniandes.edu.co
1 - Healthcare Systems are Dynamic and Complex Systems:
A New Look through Systems Engineering Methodology
Jean Hosseini, Enterprise Solutions Analyst, Intelekt, 5 Evelen Raod,
Waban, MA, 02468, United States of America, ardint@yahoo.com
Healthcare systems are dynamic and complex social systems. Any dynamic system
that consists of a combination of human behavior, politics, regulations and
automated systems requires application of discipline, methodology and tools of
systems engineering and management sciences. In this paper we will discuss the
tools and concepts of systems engineering and how they can benefit healthcare
systems.
2 - Alternative Signal Criteria in Public Health Surveillance
Saylisse Davila, Arizona State University, 151 E Broadway Rd #210,
Tempe, AZ, 85282, United States of America, saylisse@asu.edu,
George Runger, Eugene Tuv
Public health surveillance collects, analyzes, and interprets public health data to
understand trends and detect changes in disease incidence rates (Thacker, 2000). We
will show that by transforming public health surveillance into a supervised learning
problem we are able to generate a series of simple signal criteria that can aid in the
early detection of an increase in the incidence rate of a disease.
3 - Disease Progression Modeling for Colorectal Cancer
Chaitra Gopalappa, University of South Florida, 4202 E Fowler Ave,
Tampa, FL, United States of America, chaitra@mail.usf.edu
Developing a model to obtain early intervention strategies for colorectal cancer
requires a model of the polyp progression. We present a probability model for
obtaining population-specific progression rates between stages of colorectal polyps,
and present results for rates based on race and family history of colorectal cancer.