Technical Sessions – Monday July 11

� HC-08
Thursday, 13:30-15:00
Meeting Room 107
Multi-criteria Dynamic Models
Stream: Dynamic Programming
Invited session
Chair: Lidija Zadnik Stirn, Biotechnical Faculty, University of
Ljubljana, Vecna pot 83, 1000, Ljubljana, Slovenia,
lidija.zadnik@bf.uni-lj.si
1 - A Multi-criteria, Group and Dynamic Model for Classifying
Industrial Buildings with respect to Their Long Term
Impact on Environment
Lidija Zadnik Stirn, Biotechnical Faculty, University of
Ljubljana, Vecna pot 83, 1000, Ljubljana, Slovenia,
lidija.zadnik@bf.uni-lj.si
Group decision methods are efficiently used for modeling and solving many
multi-criteria and multi-period processes. We evaluate several group methods
within the frame of AHP, using satisfactory index, fitting performance index
and three new measures. Then, we generate a hierarchical dynamic model
based on group AHP methods for weighting multiple criteria with interval comparison
matrices. Finally, the model is applied to the problem of selecting the
most appropriate industrial building construction in respect to the long term
impact on environment and opinions of experts and NGOs.
2 - Some Issues in the Strategic University Management
Nurul Nazihah Hawari, Universiti Utara Malaysia, Malaysia,
nnazihah@uum.edu.my, Razman Mat Tahar
Universiti Utara Malaysia (UUM) has been described as the first Malaysian
university with a broad Management scope. Today, in the quest to be among
notable universities in the nation and world, UUM is striving hard to be a
comprehensive research university that blends the main elements of national
agenda, education missions and sustainable research tradition. One of the core
strategies is to develop a culture of excellence in scholarly activities. This paper
describes how system thinking can help in developing a shared vision within
the University for achieving the ambition.
3 - Dynamic Programming Model of Sharing Profits for Single
Period Split order Supply Chain
Arshinder Kaur, Department of Management Studies, Indian
Institute of Technology Madras, 600036, Chennai, Tamilnadu,
India, arshinder@gmail.com, Kalpana P
This paper primarily deals splitting of single period order into two orderings
and proposes a profit sharing mechanism which fairly shares the profit gain
among the supply chain members. The objective of this is to develop a complete
mathematical with the help of dynamic programming approach, which
incorporates the profit sharing factor in the model itself, that maximizes the
expected profit of the supply chain. The time at which the second ordering has
to be done is also considered as a decision variable in this model. The performance
indicators like expected profit of the supply chain members and the
number of units to be ordered in the second period are evaluated in this paper.
4 - A Novel Scheduling Maintenance Management Method
for Wind Farms
Fausto Pedro Garcia Marquez, Administración de Empresas,
Universidad de Castilla-La Mancha, ETSII, Edificio Politecnico,
C/ Camilo Jose Cela, s/n, 13071, Ciudad Real, Spain,
FaustoPedro.Garcia@uclm.es, Diego Ruiz-Hernandez
The high cost of the machinery and infrastructure of a windturbines, combined
with the difficulty of access by human resources to them, requires to use a complex
maintenance systems to achieve a high availability, reliability, maintainability
and safety. We analyse the maintenance scheduling problem for wind
farms. The problem is modelled as a multi-armed restless bandit problem. In
this work we deploy Whittle index heuristics to a collection of case studies in
order to minimize the operation and maintenance costs, as well as to reduce the
chances (and likely huge costs) of a breakdown.
IFORS 2011 - Melbourne HC-09
� HC-09
Thursday, 13:30-15:00
Meeting Room 108
Rescue and Response in Disasters
Stream: Emergency Evacuation and Response
Invited session
Chair: Elise Miller-Hooks, University of Maryland, Civil and
Environmental Engineering Dept., Parkville, 20742, College Park,
MD, United States, elisemh@umd.edu
1 - Resource Location and Relocation Models with Rolling
Horizon Forecasting for Wildland Fire Planning
Joseph Chow, Institute of Transportation Studies, University of
California, Irvine, 4000 Anteater Instruction and Research Bldg
(AIRB), 92697, Irvine, CA, United States,
joseph.chow@gmail.com, Amelia C. Regan
Relocation models are proposed for air tanker initial attack basing in California
for wildland fires that require multiple, co-located air tankers. An index
from NFDRS is modeled as a discrete mean-reverting process and estimated
from 2001-2006 data from each of 12 CDF units being studied. The standard
p-median formulation is changed into a k-server p-median problem to assign
multiple servers to a node, and extended into a chance-constrained dynamic relocation
problem. Results identify a threshold for preferring regional relocation
with rolling horizon forecasting from fire weather data.
2 - Small Airport Scheduling in Natural Disaster Rescue
and Relief Situations - The Static Model
Guoqing Wang, Department of Business Administration, Jinan
University, Guangzhou, China, tgqwang@jnu.edu.cn
In this paper we introduce the operation situations of small size airports arising
in massive natural disaster rescue and relief processes like those in Haiti and
Yushu earthquakes. We model the airport transportation operation system as a
2 stage flexible reentrant flowshop with no intermediate buffer in process. The
first stage consists of a single machine, i.e., the runway, and the second stage
includes several identical parallel machines i.e., apron stands. Each incoming
flight has three operations, landing, unloading, and takeoff, and all operations
have to be processed in that order. The objective is to schedule a given set of incoming
flights in order to minimize the makespan. We analyze the complexity
of the problem, and propose a heuristic to deal with it.
3 - Simulation Based Busy Probability Estimation for Deterministic
Emergency Service Location Models
Tonguc Ünlüyurt, Manufacturing Systems/Industrial
Engineering, Sabanci University, Orhanlý Tuzla, 34956,
Ýstanbul, Turkey, tonguc@sabanciuniv.edu, Yasir Tunçer
Many deterministic models have been proposed for locating emergency services
in the literature. Most of these models are set covering models with different
objective functions and possibly with some side constraints. One major
drawback of such models is that some of the locations may not be covered
when all the service providers at a certain service point are busy. In this study,
we aim to estimate these busy probabilities by simulating various scenarios for
well known deterministic models proposed in the literature.
4 - Optimal Team Deployment in Urban Search and Rescue
Elise Miller-Hooks, University of Maryland, Civil and
Environmental Engineering Dept., Parkville, 20742, College
Park, MD, United States, elisemh@umd.edu, Lichun Chen
The problem of optimally deploying urban search and rescue teams to disaster
sites in post-disaster circumstances is formulated as a multistage stochastic
program. A portion of sites requiring assistance arrive dynamically over the
decision horizon and demand levels at the sites and on-site service times are
known only with uncertainty a priori. Decisions are taken dynamically over the
decision horizon as situational awareness improves. An exact solution technique
is proposed for its solution.
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