Technical Sessions – Monday July 11

� HC-12
Thursday, 13:30-15:00
Meeting Room 205
Maritime Transport
Stream: Contributed Talks
Contributed session
Chair: Shigeki Toriumi, Information and System Engineering, Chuo
University, 1-13-27 Kasuga, 112-8551, Bunkyo-ku, Tokyo, Japan,
toriumi@taguchi-lab.ise.chuo-u.ac.jp
1 - Multicriteria and Multivariate Analysis for Construction
of a System to Improve Brazilian Port Performance
Armando Madeira, Engenharia Mecânica Aeronáutica, ITA
(Aeronautics Institute of Technology), Rua Cel Moreira César
259 apto 201, Icaraí, 24230-052, Niterói, RJ, Brazil,
madeira_ita@yahoo.com.br, Moacyr Machado Cardoso Junior,
Anderson Correia, Mischel Carmen N. Belderrain
This paper presents a model for obtaining an attractiveness score of container
terminals based on multicriteria methodology. All operational and price indicators
from the annual report at ANTAQ were considered in this study. Factor
Analysis was used to reduce the number of criteria and ensure the independence
among them. The model has proved to be satisfactory in the ordering
of container terminals considering the available data from 2006 to 2009. The
model also provides the decision maker with both a local and a global evaluation
leading to improvement of port services.
2 - Time-space Network Analysis of Piracy Activity in Maritime
Transportation
Daisuke Watanabe, Department of Logistics and Information
Engineering, Tokyo University of Marine Science and
Technology, 2-1-6,Etchujima, 135-8533, Koto-ku, Tokyo, Japan,
daisuke@kaiyodai.ac.jp, Shigeki Toriumi
In this presentation, we find geographical features of hot spot for sea piracy
using the map which shows all the piracy and armed robbery incidents reported
to the IMB Piracy Reporting Centre. First, we develop a time-space network
of vessels using the LMIU’s vessel movements database. Then, we analyze
vessels sailing in the region where the piracy incidents occur.
3 - Containerized Goods Security
Halima El Adnani, Laboratory CERENE, University of Havre,
France, heladnani@gmail.com, Jaouad Boukachour, Mehdi
Najib, Charles H. Fredouet, Dalila Boudebous
Our work concerns, in one hand, the tracking of containerized goods movement
in and through the port of Le Havre and through the global Supply Chain, and
other hand, maritime container security. Typically, we have two independent
systems. The goal of the first one is dedicated to dangerous goods through and
outside the port of Le Havre, by sending alert and threats. The second system
focus on risks of the security failures and threats associated with container
transportation.
4 - An External Cost Calculator for Transport: Assessing
the Sustainability of Different Transport Options
Tom van Lier, MOSI-T, Vrije Universiteit Brussel, Pleinlaan 2,
Building M room M219, 1050, Brussels, Belgium,
tom.van.lier@vub.ac.be, Cathy Macharis
The framework for an external cost calculator for transport is described. Based
on current knowledge of external cost calculation, a preliminary version of the
calculator is developed, which is applied in two case studies. First, it is used to
examine to what extent external costs are avoided when choosing barge transport
via an inland port instead of truck transport. Secondly, the tool calculates
the external transport cost savings of internal co-loading opportunities in
a multinational company based on a discrete event simulation. Suggestions for
further development of the tool are proposed.
IFORS 2011 - Melbourne HC-13
� HC-13
Thursday, 13:30-15:00
Meeting Room 206
Mathematical Programming II
Stream: Continuous and Non-Smooth Optimization
Invited session
Chair: Erik Kropat, Department of Computer Science, Universität der
Bundeswehr München, Werner-Heisenberg-Weg 39, 85577,
Neubiberg, Germany, erik.kropat@unibw.de
Chair: Gerhard-Wilhelm Weber, Institute of Applied Mathematics,
Middle East Technical University, ODTÜ, 06531, Ankara, Turkey,
gweber@metu.edu.tr
Chair: Shunsuke Hayashi, Graduate School of Informatics, Kyoto
University, Yoshida-Honmachi, Sakyo-Ku, 606-8501, Kyoto, Japan,
shunhaya@amp.i.kyoto-u.ac.jp
Chair: Ekaterina Kostina, Department of Mathematics and Computer
Science, University of Marburg, Hans-Meerwein-Str., 35032,
Marburg, kostina@mathematik.uni-marburg.de
1 - A Unified Classification Model Based on Robust Optimization
Akiko Takeda, Keio University, Japan, takeda@ae.keio.ac.jp,
Hiroyuki Mitsugi
For binary classification, there exists a wide variety of machine learning algorithms
such as support vector machine, minimax probability machine (MPM),
Fisher discriminant analysis (FDA), and so on. The purpose of this work is to
provide a unified optimization problem for those classifiers using a robust optimization
approach. There are several benefits obtained from the unified model.
One of the benefits is that clarified relationship between MPM and FDA leads
to a new maximum margin classifier based on FDA. We present some of the
promising numerical results.
2 - Evaluating an e-customer Value by Linear Programming
Tomohito Nakagawa, Web Business Technology, The Kyoto
College of Graduate Studies for Informatics, 502 Goshomae Sky
Mansion 419 Kusuriya-cho Kamigyo-ku, 602-0918, Kyoto,
Japan, valuation123@gmail.com, Jiatong Teng, Hui Jiayi,
Maotao Chen, Hong Seung Ko
It is a very important issue to retain the most valuable e-customer in e-business.
In this paper, we propose a selecting way for picking up the most valuable ecustomer
who should be retained by calculating e-customer evaluation factors
with Linear Programming. These factors are variables for evaluating an ecustomer
value and derived from motives in the 7 steps model of e-customer
behavior process proposed by Ko et al. As a result, it is possible to build up the
effective marketing strategy for retaining the most valuable e-customer.
3 - Eco-Finance Networks: Recent Continuous-Discrete
Models, Optimization and Control
Gerhard-Wilhelm Weber, Institute of Applied Mathematics,
Middle East Technical University, ODTÜ, 06531, Ankara,
Turkey, gweber@metu.edu.tr, Erik Kropat, Ozlem Defterli,
Armin Fügenschuh, Busra Zeynep Temocin
This talk represents the recent research state of eco-finance and geneenvironment
networks, their modeling and optimization. That includes aspects
of finance, medicine and education. We include uncertainty in polyhedral,
ellipsoidal and SDE forms. For turning from time-continuous to -discrete
models, we use advanced Heun’s schemes. We present hybrid models and use
stochastic hybrid control.
4 - Convergence of Constraint Gauss-Newton Methods,
Well-Posedness of Parameter Estimation Problems and
the Reliability of Confidence Estimates
Ekaterina Kostina, Department of Mathematics and Computer
Science, University of Marburg, Hans-Meerwein-Str., 35032,
Marburg, kostina@mathematik.uni-marburg.de
Gauss-Newton methods are variants of Newton methods where the Hessian of
Lagrangian is approximated by ignoring second order terms. Gauss-Newton
methods show good local convergence in so-called small residual problems. In
large residual problems, where the second order information is too significant
to be ignored the performance of the Gauss-Newton is poor or even divergent.
In this talk we show that the bad performance of Gauss-Newton is an advantage
rather than a disadvantage of the method, since it indicates ill-posedness of the
problem, insufficient modelling or lack of data.
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