Technical Sessions – Monday July 11

Tuesday, 17:00-18:30
� TD-01
Tuesday, 17:00-18:30
Plenary Hall 3
OR Consultancy and Case Studies 2
Stream: OR Practice
Invited session
Chair: John Ranyard, The Management School, Lancaster University,
Department of Management Science, LA1 4YX, Lancaster,
Lancashire, United Kingdom, jranyard@cix.co.uk
1 - Modelling Human Services Networks At Centrelink
David Sier, Mathematics, Informatics and Statistics, CSIRO,
Private Bag 33, Clayton South MDC, 3168, Melbourne, Victoria,
Australia, David.sier@csiro.au, Mark Horn, Warren Jin, Leorey
Marquez, Ross Sparks, Stuart Woodman, Jane Athanasiadis,
Donald Wolters, Lance Snowdon, Lisa Parker
Abstract: Centrelink delivers a range of payments and services to the Australian
public. It supports people in need and assists people to become self sufficient.
This talk describes a network modelling approach to the evaluation of Centrelink
customer pathways, which comprise sequences of activities that customers
carry out while receiving support. Our aim is to identify particular paths in
the network of customer interactions with Centrelink to inform best practice,
identify service delivery gaps and improvement. We describe the results from
simulation models and longitudinal parametric statistical models based on customer
history records and their use to predict potentially efficient pathways for
customers to follow.
2 - Artisanal Fisheries Analysis using the DPSIR Framework
and System Dynamics: The Case of Dredge Fisheries
in Portugal
Ana Camanho, Faculdade de Engenharia, Universidade do Porto,
DEMEGI - GEIN, Rua Dr. Roberto Frias, 4200-465, Porto,
Portugal, acamanho@fe.up.pt, Joana Martins, Manuela Maria
Oliveira, Miguel Gaspar
This paper explores the application of the DPSIR framework to fisheries. A set
of indicators that represent the key features of artisanal fisheries are applied to a
case study of artisanal dredge fisheries in Portugal. This is followed by the development
of a System Dynamics model to predict the behavior of the fisheries
system under different assumptions concerning the evolution of the economic
context. The study of dredge fisheries illustrates the potential of this approach
to provide a multidisciplinary perspective of fisheries systems, including economic,
social and ecologic dimensions.
3 - Delivery Fee Design for Logistics Partnerships
Harihara Natarajan, University of Miami, 33124, Coral Gables,
FL, United States, hnataraj@exchange.sba.miami.edu, Anant
Balakrishnan
As manufacturers and distributors increasingly develop close partnerships, they
must properly negotiate the terms of collaboration and interaction with their
partners. Compensation schemes play an important role in fostering such collaborations.
Motivated by a problem facing a large building-products manufacturer,
we propose an optimization model to determine delivery fees, using fee
tables, for a manufacturer’s distribution partners. Our industry partner developed
fee tables using our model and achieved significant savings. In this talk,
we will describe our model and application.
� TD-02
Tuesday, 17:00-18:30
Meeting Room 101
Issues in Game Theory
Stream: Game Theory
Invited session
Chair: Ryusuke Hohzaki, Department of Computer Science, National
Defense Academy, 1-10-20 Hashirimizu, 239-8686, Yokosuka,
Kanagawa, Japan, hozaki@cc.nda.ac.jp
IFORS 2011 - Melbourne TD-03
1 - Aggregate Monotonic Stable Single-valued Solutions
for Cooperative
Pedro Calleja, Economical, Financial and Actuarial
Mathematics, University of Barcelona, Facultat de CC.
Economiques i Empresarials, Av. Diagonal 690, 08034,
Barcelona, Spain, calleja@ub.edu, Carles Rafels, Stef Tijs
This paper considers single-valued solutions of transferable utility cooperative
games that satisfy core selection and aggregate monotonicity. The main result
is that for an arbitrary set of players, core selection and aggregate monotonicity
are compatible with individual rationality, the dummy player property and
symmetry for single-valued solutions defined either on the set of all games, or
on the set of essential games (those with a non-empty imputation set). This
result solves an open question in the literature noted by Selten and quoted in
Young et al. (1982).
2 - An Axiomatization of Success in Voting Situations
Josune Albizuri, Applied Economics IV, UPV/EHU, Fac.
Economics, Lehendakari Aguirre, 83, 48015, Bilbao, Spain,
elpalirm@bs.ehu.es, Annick Laruelle
We provide an axiomatization of the measures of success in voting situation,
defined by Laruelle and Valenciano (2005. These measures are associated with
a probability distributions over the set of all possible vote configurations. A
measure of the first type gives the probability for a voter of having the result
he voted for. A measure of the second type gives the probability for a voter
of having the result he voted for conditioned on voting yes. And the last ones
give the probability for a voter of having the result he voted for conditioned on
voting no.
3 - A Cooperative Model of Search Game
Ryusuke Hohzaki, Department of Computer Science, National
Defense Academy, 1-10-20 Hashirimizu, 239-8686, Yokosuka,
Kanagawa, Japan, hozaki@cc.nda.ac.jp
Most of search games have been studied in non-cooperative contexts. Here we
deal with a cooperative search game, where multiple searchers behave cooperatively
to detect a target. First we discuss the possibility of a coalition among the
searchers and define a characteristic function. The function measures the randomness
on whether the searchers can detect the target in the search operation.
We complete the cooperative modeling by giving a methodology of distributing
the obtained target value among the coalition members or a point in the core.
� TD-03
Tuesday, 17:00-18:30
Meeting Room 102
Metaheuristics Applications to Production
Planning with Deterioration and
Perishability
Stream: Meta-heuristics
Invited session
Chair: Julia Pahl, IWI - Wirtschaftsinformatik, University of
Hamburg, Von-Melle-Park 5, 20146, Hamburg, Germany,
pahl@econ.uni-hamburg.de
1 - Tactical Production Planning with Load-dependent
Lead Times and Depreciation Effects: Model Formulation
and Solution Finding using Heuristic Methods
Julia Pahl, IWI - Wirtschaftsinformatik, University of Hamburg,
Von-Melle-Park 5, 20146, Hamburg, Germany,
pahl@econ.uni-hamburg.de
Lead times impact the performance of supply chains. Their consideration is
essential, because long lead times impose high costs due to rising work in process,
inventory levels and large safety stocks caused by increased uncertainty.
Planning models typically treat lead times as input data, but often output of a
planning model implies capacity utilization which, in turn, implies lead times.
The situation gets inflated if product lifetimes are restricted and deterioration
effects increase utilization. We give a model formulation propose heuristic
methods to solve such complex problem.
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