Technical Sessions – Monday July 11
Technical Sessions – Monday July 11
Technical Sessions – Monday July 11
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HC-01 IFORS 20<strong>11</strong> - Melbourne<br />
Thursday, 13:30-15:00<br />
� HC-01<br />
Thursday, 13:30-15:00<br />
Plenary Hall 3<br />
OR Applications in Renewable Energy<br />
Generation - I<br />
Stream: OR Applications in Energy<br />
Invited session<br />
Chair: Hayri Onal, University of Illinois, United States,<br />
h-onal@uiuc.edu<br />
1 - A MILP Model to Evaluate the Investment on Renewable<br />
Energy Sources<br />
Julio Flores, INGAR-UTN, Avellaneda 3657, S3002GJC, Santa<br />
Fe, Santa Fe, Argentina, jflores@santafe-conicet.gov.ar, Maria<br />
Analia Rodriguez, Aldo Vecchietti<br />
A multiperiod mathematical program is formulated with the aim of minimizing<br />
investment and operating costs of energy sources, so as to meet energy demands<br />
in Argentina. The main purpose is to replace fossil fuels used in transportation<br />
and electricity generation by renewable alternatives: biodiesel and bioethanol<br />
for transportation; wind turbines, hydrokinetic turbines and nuclear plants to<br />
produce electricity, and solar energy collectors for heating residential and commercial<br />
facilities. The results obtained show an alternative composition of Argentina’s<br />
energy matrix for the next 20 years<br />
2 - Decision Support Systems in Defining Sustainability of<br />
Alternative Bioenergy Production Chains<br />
Pekka Leskinen, Research Programme for Production and<br />
Consumption, Finnish Environment Institute, Joensuu, Finland,<br />
pekka.leskinen@ymparisto.fi, Katja Lähtinen, Tanja Myllyviita<br />
This presentation analyse how decision support systems can be utilized in defining<br />
sustainability of alternative bioenergy production chains. The sustainability<br />
analyzes were especially linked to regional characteristics, differences in raw<br />
materials used and end-products processed, and differences in scales of production.<br />
As a result of complexities in problem formulation, ecological, economic,<br />
social and cultural sustainability indicators used in the analysis were defined by<br />
using sophisticated decision support systems including cognitive mapping and<br />
preference assessment techniques.<br />
3 - An Extension of Dantzig-Wolfe Decomposition to Nonlinear<br />
Economic Equilibrium Problems: Computational<br />
Experience with a Large-Scale Model for US Biofuels<br />
Industry<br />
Hayri Önal, Agricultural and Consumer Economics, University<br />
of Illinois, 305 Mumford Hall, 1301 W. Gregory Dr., 61801,<br />
Urbana, Illinois, United States, h-onal@illinois.edu, Xiaoguang<br />
Chen<br />
Dantzig-Wolfe decomposition is an efficient way to solve large-scale linear<br />
programming models with decomposable structures. Although the theoretical<br />
foundation of the decomposition algorithm existed for decades, empirical<br />
applications to large-scale real world problems are not too many. We extend the<br />
decomposition method to solve a spatially explicit nonlinear economic equilibrium<br />
model for US agricultural and transportation fuel sectors and present an<br />
empirical application. Our computational experience shows that the solution<br />
time can be reduced dramatically with little accuracy loss.<br />
� HC-02<br />
Thursday, 13:30-15:00<br />
Meeting Room 101<br />
Shipping and Transportation Scheduling<br />
Stream: Scheduling<br />
Contributed session<br />
Chair: Natashia Boland, School of Mathematical and Physical<br />
Sciences, The University of Newcastle, 2308, Callaghan, NSW,<br />
Australia, natashia.boland@newcastle.edu.au<br />
88<br />
1 - Ship Scheduling with Time-Varying Draft Constraints<br />
Elena Kelareva, ANU/NICTA/OMC International, 601/422<br />
Collins St, 3000, Melbourne, VIC, Australia,<br />
elena@omc-international.com.au<br />
Existing ship scheduling algorithms only represent draft restrictions at ports<br />
as static constant values. Many ports have begun to use dynamic under-keel<br />
clearance rules to increase cargo throughput. Existing ship scheduling algorithms<br />
are unable to benefit from this improved accuracy, due to not accounting<br />
for time variation in vessel draft. We introduce a new problem formulation<br />
for ship scheduling at a port with deterministic time-varying environmentallydependent<br />
draft restrictions, and present an application that uses our formulation<br />
to maximise throughput at a major Australian port.<br />
2 - Call-a-ride Routing/ Scheduling Problems for Paratransit<br />
Services<br />
Hokey Min, Department of Management, Bowling Green State<br />
University, 3008C, 43403, Bowling Green, Ohio, United States,<br />
hmin@bgsu.edu, Emanuel Melachrinoudis<br />
The demand for paratransit services is expected to double over the next<br />
decades. In response to such increased demand, the public transit authority<br />
wants to improve paratransit services. However, paratransit services are more<br />
expensive and difficult to offer than traditional mass transit systems due to diverse<br />
customized services such as door-to-door or curb-to-curb services, peakhour<br />
feeder services, and overnight service. This paper develops a mathematical<br />
model and solution procedures to handle practical paratransit services.<br />
3 - Stockyard Allocation for Make-to-order Export Cargoes<br />
at a Bulk Goods Port<br />
Natashia Boland, School of Mathematical and Physical Sciences,<br />
The University of Newcastle, 2308, Callaghan, NSW, Australia,<br />
natashia.boland@newcastle.edu.au, Damon Gulczynski, Martin<br />
Savelsbergh<br />
As ships notify a make-to-order bulk goods export provider of their intended<br />
arrival at the port, planners must allocate resources to meet their orders. In particular,<br />
each cargo for a ship must be assigned a position on a stockyard pad,<br />
and a time to start building the stockpile. These decisions are very difficult to<br />
change closer to day of operations, so it is important that they are made with<br />
sufficient forethought. We present algorithms to automate and improve this<br />
decision process, and demonstrate their effectiveness on data from a real coal<br />
export operation<br />
� HC-03<br />
Thursday, 13:30-15:00<br />
Meeting Room 102<br />
Travel behaviour 2<br />
Stream: Travel Behaviour<br />
Invited session<br />
Chair: Emma Frejinger, KTH, Stockholm, Sweden,<br />
emma.frejinger@abe.kth.se<br />
1 - A Topological Route Choice Model for Metro<br />
Sebastian Raveau, Pontificia Universidad Catolica de Chile,<br />
Santiago, Chile, sraveau@uc.cl, Juan Carlos Muñoz, Louis de<br />
Grange<br />
We present a route choice model for transit networks that incorporates variables<br />
related to the topology and user knowledge of the network. The model also<br />
captures comfort through characteristics from the vehicles and stations, complementing<br />
the variables found in traditional models based on service levels<br />
and user socioeconomic characteristics. The results provide transfer valuations<br />
and demonstrate the importance of transit maps on user behavior. We conclude<br />
that these new variables significantly improve the explanatory and predictive<br />
ability of existing route choice specifications.<br />
2 - Integrating Latent Concepts in a Demand Model for<br />
Electric Vehicles<br />
Aurélie Glerum, Transport and Mobility Laboratory, École<br />
Polytechnique Fédérale de Lausanne (EPFL), Lausanne,<br />
Switzerland, aurelie.glerum@epfl.ch, Michaël Thémans, Michel<br />
Bierlaire
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