Technical Sessions – Monday July 11

MC-18 IFORS 2011 - Melbourne
4 - A Bi-objective Approach to Reschedule New Jobs in an
One Machine Model
Jacques Teghem, Mathro, Faculté Polytechnique de Mons, 9, rue
de Houdain, 7000, Mons, Belgium, jacques.teghem@fpms.ac.be,
Daniel Tuyttens
We consider an one machine scheduling model with a classical objective - either
total completion time or maximal tardiness - and two sets of jobs: one with
initial jobs already scheduled and one with new jobs which must be inserted in
the schedule. As this reschedule can create a disruption, a second disruption
objective - which can be formulated in four different ways- is considered.So
there exist eight possibilities for this pair of objectives. This model has been
introduced by Hall and Potts, minimizing either a linear aggregation of the two
objectives or the initial objective under a constraint imposing an upper limit to
the disruption objective. In this paper the aim is to obtain the set of efficient
schedules in regard of the two objectives. Algorithms are provided for the eight
possible bi-objective problems.
� MC-18
Monday, 16:00-17:30
Meeting Room 215
Applications of DEA in Agriculture and
Farm efficiency
Stream: Data Envelopment Analysis
Invited session
Chair: Gloria Rodriguez Lozano, Faculty of Economics Sciences,
National University of Colombia, Ciudad Universitaria, Facultad de
Ciencias Económicas Edificio 311 Of. 308, Bogota, Colombia,
girodriguezl@unal.edu.co
1 - A Multistage Method to Measure Efficiency at Estonian
Dairy Farms
Reet Poldaru, Institute of Economics and Social Sciences,
Estonian University of Life Sciences, Kreutzwaldi 1, 0020,
50413, Tartu, Estonia, reet.poldaru@emu.ee, Jyri Roots
This paper investigates the formulation of multi-stage (three-stage) DEA models
for milk production at Estonian dairy farms and analyses the results of modelling.
The data is a balanced panel of Estonian dairy farms drawn from FADN
database observed during the period of 2000 to 2009. The method starts with
the data envelopment analysis (DEA) to estimate efficiency scores and the input
and output slacks. The second stage is a stochastic frontier analysis (SFA)
to explain the variation in performance measured in the first stage. In the third
stage we then estimate scores again using adjusted data from the second stage.
2 - Nonparametric Approach for Measuring the Productivity
Change and Assessing the Water Use Efficiency in
the Irrigated Areas of Tunisia
Fraj Chemak, Economie Rurale, INRAT, Rue Hedi Karray, 2049,
Ariana, Tunisia, fr_chemak@yahoo.fr
This work aims to analyze technical efficiency, water use efficiency and productivity
change of the irrigated areas. Farm surveys have been carried out
during 2003 and 2007 cropping years and technology performance has been
assessed using the DEA model. Malmquist index has been computed in order
to characterize the productivity change. The results reveal that the technical
efficiency has increased by 17% leading to an improvement of the water use
efficiency up to 22%. The technical efficiency change as well as the technical
change reveal a positive impact on the productivity change.
3 - Economics of Proliferation of Small Tea Gardens in
North Bengal — A Study of Optimum Economic Size
by Applying DEA
Ajit Kr Ray, Department of Commerce, University of North
Bengal, Dakhshini Apartment, 17/18/4 J.C.Bose Road,
Subhaspally, 734001, Siliguri, West Bangal, India,
akr.nbu@gmail.com
Century old Tea industry in the eastern part of India has traditionally been considered
as large scale. This perception has worn away by the emergence of the
small tea gardens of local entrepreneurs. A key identifying factor which allows
small tea plantations to proliferate is perhaps low initial capital investment, besides
the adaptation of the concept that tea can be grown as a small holder
crop. We studied the economics of proliferation and the optimum efficient size
of small tea garden by applying DEA on the basis of field survey data.
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4 - Measurement of the Relative Technical Efficiency of
the Farms Associated to Coounion in Guasca Cundinamarca
Colombia
Gloria Rodriguez Lozano, Faculty of Economics Sciences,
National University of Colombia, Ciudad Universitaria, Facultad
de Ciencias Económicas Edificio 311 Of. 308, Bogota,
Colombia, girodriguezl@unal.edu.co, Wilson Oviedo Garcia
This research measures the relative technical efficiency in twelve cattle farms
associated with the Cooperative Coounión in the municipality of Guasca-
Cundinamarca, Colombia, by DEA, for a period of time between 1 June 2008
to May 31, 2009. Using six variables in two models CRS with input orientation.
For the first model: Inputs: nutrition, maintenance, milking; and Output:
milk. Second model: Inputs: nutrition, maintenance, Outputs: meat and calves.
� MC-19
Monday, 16:00-17:30
Meeting Room 216
Games and OR Education
Stream: Education and Operations Research
Invited session
Chair: James Cochran, Department of Marketing and Analysis,
Louisiana Tech University, PO Box 10318, 71272, Ruston, LA,
United States, jcochran@cab.latech.edu
1 - An Educational Game in Collaborative Logistics
Sophie D’Amours, FORAC Consortium, G1V 0A6, Quebec,
Canada, Sophie.Damours@gmc.ulaval.ca, Mikael Rönnqvist
We describe an educational game in collaborative logistics. The game is based
on an award-winning application in cost allocation in transportation. The purpose
of the game is to acquire an understanding of negotiation, coalition building
and cost/profit sharing when the players have different power and hold different
levels of information. The objective of the game is to find an efficient
plan and to share the benefits of the collaboration. We describe the underlying
case study, basic concepts in game theory, and outline the game and discuss experiences
from running the game in several countries and those with students
registered in business schools, engineering and forestry faculties.
2 - Teaching OR with Games and Discovery
Kevin Hutson, Furman University, SC 29613, Greenville, SC,
United States, kevin.hutson@furman.edu
After teaching several introductory OR courses, I found that students did not internalize
the course material as I would have liked and walked away with a mechanical
understanding of OR. After this, I adopted a problem-based approach
to teaching the course, focusing on three main topics: formulation, algorithm
design, and economic interpretations. In this talk, I discuss how this problembased
approach allows students to discover and internalize concepts for themselves
and allows for the use of games to illuminate formulations, mathematical
concepts, and bigger picture ideas in the course.
3 - Rogo, a TSP-based Paper Puzzle: Problem Features
and Human Solutions
Nicola Ward Petty, Creative Heuristics Ltd, P.O. Box 21 390,
8142, Christchurch, New Zealand, drRogo@me.com, Shane Dye
Rogo, a pencil and paper puzzle, is based on a subset-selection travelling salesperson
problem with a known optimal score. There is an infinite number of
possible Rogo puzzles, with at least twelve features. In order for puzzles to
be appealing, they should be difficult enough to be challenging and interesting,
but not intractable or tedious. Through examination, mathematical modelling
and experimentation on human subjects, we begin research into what elements
affect the degree of difficulty of Rogo puzzles. Comparisons are made with
other puzzles. Some preliminary results are given.
4 - Using Games and Active Learning Exercises to Engage
and Re-engage Students
James Cochran, Department of Marketing and Analysis,
Louisiana Tech University, PO Box 10318, 71272, Ruston, LA,
United States, jcochran@cab.latech.edu
Education research provides evidence that student attention wanes after approximately
ten minutes. An instructor can reengage students (and herself or
himself) by abruptly altering the classroom environment periodically. In this
session we will discuss several ways to alter the classroom enviroment with a
variety of games and active learning exercises.