Technical Sessions – Monday July 11

� MC-20
Monday, 16:00-17:30
Meeting Room 217
Soft OR III
Stream: Soft OR and Problem Structuring
Invited session
Chair: Leroy White, Management Department, University of Bristol,
Social Science, 8 Woodland RD, BS8 1TN, Bristol, United Kingdom,
leroy.white@bris.ac.uk
1 - Visions-based Consensus Formation on the Future Energy
System by Analytical Facilitation
Evelina Trutnevyte, Institute for Environmental Decisions (IED),
Natural and Social Science Interface (NSSI), ETH Zurich,
Universitätstrasse 16, CHN J 70.1, 8092, Zurich, Switzerland,
evelina.trutnevyte@env.ethz.ch, Michael Stauffacher, Roland W.
Scholz
Strategic discussions about the future energy system often take place on the
basis of visions, e.g. oil-free energy system or 30% lower primary energy demand.
In such discussions, different stakeholders support different visions.
Whilst some visions are in fundamental conflict, others offer a space for compromise.
We propose a novel approach for analytical facilitation of consensus
formation in visionary discussions. Our approach estimates if several visions
intersect or are mutually exclusive, it also helps to identify the conflicting aspects
and to propose options for reaching consensus.
2 - Challenges in Strategy-led Decision Support
Andrea Hadley, DSTO, Dept of Defence, Russell Offices, 2600,
Canberra, Australia, andrea.hadley@defence.gov.au, Sharon
Boswell, Nitin Thakur
The 2009 Defence White Paper commits the government to an improved force
structure and capability development process within Defence. This will be
achieved by creating stronger linkages between strategic guidance, force development
and capability decisions. DSTO has studied Soft Systems Methodologies
to support capability development and force structure analysis since
the 2000 Defence White Paper. This paper presents an analysis of the impact
of strategy-led capability development since the 2008 Force Structure Review,
which has evolved from the previous concept-driven approach. Lessons
learned, and the types of frameworks and taxonomies used to support strategic
level decisions, are discussed.
3 - Understanding PSM Interventions: Expertise and Brokerage
Leroy White, Management Department, University of Bristol,
Social Science, 8 Woodland RD, BS8 1TN, Bristol, United
Kingdom, leroy.white@bris.ac.uk
Understanding PSM interventions: expertise and brokerage
� MC-21
Monday, 16:00-17:30
Meeting Room 218
OR in Forestry II
Stream: Forestry Applications
Invited session
Chair: Hayri Onal, University of Illinois, United States,
h-onal@uiuc.edu
1 - Hard Combinatorial Problems in Spatial Forest Planning
Andrés Weintraub, University of Chile, Santiago, Chile,
aweintra@dii.uchile.cl, Marcos Goycoolea, Juan Pablo Vielma
Centeno
IFORS 2011 - Melbourne MC-21
Due to environmental considerations, spatial constraints have been imposed for
forest harvesting. One particular form for these constraints is that of maximum
opening size of harvested areas, the adjacency problem for blocks to be harvested.
It has been shown that forming those block from basic cells as part of
the model improves solutions. This is a hard combinatorial problem usually
solved through heuristics. In the last decade exact formulations to solve this
problem of different forms have been presented. We show these formulations
and how they compare computationally on test problems
2 - Designing Conservation Reserves with Efficiency, Contiguity
and Compactness Considerations
Hayri Onal, University of Illinois, United States,
h-onal@uiuc.edu, Kevin Patrick
The conservation reserve design problem is often formulated as an integer program
(IP) using the set covering or maximal covering frameworks. Typically,
they result in undesirable reserve configurations where selected ites are highly
scattered across the landscape without any spatial coherence. This has been
addressed in several recent studies which incorporated spatial criteria in addition
to the usual financial and ecological. This paper presents an IP approach
incorporating compactness and contiguity considerations along with the usual
site selection criteria and numerical applications.
3 - Cost-effective Compensation to Reduce Carbon Emissions
due to Forest Loss: An Approach Considering
Risk-aversion and Non-Gaussian Returns Effects
Ricardo Acevedo Cabra, Institute of Forest Management,
Technische Universität München, 85354, Freising, Germany,
Ricardo.Acevedo@lrz.tu-muenchen.de, Thomas Knoke
Analyses were carried out on compensation payments to encourage protection
of tropical forests and reduction of related carbon emissions within a risk averting
perspective. Land use portfolio-allocation (forest, pastures and crops) was
modeled using the method of higher-moments, which does not constrain returns
to be Gaussian distributed. Preliminary results show, that in order to encourage
forest land use over other portfolio assets, higher payments are necessary than
those found using the Capital Asset Pricing Model (CAPM).
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