Technical Sessions – Monday July 11

MC-01 IFORS 2011 - Melbourne
1 - Integrated Value Chain Planning
Patrik Flisberg, Linköping University, Division of Optimization,
SE-58183, Linköping, Sweden, pafli@mai.liu.se, Sophie
Damours, Mikael Rönnqvist, Juan José Troncoso, Andrés
Weintraub
We present a mixed integer programming model to evaluate two different integration
strategies in order to show the impacts of a fully demand driven integration
of the value chain in the forest industry. To illustrate, we use forest,
economic and production information from a Chilean forest company. We compare
two different integration strategies: the first one where the forest and the
industry planning are decoupled and the second, were all parts of the value
chain (forest, transportation, mills) are driven by final product demand.
2 - Multiple Criteria and Participative Decision Making for
Sustainable Forest Management using AHP and Goal
Programming
Concepcion Maroto, Estadistica e Investigacion Operativa,
Universidad Politecnica de Valencia, Camino de Vera S/N,
46022, Valencia, Spain, cmaroto@eio.upv.es, Concepción
Ginestar, Juan Uriol, Marina Segura, Baldomero Segura
We have developed a Strategic Forest Management Model for a Mediterranean
region, taking into account Multiple Criteria and Participative Decision Making.
Firstly, we have identified forest stakeholders and carried out a workshop
with representatives of stakeholders to test the proposed criteria. Secondly,
we also carried out two surveys amongst the stakeholder representatives to determine
the relative importance of the criteria, objectives and strategies. We
obtained priorities using AHP and Goal Programming techniques. A complete
analysis and discussion of results will be provided.
3 - Land Use Participatory Planning Process in the Delta of
the Parana River, Argentina
Daniel Somma, EEA_Delta, INTA_Argentina, Rio Paraná de las
Palmas y Canal L. Comas, 2804, Campana, Prov. Buenos Aires,
Argentina, djsomma@yahoo.com.ar
The land use planning of forest resources is a complex problem because the
multicriteria (MC) involved in the decision We address the resolution of this
planning problem applying the MC decision making paradigm through a participatory
approach. We characterize the spatial expression of relevant processes
like subregional land use change and degradation of natural resources. Analysis
is tuned to Parana Delta context. This allows a regional-focused interpretation
of the process and the results are inputs for development(with stakeholders’
participation)of a spatial DSS and scenarios design.
20
Monday, 16:00-17:30
� MC-01
Monday, 16:00-17:30
Plenary Hall 3
Development Prize Presentations III
Stream: OR Development Prize
Invited session
Chair: Subhash Datta, NIILM CMS, 53 Knowledge Park V, 201310,
Greater Noida, UP, India, subhash.datta@gmail.com
1 - A Decision Support Methodology for Increasing School
Efficiency in Bolivia’s Low-income Communities
João Neiva de Figueiredo, Department of Management, Saint
Joseph’s University, Haub School of Business, 5600 City
Avenue, 19131, Philadelphia, PA, United States,
jneiva@deps.ufsc.br
This paper presents a DEA-based decision-support methodology that has been
implemented and is being used by a not-for-profit organization, Fe y Alegría,
which runs 439 Bolivian schools reaching over 160,000 disadvantaged students
in that poverty stricken Latin American nation. Bolivia is a poor country with
the highest percentage of indigenous population and the lowest per capita income
in South America and as such its inhabitants are in dire need of effective
educational resources to help them out of poverty. The DEA-based methodology
described in this paper has offered an objective way to compare network
schools among themselves and with out-of-network schools, providing a
deeper understanding of school efficiency levels in the face of scarce resources,
and allowing for sharing of best practices across the network. The paper introduces
the educational environment in Bolivia, presents the DEA model, describes
the decision support methodology, and provides two examples of its
use. The first example compares FyA secondary schools with out-of-network
secondary schools using publicly available data, and the second compares FyA
secondary schools among themselves using a proprietary data-base. The paper
also comments on lessons learned and the need for broad consensus-building
and organization-wide buy-in for successful adoption and maximum impact.
2 - Efficiency in Saving Infant Lives: the Influence of Water
and Sanitation Coverage
Gustavo Ferro, Instituto de Economía, Universidad Argentina de
la Empresa, C1073AAO, Ciudad de Buenos Aires, Argentina,
gferro@uade.edu.ar
In this paper, we aim to assess the relationship between water and sanitation
coverage and saved infant lives. Our hypothesis is that extended coverage implies
measurable results in terms of reduced infant mortality. Moreover, we
suspect that with the same resources, ceteris paribus, different countries can
achieve better or worst results depending on the efficiency which the resources
are used. We explore the policy consequences, simulating the effects that improvements
in efficiency can yield in terms of the reduction in child mortality.
Our approach is first to explore with a database of Latin American countries the
"production function’ of survivor infants on 1,000 births. Once we identify the
causal relationship with an econometric model, we estimate a production frontier
with Data Envelopment Analysis in order to determine the best performers:
countries which can do better with the same "inputs’. Finally, we simulate the
consequence of catching up to the frontier in each country. The impressive
quantitative results are interesting for policy concerns, since efficiency is reconciled
with equity (in the sense that the winners of the coverage increases and
the health improvements are the poorer).
� MC-02
Monday, 16:00-17:30
Meeting Room 101
Game Theory Applications in Operations
Management II
Stream: Game Theory
Invited session
Chair: Yong Won Seo, Dept. of Business Administration, Chung-Ang
University, 221 Heukseok Dongjak, 156-756, Seoul, Korea, Republic
Of, seoyw@cau.ac.kr