Technical Sessions – Monday July 11
Technical Sessions – Monday July 11
Technical Sessions – Monday July 11
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MC-01 IFORS 20<strong>11</strong> - Melbourne<br />
1 - Integrated Value Chain Planning<br />
Patrik Flisberg, Linköping University, Division of Optimization,<br />
SE-58183, Linköping, Sweden, pafli@mai.liu.se, Sophie<br />
Damours, Mikael Rönnqvist, Juan José Troncoso, Andrés<br />
Weintraub<br />
We present a mixed integer programming model to evaluate two different integration<br />
strategies in order to show the impacts of a fully demand driven integration<br />
of the value chain in the forest industry. To illustrate, we use forest,<br />
economic and production information from a Chilean forest company. We compare<br />
two different integration strategies: the first one where the forest and the<br />
industry planning are decoupled and the second, were all parts of the value<br />
chain (forest, transportation, mills) are driven by final product demand.<br />
2 - Multiple Criteria and Participative Decision Making for<br />
Sustainable Forest Management using AHP and Goal<br />
Programming<br />
Concepcion Maroto, Estadistica e Investigacion Operativa,<br />
Universidad Politecnica de Valencia, Camino de Vera S/N,<br />
46022, Valencia, Spain, cmaroto@eio.upv.es, Concepción<br />
Ginestar, Juan Uriol, Marina Segura, Baldomero Segura<br />
We have developed a Strategic Forest Management Model for a Mediterranean<br />
region, taking into account Multiple Criteria and Participative Decision Making.<br />
Firstly, we have identified forest stakeholders and carried out a workshop<br />
with representatives of stakeholders to test the proposed criteria. Secondly,<br />
we also carried out two surveys amongst the stakeholder representatives to determine<br />
the relative importance of the criteria, objectives and strategies. We<br />
obtained priorities using AHP and Goal Programming techniques. A complete<br />
analysis and discussion of results will be provided.<br />
3 - Land Use Participatory Planning Process in the Delta of<br />
the Parana River, Argentina<br />
Daniel Somma, EEA_Delta, INTA_Argentina, Rio Paraná de las<br />
Palmas y Canal L. Comas, 2804, Campana, Prov. Buenos Aires,<br />
Argentina, djsomma@yahoo.com.ar<br />
The land use planning of forest resources is a complex problem because the<br />
multicriteria (MC) involved in the decision We address the resolution of this<br />
planning problem applying the MC decision making paradigm through a participatory<br />
approach. We characterize the spatial expression of relevant processes<br />
like subregional land use change and degradation of natural resources. Analysis<br />
is tuned to Parana Delta context. This allows a regional-focused interpretation<br />
of the process and the results are inputs for development(with stakeholders’<br />
participation)of a spatial DSS and scenarios design.<br />
20<br />
<strong>Monday</strong>, 16:00-17:30<br />
� MC-01<br />
<strong>Monday</strong>, 16:00-17:30<br />
Plenary Hall 3<br />
Development Prize Presentations III<br />
Stream: OR Development Prize<br />
Invited session<br />
Chair: Subhash Datta, NIILM CMS, 53 Knowledge Park V, 201310,<br />
Greater Noida, UP, India, subhash.datta@gmail.com<br />
1 - A Decision Support Methodology for Increasing School<br />
Efficiency in Bolivia’s Low-income Communities<br />
João Neiva de Figueiredo, Department of Management, Saint<br />
Joseph’s University, Haub School of Business, 5600 City<br />
Avenue, 19131, Philadelphia, PA, United States,<br />
jneiva@deps.ufsc.br<br />
This paper presents a DEA-based decision-support methodology that has been<br />
implemented and is being used by a not-for-profit organization, Fe y Alegría,<br />
which runs 439 Bolivian schools reaching over 160,000 disadvantaged students<br />
in that poverty stricken Latin American nation. Bolivia is a poor country with<br />
the highest percentage of indigenous population and the lowest per capita income<br />
in South America and as such its inhabitants are in dire need of effective<br />
educational resources to help them out of poverty. The DEA-based methodology<br />
described in this paper has offered an objective way to compare network<br />
schools among themselves and with out-of-network schools, providing a<br />
deeper understanding of school efficiency levels in the face of scarce resources,<br />
and allowing for sharing of best practices across the network. The paper introduces<br />
the educational environment in Bolivia, presents the DEA model, describes<br />
the decision support methodology, and provides two examples of its<br />
use. The first example compares FyA secondary schools with out-of-network<br />
secondary schools using publicly available data, and the second compares FyA<br />
secondary schools among themselves using a proprietary data-base. The paper<br />
also comments on lessons learned and the need for broad consensus-building<br />
and organization-wide buy-in for successful adoption and maximum impact.<br />
2 - Efficiency in Saving Infant Lives: the Influence of Water<br />
and Sanitation Coverage<br />
Gustavo Ferro, Instituto de Economía, Universidad Argentina de<br />
la Empresa, C1073AAO, Ciudad de Buenos Aires, Argentina,<br />
gferro@uade.edu.ar<br />
In this paper, we aim to assess the relationship between water and sanitation<br />
coverage and saved infant lives. Our hypothesis is that extended coverage implies<br />
measurable results in terms of reduced infant mortality. Moreover, we<br />
suspect that with the same resources, ceteris paribus, different countries can<br />
achieve better or worst results depending on the efficiency which the resources<br />
are used. We explore the policy consequences, simulating the effects that improvements<br />
in efficiency can yield in terms of the reduction in child mortality.<br />
Our approach is first to explore with a database of Latin American countries the<br />
"production function’ of survivor infants on 1,000 births. Once we identify the<br />
causal relationship with an econometric model, we estimate a production frontier<br />
with Data Envelopment Analysis in order to determine the best performers:<br />
countries which can do better with the same "inputs’. Finally, we simulate the<br />
consequence of catching up to the frontier in each country. The impressive<br />
quantitative results are interesting for policy concerns, since efficiency is reconciled<br />
with equity (in the sense that the winners of the coverage increases and<br />
the health improvements are the poorer).<br />
� MC-02<br />
<strong>Monday</strong>, 16:00-17:30<br />
Meeting Room 101<br />
Game Theory Applications in Operations<br />
Management II<br />
Stream: Game Theory<br />
Invited session<br />
Chair: Yong Won Seo, Dept. of Business Administration, Chung-Ang<br />
University, 221 Heukseok Dongjak, 156-756, Seoul, Korea, Republic<br />
Of, seoyw@cau.ac.kr