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This study proposes a methodology to serve as a guiding mechanism for the allocation and management of university financial resources taking efficiency as its objective. Specifically, an aid model is provided for decision making, so that the planning of staff policy within a university guarantees an equal treatment of all the teaching and research units, greater transparency in the allocation of financial resources, as well as a rational monitoring of the allocations made and their effects on the university efficiency levels. The model we provide is based on the use of two quantitative techniques: data envelopment analysis (DEA) and multiple criteria decision making (MCDM), both techniques being linked in a way which makes it possible to transfer information from one to the other.

Selecting a project portfolio is a complex process involving many factors and considerations from the time it is proposed to the time the project portfolio is finally selected. Given that making a good selection is of crucial importance, it is essential to develop well-founded mathematical models to lead the organization to its final goal. To achieve this, such models have to reflect as closely as possible both the real situation of the organization as well as its targets and preferences. However, since the process of selecting and implementing project portfolios occurs in real environments and not in laboratories, uncertainty and a lack of knowledge regarding some data is always an important issue due to the strong interdependence between the projects and the political, economic, social, and legal conditions in which they are carried out. In this work, a mathematical model is proposed which extends the classical approach incorporating the inherent uncertainty to these problems. We have handled this uncertainty, vagueness and/or imprecision through the use of fuzzy parameters, which allow representation of information not fully known by the decision makers. The model combines selecting and planning project portfolios, specifies different relationships between projects (synergies, incompatibilities, time order, etc.) and other important constraints appearing in real situations. Moreover, a resolution procedure is developed which obtains, simultaneously, the optimal portfolio and the range for the confidence levels associated to it. An illustrative example and a real application are given in order to show the potentiality of the approach. The results are complemented with graphical tools, which show the usefulness of the proposed model to assist the decision makers. [ABSTRACT FROM AUTHOR]

Improving eco-efficiency of wastewater treatment plants (WWTPs) has been identified as being essential for achieving urban sustainability. Several previous papers have evaluated the eco-efficiency of WWTPs using data envelopment analysis (DEA) models. However, those models provided only a static assessment in that they ignored possible fluctuations over time within each plant. To overcome this temporal limitation, this paper evaluates dynamic eco-efficiency (changes in eco-productivity over time) of WWTPs using the dynamic weighted Russell directional distance model (WRDDM). This approach allows one to obtain an eco-productivity change index for each major component of the WRDDM model (costs, pollutants removal, and greenhouse gas emissions). Our results illustrate that although eco-productivity improved in half of the WWTPs we assessed, there was still potential for improving some eco-efficiency components. Moreover, operational costs and greenhouse gases emissions were the main drivers reducing eco-productivity. This paper demonstrates the importance of evaluating change in eco-productivity over time and in identifying the drivers associated with those changes, both of which can be used to support decision-making focused on the sustainability of WWTPs. [ABSTRACT FROM AUTHOR]

The aim of this research consists of measuring the sustainability degree for tourism destinations considering the stakeholder's preferences. Their opinions were included in the overall process during the choice of the initial indicators and determining the weights. Additionally, in the aggregation process, a sustainability index was calculated with a multiple criteria decision theory methodology, according to its ability to embrace the participant opinions in the decision-making process. Results allows determining the sustainability degree and the identification of strengths and weaknesses in terms of goals attainment. To corroborate the robustness of the index, an analysis of the rankings was performed. [ABSTRACT FROM AUTHOR]

Tourism sustainability evaluation has become an important issue in the development of this economic industry due to its dependence on natural environment quality and social acceptance. The study shows different ways to measure sustainability by means of composite indicators obtained from an initial set of quantitative and qualitative information. The use of different aggregation methods makes it possible to create rankings and offers remarkable contributions to the decision making process. We use the combination of dissimilar algorithms such as DP distance, Data Envelopment Analysis, Principal Component Analysis and Goal Programming to achieve these rankings and Borda Count to merge them into a single order to compare these destinations. Results shows different ways to measure sustainability using the overall information contained in a set of initial indicators and represent an important contribution to composite indicator's building and for the formulation of new strategic actions, politics or other territorial or national projections. [ABSTRACT FROM AUTHOR]

Goal Programming (GP) can be regarded as one of the most widely used multicriteria decision-making techniques. In this paper, two surveys are carried out. First, the evolution of GP since its birth to the present time, in terms of number of publications, references, journals, etc., has been studied. Second, a more in-depth survey has been carried out, which covers the publications from year 2000 to the present time. All the references are listed, and some conclusions and future research lines have been extracted about the late trends of GP. Copyright © 2010 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

This study proposes a methodology to serve as a guiding mechanism for the allocation and management of university financial resources taking efficiency as its objective. Specifically, an aid model is provided for decision making, so that the planning of staff policy within a university guarantees an equal treatment of all the teaching and research units, greater transparency in the allocation of financial resources, as well as a rational monitoring of the allocations made and their effects on the university efficiency levels. The model we provide is based on the use of two quantitative techniques: data envelopment analysis (DEA) and multiple criteria decision making (MCDM), both techniques being linked in a way which makes it possible to transfer information from one to the other. [Copyright &y& Elsevier]

• Considering a real routing problem and modeling it with 4 objective functions. • Solving system combining metaheuristics with achievement scalarizing function. • Developing the methodology to apply iterated greedy to a multi objective problem. • Performing exhaustive experimentation to test the method. • Improving both the currently implemented solution and NSGA-II. In the last few years, the application of decision making to logistic problems has become crucial for public and private organizations. Efficient decisions clearly contribute to improve operational aspects such as cost reduction or service improvement. The particular case of waste collection service considered in this paper involves a set of economic, labor and environmental issues that translate into difficult operational problems. They pose a challenge to nowadays optimization technologies since they have multiple constraints and multiple objectives that may be in conflict. We therefore need to resort to multiobjective approaches to model and solve this problem, providing efficient solutions in short computational times. In particular, we consider four different objectives to model the waste collection problem: travel cost, route length balance, route time balance, and number of routes. We propose an iterated greedy algorithm coupled with a variable neighborhood search to minimize an achievement function to determine a good approximation to the Pareto front. The performance of our method is empirically analyzed on a set of instances (both generated and real), and compared with the well-known NSGA-II and SPEA2 methods. The comparison favors our proposal. [ABSTRACT FROM AUTHOR]

The selection of the most appropriate wastewater treatment (WWT) technology is a complex problem since many alternatives are available and many criteria are involved in the decision-making process. To deal with this challenge, the analytic network process (ANP) is applied for the first time to rank a set of seven WWT technology set-ups for secondary treatment in small communities. A major advantage of ANP is that it incorporates interdependent relationships between elements. Results illustrated that extensive technologies, constructed wetlands and pond systems are the most preferred alternatives by WWT experts. The sensitivity analysis performed verified that the ranking of WWT alternatives is very stable since constructed wetlands are almost always placed in the first position. This paper showed that ANP analysis is suitable to deal with complex decision-making problems, such as the selection of the most appropriate WWT system contributing to better understand the multiple interdependences among elements involved in the assessment. [ABSTRACT FROM AUTHOR]

Performance indicators (PIs) are essential in the benchmarking process used to rate and rank water companies. However, a set of individual PIs does not provide a holistic assessment of company performance from multiple perspectives. A multidimensional evaluation of the performance of water companies can be achieved by aggregating the PIs into a synthetic indicator. Although the concept of sustainability involves economic, environmental and social criteria, most of the previous studies have not considered these three dimensions simultaneously. This paper discusses a process of indicator aggregation using two approaches based on multi-criteria decision analysis to evaluate and compare the sustainability of water companies from a holistic perspective. A synthetic indicator embracing economic, environmental and social PIs was computed for a sample of 154 Portuguese water companies. Both methods yielded similar rankings of water company sustainability. The techniques and results presented in this paper may be utilized as a means of improving the benchmarking process in regulated water industries, as well as providing valuable contributions to decision-makers on the most efficient steps for improving the sustainability of urban water services. [ABSTRACT FROM AUTHOR]

Abstract: Sustainable tourism is being consolidated at an international level as an approach that should be used to make all types of tourism more environmentally, socially and economically beneficial. A common practice is to use an indicator system for designing and implementing tourism models that focuses on the sustainability approach. Indicators are considered as useful tools that allow tourism managers to diagnose the situation of the destination, and to identify and evaluate issues that require addressing to improve the level of sustainability of the tourist activities. However, these indicator systems usually do not provide a practical guide to establish how to interpret information and how to integrate it into the decision-making. In this paper we present an indicator system to evaluate sustainable tourism at cultural destinations. Likewise, we suggest a method based on goal programming to construct composite indicators. The definition of the indicator system and composite indicators is completed providing guidelines that establish how to use these tools in tourism sector planning. Specifically, we propose three basic practical uses for these tools: the formulation of general action plans at a regional level, the definition of short-term strategies for destinations and the establishment of destination benchmarking practices. Each practical use is illustrated using the case of cultural tourism destinations in the Andalusia region (Spain). [Copyright &y& Elsevier]