Special Issue “Optimization for Decision Making III”

Mathematics (ISSN 2227-7390) is a peer-reviewed open access journal which provides an advanced forum for studies related to mathematics, and is published monthly online by MDPI.

Open Access – free for readers, with article processing charges (APC) paid by authors or their institutions.
High visibility: Indexed in the Science Citation Indexed Expanded – SCIE (Web of Science) from Vol. 4 (2016), Scopus, and Zentralblatt MATH from Vol. 3 (2015).
Rapid publication: manuscripts are peer-reviewed and a first decision provided to authors approximately 21.7 days after submission; acceptance to publication is undertaken in 5.3 days (median values for papers published in this journal in the second half of 2018).
Recognition of reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.

Impact Factor: 1.747 (2019) (First decile JCR journal)

Special Issue “Optimization for Decision Making III”

Deadline for manuscript submissions: 30 June 2021.

Special Issue Editors

Guest Editor Prof. Víctor Yepes Universitat Politècnica de València, Spain Website \| E-Mail Interests: multiobjective optimization; structures optimization; lifecycle assessment; social sustainability of infrastructures; reliability-based maintenance optimization; optimization and decision-making under uncertainty
Guest Editor Prof. José M. Moreno-Jiménez Universidad de Zaragoza Website \| E-Mail Interests: multicriteria decision making; environmental selection; strategic planning; knowledge management; evaluation of systems; logistics and public decision making (e-government, e-participation, e-democracy and e-cognocracy)

Special Issue Information

Dear Colleagues,

In the current context of the electronic governance of society, both administrations and citizens are demanding greater participation of all the actors involved in the decision-making process relative to the governance of society. In addition, the design, planning, and operations management rely on mathematical models, the complexity of which depends on the detail of models and complexity/characteristics of the problem they represent. Unfortunately, decision-making by humans is often suboptimal in ways that can be reliably predicted. Furthermore, the process industry seeks not only to minimize cost, but also to minimize adverse environmental and social impacts. On the other hand, in order to give an appropriate response to the new challenges raised, the decision-making process can be done by applying different methods and tools, as well as using different objectives. In real-life problems, the formulation of decision-making problems and application of optimization techniques to support decisions is particularly complex, and a wide range of optimization techniques and methodologies are used to minimize risks or improve quality in making concomitant decisions. In addition, a sensitivity analysis should be done to validate/analyze the influence of uncertainty regarding decision-making.

Prof. Víctor Yepes
Prof. José Moreno-Jiménez
Guest Editors

Manuscript Submission Information

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Keywords

Multicriteria decision making
Optimization techniques
Multiobjective optimization

Toma de decisiones multicriterio en el análisis sostenible del ciclo de vida de los puentes

Acaban de publicarnos un artículo en la revista Journal of Civil Engineering and Managament, indexada en Q2 del JCR. Se trata de una revisión del estado del arte de la toma de decisiones multicriterio en el análisis sostenible del ciclo de vida de los puentes.

El trabajo se enmarca dentro del proyecto de investigación DIMALIFE que dirijo como investigador principal en la Universitat Politècnica de València.

El diseño sostenible de las infraestructuras se ha convertido en un importante tema de estudio desde el reciente establecimiento de la Agenda 2030. En este artículo se ofrece una revisión sistemática de la bibliografía sobre la utilización de las técnicas de toma de decisiones basadas en criterios múltiples utilizadas hasta ahora para el proyecto sostenible de puentes. También se presta especial atención a la forma en que los estudios evalúan el comportamiento sostenible de los diseños de los puentes a lo largo de su ciclo de vida desde las perspectivas económica, ambiental y social. Aunque SAW y AHP se utilizan de manera recurrente en la evaluación sostenible de los puentes, el análisis de los artículos más recientes muestra que la aplicación de las técnicas TOPSIS y PROMETHEE están adquiriendo cada vez más relevancia para tal fin. La mayoría de los estudios se centran en la investigación de la construcción y la etapa de mantenimiento de los puentes. Sin embargo, se identifica la necesidad de un análisis más profundo cuando se trata de evaluar los impactos resultantes de la etapa del fin del ciclo vital de los puentes desde un punto de vista sostenible. Se ha detectado el uso de la lógica intuitiva y neutrosófica como alternativas emergentes al enfoque difuso de los problemas de toma de decisiones.

ABSTRACT

Sustainable design of infrastructures has become a major matter of study since the recent establishment of the Agenda 2030. This paper provides a systematic literature review on the use of multi-criteria decision making techniques used so far for the sustainable design of bridges. Special attention is put as well on how the reviewed studies assess the sustainable performance of bridge designs along their life cycle from the economic, the environmental and the social perspective. Although SAW and AHP are recurrently used in the sustainable assessment of bridges, the analysis of the most recent articles show that the application of TOPSIS and PROMETHEE techniques are gaining increasing relevance for such purpose. Most of the studies focus on the research of the construction and the maintenance stage of bridges. However, a need for further analysis is identified when it comes to the assessment of the impacts resulting from the End of Life cycle stage of bridges from a sustainable point of view. The use of intuitionistic and neutrosophic logic have been detected as emerging alternatives to the fuzzy approach of decision making problems.

KEYWORDS:

Decision making, sustainability, bridge design, state of the art, MCDM, life cycle assessment.

REFERENCE:

NAVARRO, I.J.; PENADÉS-PLÀ, V.; MARTÍNEZ-MUÑOZ, D.; REMPLING, R.; YEPES, V. (2020). Life cycle sustainability assessment for multi-criteria decision making in bridge design: A review. Journal of Civil Engineering and Management, 26(7):690-704. DOI:10.3846/jcem.2020.13598

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La dimensión social en la optimización sostenible del mantenimiento de puentes

Acabamos de presentar una comunicación en el 10th International Conference on High Performance and Optimum Design of Structures and Materials HPSM/OPTI 2020, que se tuvo que desarrollar en Praga (República Checa) del 3 al 5 de junio, pero que por motivos del coronavirus, se ha desarrollado virtualmente del 2 al 4 de septiembre. A continuación os paso un resumen de la misma, así como la presentación que hemos realizado.

En los objetivos de desarrollo sostenible recientemente establecidos se reconoce la importancia de las infraestructuras para lograr un futuro sostenible. A lo largo de su largo ciclo de vida, las infraestructuras generan una serie de impactos cuya reducción ha sido uno de los principales focos de atención de los investigadores en los últimos años. La optimización de los intervalos de mantenimiento de las estructuras, como los puentes, ha despertado la atención del sector de la ingeniería civil, pues la mayoría de los impactos de las infraestructuras se producen durante su fase operativa. Así pues, actualmente los puentes se diseñan para atender a los efectos económicos y ambientales derivados de las actividades de mantenimiento. Sin embargo, en esos análisis se suele descuidar el pilar social de la sostenibilidad. Dado que todavía no existe una metodología universalmente aceptada para su evaluación coherente, la dimensión social no se incluye efectivamente en las evaluaciones del ciclo de vida de las infraestructuras. En la presente comunicación se evalúan los efectos del ciclo vital de diseños alternativos de los tableros de hormigón de los puentes en un entorno cercano a la costa que requiere mantenimiento. Los intervalos de mantenimiento derivados de la fiabilidad se optimizan primero minimizando los impactos económicos y ambientales. En una segunda etapa del análisis, se incluye la dimensión social en el proceso de optimización y se comparan los resultados. Los resultados de optimización de estas evaluaciones combinadas se obtienen aplicando la técnica de toma de decisiones multicriterio AHP-TOPSIS. En el presente documento se demuestra cómo la inclusión de la dimensión social puede conducir a estrategias de mantenimiento óptimo diferentes y más orientadas a la sostenibilidad. El enfoque tridimensional que se aplica aquí ha dado lugar a que se prefieran otras alternativas a las derivadas de la evaluación convencional que considera las perspectivas económica y ambiental. Esa conclusión apoya la idea de que se requieren evaluaciones holísticas del ciclo vital para el diseño sostenible de las infraestructuras y que es necesario hacer más esfuerzos urgentes para integrar la dimensión social en las evaluaciones de la sostenibilidad de las estructuras.

Figure 1: Product system boundaries (Navarro et al., 2020)

ABSTRACT

The recently established Sustainable Development Goals recognize the importance of infrastructures for achieving a sustainable future. Along their long-lasting life cycle, infrastructures generate a series of impacts, the reduction of which has been one of the main focus of researchers’ attention in the past years. The optimization of maintenance intervals of structures, such as bridges, has aroused the attention of the civil engineering sector, since most of the impacts of infrastructures occur during the operational phase. Thus, bridges are currently designed to attend the economic and environmental impacts derived from maintenance activities. However, the social pillar of sustainability is usually neglected in those analyses. Since no universally accepted methodology does yet exist for its consistent evaluation, the social dimension is not effectively included in the life cycle assessments of infrastructures. This communication evaluates the life cycle impacts of alternative concrete bridge deck designs in a maintenance-demanding environment near shore. Reliability-derived maintenance intervals are first optimized by minimizing the economic and environmental impacts. In a second stage of the analysis, the social dimension is included in the optimization process and results are compared. Optimization results from these combined assessments are obtained applying the Multi-Criteria Decision-Making technique AHP-TOPSIS. The present paper demonstrates how the inclusion of the social dimension may lead to different, more sustainability-oriented optimal maintenance strategies. The three-dimensional approach applied here has resulted in other alternatives to be preferred against those derived from the conventional assessment that considers the economic and environmental perspectives. Such finding supports the idea that holistic life cycle assessments are required for sustainable designs of infrastructures and that more efforts are urgently needed to integrate the social dimension in sustainability assessments of structures.

KEYWORDS

Life cycle assessment, bridges, maintenance, reliability, social impacts, sustainable design, sustainability, corrosion, Multi-Criteria Decision Making, AHP.

REFERENCE

NAVARRO, I.J.; YEPES, V.; MARTÍ, J.V. (2020). Social dimension on the sustainability-oriented maintenance optimization of bridges in coastal environments. 10th International Conference on High Performance and Optimum Design of Structures and Materials HPSM/OPTI 2020, 3-5 June 2020, Prague, Czech Republic, 11 pp.

Special Issue “Optimization for Decision Making II”

Mathematics (ISSN 2227-7390) is a peer-reviewed open access journal which provides an advanced forum for studies related to mathematics, and is published monthly online by MDPI.

Open Access – free for readers, with article processing charges (APC) paid by authors or their institutions.
High visibility: Indexed in the Science Citation Indexed Expanded – SCIE (Web of Science) from Vol. 4 (2016), Scopus, and Zentralblatt MATH from Vol. 3 (2015).
Rapid publication: manuscripts are peer-reviewed and a first decision provided to authors approximately 21.7 days after submission; acceptance to publication is undertaken in 5.3 days (median values for papers published in this journal in the second half of 2018).
Recognition of reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.

Impact Factor: 1.105 (2018) (First quartile, JCR)

Special Issue “Optimization for Decision Making II”

Deadline for manuscript submissions: 29 February 2020.

Special Issue Editors

Guest Editor Prof. Víctor Yepes Universitat Politècnica de València, Spain Website \| E-Mail Interests: multiobjective optimization; structures optimization; lifecycle assessment; social sustainability of infrastructures; reliability-based maintenance optimization; optimization and decision-making under uncertainty
Guest Editor Prof. José M. Moreno-Jiménez Universidad de Zaragoza Website \| E-Mail Interests: multicriteria decision making; environmental selection; strategic planning; knowledge management; evaluation of systems; logistics and public decision making (e-government, e-participation, e-democracy and e-cognocracy)

Special Issue Information

Dear Colleagues,

Prof. Víctor Yepes
Prof. José Moreno-Jiménez
Guest Editors

Manuscript Submission Information

Keywords

Multicriteria decision making
Optimization techniques
Multiobjective optimization

Revisión de las técnicas de valoración multicriterio aplicadas al diseño sostenible de infraestructuras

Acaban de publicarnos un artículo en la revista Advances in Civil Engineering (revista indexada en el JCR) sobre la revisión de las técnicas de valoración multicriterio aplicadas al diseño sostenible de infraestructuras. El trabajo se enmarca dentro del proyecto de investigación DIMALIFE que dirijo como investigador principal en la Universitat Politècnica de València.

Dados los grandes impactos asociados a la construcción y mantenimiento de infraestructuras, tanto en la dimensión ambiental como en la económica y social, un enfoque sostenible de su diseño parece esencial para facilitar el cumplimiento de los Objetivos de Desarrollo Sostenible fijados por las Naciones Unidas. Un repaso a la bibliografía existente indica, por lo general, que se aplican métodos de toma de decisiones multicriterio para abordar los criterios complejos y a menudo contradictorios que caracterizan la sostenibilidad. El presente estudio revisa el estado actual de la técnica en la aplicación de dichas técnicas en la evaluación de la sostenibilidad de las infraestructuras, analizando también los impactos y criterios de sostenibilidad incluidos en las evaluaciones.

El artículo se encuentra publicado en abierto, y por tanto se puede descargar gratuitamente en el siguiente enlace: https://www.hindawi.com/journals/ace/2019/6134803/

ABSTRACT:

Given the great impacts associated with the construction and maintenance of infrastructures in both the environmental, the economic and the social dimensions, a sustainable approach to their design appears essential to ease the fulfilment of the Sustainable Development Goals set by the United Nations. Multicriteria decision-making methods are usually applied to address the complex and often conflicting criteria that characterise sustainability. The present study aims to review the current state of the art regarding the application of such techniques in the sustainability assessment of infrastructures, analysing as well the sustainability impacts and criteria included in the assessments. The Analytic Hierarchy Process is the most frequently used weighting technique. Simple Additive Weighting has turned out to be the most applied decision-making method to assess the weighted criteria. Although a life cycle assessment approach is recurrently used to evaluate sustainability, standardised concepts, such as cost discounting, or presentation of the assumed functional unit or system boundaries, as required by ISO 14040, are still only marginally used. Additionally, a need for further research in the inclusion of fuzziness in the handling of linguistic variables is identified.

REFERENCIA:

NAVARRO, I.J.; YEPES, V.; MARTÍ, J.V. (2019). A review of multi-criteria assessment techniques applied to sustainable infrastructures design. Advances in Civil Engineering, 2019: 6134803. DOI:10.1155/2019/6134803

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Técnicas de decisión multicriterio para la educación de ingenieros en sostenibilidad

ABSTRACT

In recent times, a great deal of interest has emerged from different sectors of society towards sustainability and sustainable product design. Decision makers are increasingly encouraged to take into consideration the economic, environmental and social dimensions of reality when dealing with problems. Sustainability is of particular importance in the field of civil engineering, where structures are designed that are long lasting and shall cause significant impacts over a long period of time, such as bridges or dams. Consequently, when addressing a structural design, civil engineers shall account for the three dimensions of sustainability, which usually show conflicting perspectives. Multi-criteria methods allow the inclusion of non-monetary aspects into the design process of infrastructure. In the postgraduate course ‘Predictive and optimisation models for concrete structures’, offered at the Masters in Concrete Engineering of the Universitat Politècnica de València, civil engineering students are taught how to apply such tools within the framework of sustainable design of concrete structures. The present paper conducts a state-of-the-art review of the main multi-criteria decision making methodologies taught in the course in the context of sustainability. Articles are searched in recognized databases, such as SCOPUS and Web of Science. The most significant methods, such as Analytical Hierarchy Process (AHP), Elimination and Choice Expressing Reality (ELECTRE), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) or Complex Proportional Assessment (COPRAS) are systematically discussed, identifying the actual trends concerning the use of such methodologies in the field of civil engineering. The review provides a deep insight in the multi criteria techniques that are most frequently used when assessing sustainability of infrastructure designs.

KEYWORDS

Postgraduate education; multi-criteria decision making; sustainability; structural design; state of the art review

REFERENCE

NAVARRO, I.; MARTÍ, J.V.; YEPES, V. (2018). Multi-criteria decision making techniques in civil engineering education for sustainability. Proceedings of ICERI2018,the 11th annual International Conference of Education, Research and Innovation, Seville (Spain), 12th-14th November 2018, pp. 9798-9807. ISBN: 978-84-09-05948-5

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Special Issue “Optimization for Decision Making”

Mathematics (ISSN 2227-7390) is a peer-reviewed open access journal which provides an advanced forum for studies related to mathematics, and is published monthly online by MDPI.

Open Access – free for readers, with article processing charges (APC) paid by authors or their institutions.
High visibility: Indexed in the Science Citation Indexed Expanded – SCIE (Web of Science) from Vol. 4 (2016), Scopus from Vol. 5 (2017) and Zentralblatt MATH from Vol. 3 (2015).

Special Issue “Optimization for Decision Making”

Deadline for manuscript submissions: 31 May 2019

Special Issue Editors

Guest Editor Prof. Víctor Yepes Universitat Politècnica de València, Spain Website \| E-Mail Interests: multiobjective optimization; structures optimization; lifecycle assessment; social sustainability of infrastructures; reliability-based maintenance optimization; optimization and decision-making under uncertainty
Guest Editor Prof. José M. Moreno-Jiménez Universidad de Zaragoza Website \| E-Mail Interests: multicriteria decision making; environmental selection; strategic planning; knowledge management; evaluation of systems; logistics and public decision making (e-government, e-participation, e-democracy and e-cognocracy)

Special Issue Information

Dear Colleagues,

In the current context of the electronic governance of society, both administrations and citizens are demanding greater participation of all the actors involved in the decision-making process relative to the governance of society. In addition, the design, planning, and operations management rely on mathematical models, the complexity of which depends on the detail of models and complexity/characteristics of the problem they represent. Unfortunately, decision-making by humans is often suboptimal in ways that can be reliably predicted. Furthermore, the process industry seeks not only to minimize cost, but also to minimize adverse environmental and social impacts. On the other hand, in order to give an appropriate response to the new challenges raised, the decision-making process can be done by applying different methods and tools, as well as using different objectives. In real-life problems, the formulation of decision-making problems and application of optimization techniques to support decisions are particularly complex and a wide range of optimization techniques and methodologies are used to minimize risks or improve quality in making concomitant decisions. In addition, a sensitivity analysis should be done to validate/analyze the influence of uncertainty regarding decision-making.

Prof. Víctor Yepes
Prof. José M. Moreno-Jiménez
Guest Editors

Manuscript Submission Information

Keywords

Multicriteria decision making
Optimization techniques
Multiobjective optimization

Valoración de la contribución de una infraestructura a la sostenibilidad social bajo condiciones de incertidumbre

Nos acaban de publicar en la revista de Elsevier del primer cuartil, Environmental Impact Assessment Review, un artículo donde se valora la contribución de una infraestructura a la sostenibilidad social bajo condiciones de incertidumbre. Este artículo forma parte de nuestra línea de investigación BRIDLIFE en la que se pretenden optimizar estructuras atendiendo no sólo a su coste, sino al impacto ambiental y social que generan a lo largo de su ciclo de vida.

El artículo lo podéis descargar GRATUITAMENTE hasta el 27 de octubre de 2017 en el siguiente enlace:

https://authors.elsevier.com/c/1VgzPiZ5st7Lz

Abstract:

Assessing the viability of a public infrastructure includes economic, technical and environmental aspects; however, on many occasions, the social aspects are not always adequately considered. This article proposes a procedure to estimate the social sustainability of infrastructure projects under conditions of uncertainty, based on a multicriteria deterministic method. The variability of the method inputs is contributed by the decision-makers. Uncertain inputs are treated through uniform and beta PERT distributions. The Monte Carlo method is used to propagate uncertainty in the method. A case study of a road infrastructure improvement in El Salvador is used to illustrate this treatment. The main results determine the variability of the short and long-term social improvement indices by infrastructure and the probability of the position in the prioritization of the alternatives. The proposed mechanism improves the reliability of the decision making early in infrastructure projects, taking their social contribution into account. The results can complement environmental and economic sustainability assessments.

Keywords:

Infrastructure;
Multicriteria decision-making;
Uncertainty;
Social sustainability

Reference:

SIERRA, L.A.; YEPES, V.; PELLICER, E. (2017). Assessing the social sustainability contribution of an infrastructure project under conditions of uncertainty. Environmental Impact Assessment Review,67:61-72.