2,093 research outputs found
A Review of Multi-Criteria Assessment of the Social Sustainability of Infrastructures
[EN] Nowadays multi-criteria methods enable non-monetary aspects to be incorporated into the assessment of infrastructure sustainability. Yet evaluation of the social aspects is still neglected and the multi-criteria assessment of these social aspects is still an emerging topic. Therefore, the aim of this article is to review the current state of multi-criteria infrastructure assessment studies that include social aspects. The review includes an analysis of the social criteria, participation and assessment methods. The results identify mobility and access, safety and local development among the most frequent criteria. The Analytic Hierarchy Process and Simple Additive Weighting methods are the most frequently used. Treatments of equity, uncertainty, learning and consideration of the context, however, are not properly analyzed yet. Anyway, the methods for implementing the evaluation must guarantee the social effect on the result, improvement of the representation of the social context and techniques to facilitate the evaluation in the absence of information.This research was funded by the Government of Chile under the
Doctoral Fellowship Program Abroad (grant CONICYT-2015/72160059), the project DIUFRO DI14-0096 and the Spanish Ministry of Economy and Competitiveness along with FEDER funding (Projects BIA2014-56574-R and BIA2017-85098-R).Sierra-Varela, LA.; Yepes, V.; Pellicer, E. (2018). A Review of Multi-Criteria Assessment of the Social Sustainability of Infrastructures. Journal of Cleaner Production. 187:496-513. https://doi.org/10.1016/j.jclepro.2018.03.022S49651318
Intermodal Terminal Subsystem Technology Selection Using Integrated Fuzzy MCDM Model
Intermodal transportation is the use of multiple modes of transportation, which can lead to
greater sustainability by reducing environmental impact and traffic congestion and increasing the
efficiency of supply chains. One of the preconditions for efficient intermodal transport is the efficient
intermodal terminal (IT). ITs allow for the smooth and efficient handling of cargo, thus reducing the
time, cost, and environmental impact of transportation. Adequate selection of subsystem technologies
can significantly improve the efficiency and productivity of an IT, ultimately leading to cost savings
for businesses and a more efficient and sustainable transportation system. Accordingly, this paper
aims to establish a framework for the evaluation and selection of appropriate technologies for IT
subsystems. To solve the defined problem, an innovative hybrid multi-criteria decision making
(MCDM) model, which combines the fuzzy factor relationship (FFARE) and the fuzzy combinative
distance-based assessment (FCODAS) methods, is developed in this paper. The FFARE method
is used for obtaining criteria weights, while the FCODAS method is used for evaluation and a
final ranking of the alternatives. The established framework and the model are tested on a real-life
case study, evaluating and selecting the handling technology for a planned IT. The study defines
12 potential variants of handling equipment based on their techno-operational characteristics and
evaluates them using 16 criteria. The results indicate that the best handling technology variant is
the one that uses a rail-mounted gantry crane for trans-shipment and a reach stacker for horizontal
transport and storage. The results also point to the conclusion that instead of choosing equipment
for each process separately, it is important to think about the combination of different handling
technologies that can work together to complete a series of handling cycle processes. The main
contributions of this paper are the development of a new hybrid model and the establishment of
a framework for the selection of appropriate IT subsystem technologies along with a set of unique
criteria for their evaluation and selection
Workshop on Fuzzy Control Systems and Space Station Applications
The Workshop on Fuzzy Control Systems and Space Station Applications was held on 14-15 Nov. 1990. The workshop was co-sponsored by McDonnell Douglas Space Systems Company and NASA Ames Research Center. Proceedings of the workshop are presented
Uncertain Multi-Criteria Optimization Problems
Most real-world search and optimization problems naturally involve multiple criteria as objectives. Generally, symmetry, asymmetry, and anti-symmetry are basic characteristics of binary relationships used when modeling optimization problems. Moreover, the notion of symmetry has appeared in many articles about uncertainty theories that are employed in multi-criteria problems. Different solutions may produce trade-offs (conflicting scenarios) among different objectives. A better solution with respect to one objective may compromise other objectives. There are various factors that need to be considered to address the problems in multidisciplinary research, which is critical for the overall sustainability of human development and activity. In this regard, in recent decades, decision-making theory has been the subject of intense research activities due to its wide applications in different areas. The decision-making theory approach has become an important means to provide real-time solutions to uncertainty problems. Theories such as probability theory, fuzzy set theory, type-2 fuzzy set theory, rough set, and uncertainty theory, available in the existing literature, deal with such uncertainties. Nevertheless, the uncertain multi-criteria characteristics in such problems have not yet been explored in depth, and there is much left to be achieved in this direction. Hence, different mathematical models of real-life multi-criteria optimization problems can be developed in various uncertain frameworks with special emphasis on optimization problems
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