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State-of-the-art review on multi-criteria decision-making in the transport sector

Journal of Traffic and Transportation Engineering(English Edition) 2020年第4期7卷 413-431页

作者： George Yannis Angeliki Kopsacheili Anastasios Dragomanovits Virginia Petraki Department of Transportation Planning and Engineering National Technical University of AthensZografou 15773Greece Attiko Metro S.A. Athens 11525Greece

Consistent decision-making requires a structured and systematic evaluation of advantages and disadvantages of different choice *** transport projects,policies or policy measures,and transport options evaluation,various multi-criteria methods have been developed and effectively applied to complement conventional cost effectiveness and cost benefit *** present paper aims to present a state-of-the-art review of pertinent literature regarding multi-criteria decision-making(MCD M)in the transport sector,focusing on the basic concepts and procedure for multi-criteria decision-making in the transport sector,along with its role and evaluation parameters.A large selection of over 50 papers and publications between 1982 and 2019 have been reviewed,in order to provide an insight into the uses of MCDM methods in transport *** commonly used MCDM metho ds techniques are identified and discussed through a wide review of pertinent literature,research and case studies,leading to interesting conclusions that provide a valuable insight into the use of multicriteria analysis techniques in transport sector related *** on the wide range of reviewed literature,it is concluded that MCDM methods are being applied mostly to evaluate transport options rather than transport policies or projects and the most commonly used MCDM method in transport sector problems are analytic hierarchy process(AHP).

关键词： Traffic engineering Multi-criteria analysis multiple-attribute decision-making multiple-objective decision-making

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A two-stage sustainable uncertain multi-objective portfolio selection and scheduling considering conflicting criteria

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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2024年 132卷

作者： Ramedani, Amir Mohammad Mehrabian, Ahmad Didehkhani, Hosein Islamic Azad Univ Dept Ind Engn Aliabad Katoul Branch Aliabad Katoul Iran

This article presents a pioneering approach to project portfolio selection and scheduling, addressing the complexities of contemporary decision-making environments characterized by uncertainty, conflicting criteria, and sustainability imperatives. The proposed framework integrates multiple-attribute and multiple-objective decision-making methods, offering a two-stage solution incorporating fuzzy-robust-stochastic (FRS) optimization techniques. Notably, our work introduces a novel heuristics algorithm designed to optimize conflicting criteria related to sustainability, time-dependency, resources, budget constraints, and human resource capabilities. In the first stage, the framework employs advanced multiple-attribute decision-making methods to comprehensively evaluate project portfolios under the influence of diverse and conflicting criteria. Subsequently, the second stage employs sophisticated multiple-objective decision-making methods to refine the portfolio selection by considering fuzzy, robust, and stochastic optimization elements. The introduced heuristics algorithm plays a pivotal role in enhancing the efficiency and effectiveness of the decision-making process, providing a robust solution to the intricate challenges posed by sustainability concerns, temporal dependencies, resource constraints, budget limitations, and human resource capabilities. The innovation lies in the integration of these disparate elements into a cohesive, two-stage framework, which not only ensures the optimal selection of portfolios but also holistically addresses the intricacies of scheduling. Applying FRS optimization in tandem with the novel heuristics algorithm sets this work apart, offering a versatile and comprehensive solution to decision-makers facing the multifaceted challenges of contemporary project management. Finally, different sensitivity analyses on the proposed model and evaluations of the solution algorithm in various test problems highlight the flexibility of the mode

关键词： Sustainability Project portfolio selection Heuristics algorithm Conflicting criteria Scheduling multiple-attribute decision-making multiple-objective decision-making

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