Forthcoming and Online First Articles

International Journal of Multicriteria Decision Making

International Journal of Multicriteria Decision Making (IJMCDM)

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International Journal of Multicriteria Decision Making (6 papers in press)

Regular Issues

  • An Integrated CRITIC-VIKOR Model for Overtourism Assessment in Spain: Post-COVID-19 Sustainable Actions   Order a copy of this article
    by JOSEFA GARCIA MESTANZA, R.I.M. BAKHAT 
    Abstract: The tourism industry has developed rapidly in recent decades. This boom has led to overtourism in some tourist areas of Spain. The COVID-19, on the other hand, has paralyzed the sector and must be reactivated without reproducing past errors. Faced with this period of uncertainty, economic reactivation, and tourism sustainability, overtourism has become one of the most discussed topics in debates and scientific articles. However, overtourism is at a very early stage in its empirical measurement and remains open to subjective interpretations due to the paucity of precise measurements. This emanates from the fact that overtourism lacks a realistic set of indicators to quantitatively measure its negative impact and inherent risk on the host community. In this way, the main objective of this paper is to provide a set of indicators that allow reviewing and redirecting decision-making at the business and political levels. An integrated MCDM approach has been applied, namely the CRITIC method (CRiteria Importance Through Intercriteria Correlation) for calculating the weights of the indicators and the VIKOR method (VIsekriterijumska optimizacija i KOmpromisno Resenje) for assessing the alternatives. The case study of Spain provides useful insights, and the obtained results demonstrated that the economic indicators hinder sustainable development and contribute to worsening the tourist attitude more than the social factor do. In this regard, a need remains for determining valid public policies to improve territorial planning, manage the carrying capacity, and further implement sustainable actions in the affected communities during this exceptional health crisis as suggested in the discussion section.
    Keywords: Overtourism; Sustainable Indicators; MCDM; CRITIC; VIKOR; COVID-19.
    DOI: 10.1504/IJMCDM.2022.10044292
     
  • A Metaheuristic for a sustainable distribution process   Order a copy of this article
    by Dalila Tayachi, Sidonie Ienra Nyako, Moncef Tagina 
    Abstract: This paper deals with a bi-objective green vehicle routing problem, where conventional economic and environmental objectives are both considered. More precisely, our work minimizes distance and fuel consumption in the Capacitated Vehicle Routing Problem (FCVRP). Firstly, we consider fuel consumption minimization and we propose an Iterated Local Search to solve it as it is an NP-complete problem. In the fuel consumption calculation function, distance, load, and speed are considered simultaneously. The proposed metaheuristic is tested on Solomon's instances for each single objective and the experimental results are compared with those in the literature. Secondly, the epsilon-constraint method is applied to solve the bi-objective FCVRP where the total traveled distance and the fuel consumption are both minimized. A real-world case in Cameroon is considered in order to bring help to the decision-maker.
    Keywords: Green VRP; Fuel Consumption; Bi-objective optimization; Meta-heuristic; epsilon-constraint.

  • A Study on Challenges of Passenger Transport System in Bhutan   Order a copy of this article
    by Madan Gurung, Elangbam Haridev Singh 
    Abstract: The entire transport system is faced with challenges. The development of modern Bhutan depends on the robust transportation system as we heavily depend on the import of both goods and services. The role of the transport system is very crucial for any kind of economic development. Challenges from the perspective of economics, environment, social, and technological and operation aspects of transporters were studied using AHP. Transporters had a major issue with not having enough passengers for business operations. The study also shows depleting profit margins due to an increase in the number of taxis and buses in both areas of study, i.e., Thimphu and Phuentsholing. Apart from these challenges, the transport system in Bhutan is not disabled-friendly. The drivers are having health problems due to long engagement hours as well as family problems due to lack of family time. Hence driver as a profession is not a socially recognized.
    Keywords: Passenger Transport; Bus; Taxi; sustainable transport; AHP; MCDA; Bhutan.

  • Selection of polar vessels using multicriteria and capability-based methods   Order a copy of this article
    by Felipe Augusto Soares Salgado, Luiz Gavião, Leonardo Augusto Dos Santos Oliveira, Jose Pereira 
    Abstract: This paper examines the selection of polar research vessels as a reference for procurement by the Brazilian Antarctic Program (PROANTAR). The methodology is based on a hybrid model, combining multicriteria decision support methods (AHP and TOPSIS) and capability-based planning to improve the navy’s decision-making process. Four modern research vessels were analysed in this research. The dataset for the AHP and TOPSIS assessments was obtained from questionnaires to Brazilian Navy officers with a background in naval sciences, management of Antarctic operations and experience with polar vessels. The expected divergences in the assessments were submitted to a Monte Carlo simulation procedure, emulating new data with probability distributions to alleviate these disturbances. The results presented an order of preference for these vessels, in addition to illustrating the application of a new model to support the navy’s decision-making process.
    Keywords: Antarctic vessel; polar vessel; AHP-TOPSIS; capability-based planning; CBP.
    DOI: 10.1504/IJMCDM.2023.10052045
     
  • A Constructive Method for Solving a Multi-objective Linear Program with Bounded Variables   Order a copy of this article
    by Khimoum Noureddine, Mernache Taous, Bibi Mohand Ouamer 
    Abstract: The search for an optimal solution remains a central objective in optimization, but in many situations the optimal solution cannot be obtained in polynomial time. For this, it would sometimes be necessary to find a good solution close to the optimum that can be obtained in a reasonable time. The aim of this paper is to find an "-efficient or efficient solution for a multi- objective linear programming problem with polyhedral constraints and bounded decision variables. For this, we define an "-efficient solution for which a characterization theorem is proved, and where the "-optimality criterion is formulated simultaneously for all the objectives of the problem. By using this concept of "-efficiency, we develop an algorithm that combines the well known Bensons Procedure in multi-objective linear programming and the Adaptive Method elaborated for finding "-optimal solutions in mono-objective linear programming, based on the diminution of the suboptimality estimate. The proposed algorithm is illustrated by a numerical example and finally, it is implemented in Matlab to solve a set of generated test problems. The efficient solutions found are located on the Pareto fronts of the same test problems treated by using the well-known Gamultiobj algorithm of Matlab Optimization Tool.
    Keywords: Multi-Objective Linear Programming; Subefficient Solutions; Benson’s Procedure; Adaptive Method.

  • A Two-Phase Method based on the Branch and Bound Algorithm for Solving the Bi-Oobjective Set Covering Problem   Order a copy of this article
    by HAMIDI Imane, CHAABANE Djamal 
    Abstract: Multicriteria set covering problem (SCP) is classified in the category of NP-hard combinatorial optimization problems. In this paper, we propose a new exact approach to solve the Bi-Objective Set Covering Problem (BOSCP); where Branch and Bound (B&B) technique is the pivot of the procedure skeleton, in both phases. We focus, particularly, on the second phase where a new branching architecture and a new priority order of branching variables are introduced. A rich set of experiments containing a numerical illustration and some MCDM-benchmark BOSCP instances are used to validate our developed method. Some comparisons to an existing two-phase method have been done using the MCDM-benchmark BOSCP instances.
    Keywords: Multi-Objective Integer Linear Programming; Combinatorial problem; Set Covering Problem; Branch and Bound; Two-phase Method.