Hybrid journal (It can contain Open Access articles) ISSN (Print) 2040-106X - ISSN (Online) 2040-1078 Published by Inderscience Publishers[439 journals]
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Authors:Josefa Garcia Mestanza, Rim Bakhat Pages: 87 - 107 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 paralysed the sector and must be reactivated without reproducing past errors. Overtourism 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. 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 for calculating the weights of the indicators, and the VIKOR method 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. Keywords: overtourism; sustainable indicators; multi-criteria decision-making; MCDM; CRITIC; VIKOR; COVID-19; Spain Citation: International Journal of Multicriteria Decision Making, Vol. 9, No. 2 (2022) pp. 87 - 107 PubDate: 2023-02-09T23:20:50-05:00 DOI: 10.1504/IJMCDM.2022.128894 Issue No:Vol. 9, No. 2 (2023)
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Authors:Dalila Tayachi, Sidonie Ienra Nyako, Moncef Tagina Pages: 108 - 135 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 minimises distance and fuel consumption in the capacitated vehicle routing problem (FCVRP). Firstly, we consider fuel consumption minimisation 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 travelled distance and the fuel consumption are both minimised. A real-world case in Cameroon is considered in order to bring help to the decision-maker. Keywords: green VRP; fuel consumption; bi-objective optimisation; metaheuristic; epsilon-constraint Citation: International Journal of Multicriteria Decision Making, Vol. 9, No. 2 (2022) pp. 108 - 135 PubDate: 2023-02-09T23:20:50-05:00 DOI: 10.1504/IJMCDM.2022.128895 Issue No:Vol. 9, No. 2 (2023)
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Authors:Madan Gurung, Elangbam Haridev Singh Pages: 136 - 153 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 operational 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 also incurring health problems due to long engagement hours as well as family problems due to lack of family time. Hence, driving as a profession is not socially recognised. Keywords: passenger transport; bus; taxi; sustainable transport; analytical hierarchy process; AHP; multi-criteria decision analysis; MCDA; Bhutan Citation: International Journal of Multicriteria Decision Making, Vol. 9, No. 2 (2022) pp. 136 - 153 PubDate: 2023-02-09T23:20:50-05:00 DOI: 10.1504/IJMCDM.2022.128899 Issue No:Vol. 9, No. 2 (2023)
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Authors:Noureddine Khimoum, Taous Mernache, Mohand Ouamer Bibi Pages: 154 - 173 Abstract: The search for an optimal solution remains a central objective in optimisation, 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 <i>ε</i>-efficient or efficient solution for a multi-objective linear programming problem with polyhedral constraints and bounded decision variables. For this, we define an <i>ε</i>-efficient solution for which a characterisation theorem is proved, and where the <i>ε</i>-optimality criterion is formulated simultaneously for all the objectives of the problem. By using this concept of <i>ε</i>-efficiency, we develop an algorithm that combines the well known Benson's procedure in multi-objective linear programming and the adaptive method elaborated for finding <i>ε</i>-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 optimisation tool. Keywords: multi-objective linear programming; MOLP; subefficient solutions; Benson's procedure; adaptive method Citation: International Journal of Multicriteria Decision Making, Vol. 9, No. 2 (2022) pp. 154 - 173 PubDate: 2023-02-09T23:20:50-05:00 DOI: 10.1504/IJMCDM.2022.128904 Issue No:Vol. 9, No. 2 (2023)