Template-Type: ReDIF-Article 1.0 Author-Name: Imane Hamidi Author-X-Name-First: Imane Author-X-Name-Last: Hamidi Author-Name: Djamal Chaabane Author-X-Name-First: Djamal Author-X-Name-Last: Chaabane Title: A two-phase method based on the branch and bound algorithm for solving the bi-objective set covering problem Abstract: Multicriteria set covering problem (SCP) is classified in the category of NP-hard combinatorial optimisation 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. Journal: Int. J. of Multicriteria Decision Making Pages: 281-321 Issue: 4 Volume: 9 Year: 2023 Keywords: multi-objective integer linear programming; MOILP; combinatorial problem; set covering problem; branch and bound; B&B; two-phase method. File-URL: http://www.inderscience.com/link.php?id=134923 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmcdm:v:9:y:2023:i:4:p:281-321 Template-Type: ReDIF-Article 1.0 Author-Name: Jiří Franek Author-X-Name-First: Jiří Author-X-Name-Last: Franek Author-Name: Terezie Krestová Author-X-Name-First: Terezie Author-X-Name-Last: Krestová Title: Selection of appropriate age management measures using multi-criteria decision-making methods with interrelationships Abstract: Age management is an approach that reflects the age of employees to support organisation performance. Organisations set age management goals and try to achieve them through specific measures. To effectively apply age management, it must be aligned with the general and human resource strategy of organisations. A limitation in the implementation of age management can be found in the procedure that is vaguely described in the available literature. This paper proposes a new application of multi-criteria decision-making (MCDM) methods in the field of age management to evaluate age management goals and select the most preferred measures for a specific organisation. To evaluate age management measures, we applied AHP, ANP, and WINGS multi-criteria decision-making methods. The evidence suggests that the relationships among measures are complex, and that the application of matrix-based MADM methods is beneficial. However, the ranking of alternatives estimated by the AHP, ANP, and WINGS was identical. Journal: Int. J. of Multicriteria Decision Making Pages: 351-378 Issue: 4 Volume: 9 Year: 2023 Keywords: age management; human resource management; analytic hierarchy process; analytic network process; ANP; weighted influence nonlinear gauge system; WINGS; multi-criteria decision-making; MCDM. File-URL: http://www.inderscience.com/link.php?id=134925 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmcdm:v:9:y:2023:i:4:p:351-378 Template-Type: ReDIF-Article 1.0 Author-Name: Ayşe Demir Author-X-Name-First: Ayşe Author-X-Name-Last: Demir Author-Name: İskender Peker Author-X-Name-First: İskender Author-X-Name-Last: Peker Author-Name: A. Cansu Gök Author-X-Name-First: A. Cansu Author-X-Name-Last: Gök Title: A decision-making approach for open innovation model selection in the Turkish automotive industry Abstract: The concept of open innovation (OI) has become crucial in the sustainable competitiveness of industries. The selection and application of appropriate OI models for businesses also compose an important research question. This study aims to decide the most suitable OI model in the Turkish automotive industry through a three-step multi-criteria decision-making (MCDM) model. Firstly, the criteria that may affect the evaluation of the OI models are stated and weighted by analytic hierarchy process (AHP). Afterward, VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) is used to rank the OI models that can be implemented in the automotive industry. In the last phase, the impacts of differentiation in criteria weights are tested with one-dimensional sensitivity analysis. According to the results, the <i>coupled open innovation model</i> is ranked as the best alternative and the differentiation in criterion weights does not affect this ranking. This study is the first attempt that attains the most suitable OI model in the automotive industry by a hybrid MCDM approach. Journal: Int. J. of Multicriteria Decision Making Pages: 379-405 Issue: 4 Volume: 9 Year: 2023 Keywords: open innovation models; multi-criteria decision-making; MCDM; automotive industry; VIKOR. File-URL: http://www.inderscience.com/link.php?id=134926 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmcdm:v:9:y:2023:i:4:p:379-405 Template-Type: ReDIF-Article 1.0 Author-Name: Yunus Emre Aykac Author-X-Name-First: Yunus Emre Author-X-Name-Last: Aykac Author-Name: Melih Yucesan Author-X-Name-First: Melih Author-X-Name-Last: Yucesan Author-Name: Muhammet Gul Author-X-Name-First: Muhammet Author-X-Name-Last: Gul Title: Development of a best-worst method based MCDM approach for solar power plant location selection: an application to Tunceli, Turkey Abstract: Solar energy stands out with its increasing potential in the world. The decision to choose the location of a solar power plant is very important due to the investment return. In this study, a solar power plant site selection for Tunceli, Turkey is studied with a two-stage multi-criteria decision-making approach. In the first stage, the importance levels of the determined nine factors are obtained by the best-worst method (BWM). In the second stage, the most appropriate site is selected among the eight districts of Tunceli. As a result of the first stage, solar and fault line emerged as the most and least important factor, respectively. The second stage showed that Pertek district is the most suitable place. A comparative framework has been created including five different MCDM methods, which strengthens the final decision's accuracy and reveals whether each method's results are correlated. Journal: Int. J. of Multicriteria Decision Making Pages: 322-350 Issue: 4 Volume: 9 Year: 2023 Keywords: solar energy; power plant location; multi-criteria decision-making; best-worst method; BWM; Tunceli; Turkey. File-URL: http://www.inderscience.com/link.php?id=134927 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmcdm:v:9:y:2023:i:4:p:322-350 Template-Type: ReDIF-Article 1.0 Author-Name: Felipe Augusto Soares Salgado Author-X-Name-First: Felipe Augusto Soares Author-X-Name-Last: Salgado Author-Name: Luiz Octávio Gavião Author-X-Name-First: Luiz Octávio Author-X-Name-Last: Gavião Author-Name: Leonardo Augusto dos Santos Oliveira Author-X-Name-First: Leonardo Augusto dos Santos Author-X-Name-Last: Oliveira Author-Name: José Cristiano Pereira Author-X-Name-First: José Cristiano Author-X-Name-Last: Pereira Title: Selection of polar vessels using multicriteria and capability-based methods 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 navys decision-making process. Journal: Int. J. of Multicriteria Decision Making Pages: 176-203 Issue: 3 Volume: 9 Year: 2023 Keywords: Antarctic vessel; polar vessel; AHP-TOPSIS; capability-based planning; CBP. File-URL: http://www.inderscience.com/link.php?id=134103 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmcdm:v:9:y:2023:i:3:p:176-203 Template-Type: ReDIF-Article 1.0 Author-Name: Madan Gurung Author-X-Name-First: Madan Author-X-Name-Last: Gurung Title: Factors influencing commercial bank selection choices by customers in Bhutan - an analysis using analytic hierarchy process Abstract: This research paper presents the most recent findings to provide a validated instrument for assessing bank customers' selection decisions in Bhutan. The study's goal was to identify and examine the main factor which was influencing the customers' choice of commercial banks in Bhutan. A convenience sampling method was used, and data were collected using a well-structured questionnaire from a sample of 150 bank customers in Thimphu. The findings revealed that one of the most important factors of customers' bank selection decisions was service delivery, followed by convenience. Bank of Bhutan Limited was ranked first with the highest global priority weight and Druk Punjab National Bank Limited was ranked last with the lowest global priority weight when determining consumers' preference of bank based on each criterion evaluated in this study. Journal: Int. J. of Multicriteria Decision Making Pages: 231-249 Issue: 3 Volume: 9 Year: 2023 Keywords: bank selection; customers; commercial banks; analytic hierarchy process; AHP; Bhutan. File-URL: http://www.inderscience.com/link.php?id=134122 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmcdm:v:9:y:2023:i:3:p:231-249 Template-Type: ReDIF-Article 1.0 Author-Name: Elif Göksu Öztürk Author-X-Name-First: Elif Göksu Author-X-Name-Last: Öztürk Author-Name: Ana Maria Rodrigues Author-X-Name-First: Ana Maria Author-X-Name-Last: Rodrigues Author-Name: José Soeiro Ferreira Author-X-Name-First: José Soeiro Author-X-Name-Last: Ferreira Title: A new matrix form genetic encoding for balanced, compact and connected sectorisation through NSGA-II Abstract: Sectorisation refers to dividing a whole into smaller parts, the sectors, to facilitate an activity or achieve some goals. The paper proposes a new matrix form genetic encoding system, called matrix form binary grouping (MFBG), specifically designed for sectorisation and related problems. In MFBG representation, the columns and rows represent sectors and nodes, respectively. As a solution procedure, we followed NSGA-II by contemplating adapted measures for three commonly used criteria (equilibrium, compactness, contiguity) for sectorisation problems. The performance of the MFBG within the NSGA-II is tested from two perspectives: 1) through several experiments on the set of instances; 2) by its comparison with the group-oriented genetic encoding system under the grouping GA. Results showed that the MFBG could find good quality solutions and outperforms the GGA. This confirms that the MFBG is an innovative procedure for dealing with sectorisation problems and an excellent contribution as an alternative encoding technique. Journal: Int. J. of Multicriteria Decision Making Pages: 250-279 Issue: 3 Volume: 9 Year: 2023 Keywords: sectorisation; matrix form genetic encoding; multi-objective optimisation; NSGA-II; multi-criteria; Pareto frontier; performance metrics. File-URL: http://www.inderscience.com/link.php?id=134132 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmcdm:v:9:y:2023:i:3:p:250-279 Template-Type: ReDIF-Article 1.0 Author-Name: Dimitrios Novas Author-X-Name-First: Dimitrios Author-X-Name-Last: Novas Author-Name: Dimitrios Papakyriakopoulos Author-X-Name-First: Dimitrios Author-X-Name-Last: Papakyriakopoulos Author-Name: Elizabeth Powlesland-Kartaloglou Author-X-Name-First: Elizabeth Author-X-Name-Last: Powlesland-Kartaloglou Author-Name: Anastasia Griva Author-X-Name-First: Anastasia Author-X-Name-Last: Griva Title: Ranking based on user comments with multiple criteria: the case of Greek restaurants in Athens Abstract: User generated content (UGC) is a valuable resource for the multi-criteria decision-making process. Platforms, such as TripAdvisor, enable the registration of comments and post rankings. However, existing ranking mechanisms are not transparent, making it impossible to evaluate their integrity and accuracy. Additionally, it has been shown that these rankings are, in some cases, inaccurate and misleading. This prompted the need for developing a ranking mechanism based on UGC to capture experiences and feelings, rather than quantitative data (bubbles/stars). The proposed ranking mechanism employs LDA to generate topics, which are transformed with fuzzy logic to variables, used to produce ranking results. We empirically studied the proposed ranking mechanism using TripAdvisor's user comments on a sample of restaurants located in Athens, Greece and compared the results to a simple quantitative ranking scheme. In some cases, the ranking differed. Further investigation is needed to address the limitations encountered in this research. Journal: Int. J. of Multicriteria Decision Making Pages: 204-230 Issue: 3 Volume: 9 Year: 2023 Keywords: multi-criteria analysis; text mining; TripAdvisor; ranking; fuzzy numbers; restaurants. File-URL: http://www.inderscience.com/link.php?id=134135 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmcdm:v:9:y:2023:i:3:p:204-230