Efficiency Indicators to Evaluate Services in Port Services: A Proposal Using Fuzzy-Ahp Approach

Longaray, André Andrade; Gomes, Carlos Francısco Sımões; Elacoste, Ticiane Schivittez; Machado, Cátia Maria dos Santos

doi:10.1590/0101-7438.2019.039.03.0437

Cited by 4 publications

(1 citation statement)

References 32 publications

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“…With the fuzzy set theory, the imprecise and uncertain values of the decision criteria are modelled with fuzzy numbers (Durbach and Stewart 2012;Longaray et al 2019). The possibility theory is known to be a very good framework to simultaneously deal with imprecision (vagueness) and uncertainty due to a lack of accurate and complete information (knowledge) (French 1995;Solaiman and Éloi Bossé 2019;Hose, Mäck, and Hanss 2019;Denoeux, Dubois, and Prade 2020).…”

Section: Multi-criteria Decision Making (Mcdm) Under Imprecision and Uncertaintymentioning

confidence: 99%

Possibilistic Pareto-dominance approach to support technical bid selection under imprecision and uncertainty in engineer-to-order bidding process

Sylla

Coudert

Vareilles

et al. 2020

International Journal of Production Research

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Successful bidding involves defining relevant technical bid solutions that conform to the customers' requirements, then selecting the most interesting one for the commercial offer. However, in Engineer-To-Order (ETO) industrial contexts, this selection process is complicated by issues of imprecision, uncertainty and confidence regarding the values of the decision criteria. To address this complexity, a Multi-Criteria Decision Making (MCDM) support approach is proposed in this study. This approach is based on possibility theory and the Pareto-dominance principle. It involves three main stages. First, a method is proposed to automatically model the values of the decision criteria by possibility distributions. Second, four possibilistic mono-criterion dominance relations are developed to compare two solutions with respect to a single decision criterion. Finally, an interactive method is devised to determine the most interesting technical bid solutions with respect to all the decision criteria. The method is applied to the design of a technical bid solution of a crane. The results show that this approach enables bidders to select the most interesting solution during a bidding process, while taking into account imprecision, uncertainty and their own confidence regarding the values of the decision criteria.

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Section: Multi-criteria Decision Making (Mcdm) Under Imprecision and Uncertaintymentioning

confidence: 99%

Possibilistic Pareto-dominance approach to support technical bid selection under imprecision and uncertainty in engineer-to-order bidding process

Sylla

Coudert

Vareilles

et al. 2020

International Journal of Production Research

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The Panama Canal Expansion

Rodríguez

2023

Rev. Cient. Gen. José María Córdova

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The Panama Canal has played an important role in the history of the shipping industry. Therefore, it was reasonable to forecast that the Panama Canal expansion would impact port throughput in the six transshipment ports located in Panama. To examine this impact, two periods were analyzed. The first period covered October 2010 to June 2016. The second period covered July 2016 to March 2022. The Wilcoxon signed-rank test and the IBM SPSS Statistics software were used to analyze public data from the Central American Maritime Transport Commission (COCATRAM) measuring port throughput. The research concluded that the Panama Canal expansion has not produced a statistically significant impact on the port throughput of (a) cargo tonnage, (b) cargo TEU and (c) vessel calls.

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A Novel Computational Mathematical Model for Team and Route Selection of the Emergency Response Operations

Lopes Ribeiro,

Andrade Longaray

2024

Eng. Technol. Appl. Sci. Res.

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During the daily operations of emergency response, the decision maker is faced with the complex challenge of selecting a team and route in a short time period to respond and attend to the emergency. This study presents the combined use of the Analytic Hierarchy Process (AHP), the Élimination Et Choix Traduisant la Realité II (ELECTRE II), and the Dijkstra algorithm to deal with such situations. First, the AHP method is implemented to rank the aspects that are most relevant to a given emergency. Subsequently, this ranking is employed in ELECTRE-II to determine which emergency response team is best prepared to provide support. In the last stage of the proposed model, regarding the geographic coordinates of the team and the emergency, the Geographic Information System (GIS) utilizes the Dijkstra algorithm to regulate the most suitable route for assistance.

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Efficiency Indicators to Evaluate Services in Port Services: A Proposal Using Fuzzy-Ahp Approach

Cited by 4 publications

References 32 publications

Possibilistic Pareto-dominance approach to support technical bid selection under imprecision and uncertainty in engineer-to-order bidding process

Possibilistic Pareto-dominance approach to support technical bid selection under imprecision and uncertainty in engineer-to-order bidding process

The Panama Canal Expansion

A Novel Computational Mathematical Model for Team and Route Selection of the Emergency Response Operations

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