scholarly journals A knowledge based hierarchical reliability allocation (HIRAL) approach for shipboard systems

2021 ◽  
pp. 147509022110538
Author(s):  
Kadir Cicek
Keyword(s):  
Continuous Operation ◽  
Data Envelopment ◽  
Level System ◽  
Analytic Hierarchy ◽  
Reliability Allocation ◽  
Knowledge Based ◽  
Hybrid Reliability ◽  
Technology Level ◽  
Hierarchy Process

Reliability has become a greater concern in shipboard systems due to increasing amount of technology level, system complexity, and multiple design demands. Enhancement of the shipboard system’s reliability ensures safe and continuous operation onboard a ship. To enhance the reliability of the shipboard system, it is essential to identify each individual component’s reliability. Within this scope, the onerous task of reliability allocation analysis enhances the reliability of shipboard systems through the optimization of component-based designs, construction, and operations. This study proposes a hybrid reliability allocation methodology based on a hierarchical structure with the integration of an analytic hierarchy process (AHP), data envelopment analysis (DEA), and feasibility of objectives (FOO) methods. The proposed methodology provides reliability allocation analyses for systems with any number of components. The study also examines the usefulness of the adaptation of AHP-DEA into reliability allocation analysis. To demonstrate the applicability of the proposed methodology, a case study on the steering gear system is presented.

scholarly journals A knowledge based hierarchical reliability allocation (HIRAL) approach for shipboard systems

2020 ◽  
Author(s):  
Kadir Cicek
Keyword(s):  
Data Envelopment ◽  
Analytic Hierarchy ◽  
Component Reliability ◽  
Reliability Allocation ◽  
Technology System ◽  
Knowledge Based ◽  
Hybrid Reliability ◽  
Hierarchy Process ◽  
Design Construction

Abstract Reliability has become a greater concern in ship-board systems due to increasing technology, system complexity and multiple design demands. Enhancement the reliability of ship-board systems promotes to ensure safe and continuous operation onboard a ship. To enhance the reliability of ship-board system, it is essential to figure out each individual component reliability. Within this scope, reliability allocation analysis turns into an onerous task to enhance the reliability of ship-board systems through identification of possible component-based design, construction and operation optimizations. This study proposes a hybrid reliability allocation methodology based on hierarchical structure with the integration of analytic hierarchy process (AHP), data envelopment analysis (DEA) and feasibility of objectives (FOO) methods. The proposed methodology provides reliability allocation analysis for systems with any number of components. Also, the study figures out the usefulness of the adaptation of AHP-DEA into reliability allocation analysis. To demonstrate the applicability of proposed methodology, a case study on steering gear system is presented.

Fuzzy multi-criteria decision-making: An entropy-based approach to assess tourism sustainability

2019 ◽  
pp. 135481661988520
Author(s):  
Joseph Andria ◽  
Giacomo di Tollo ◽  
Raffaele Pesenti
Keyword(s):  
Decision Making ◽  
Evaluation Criteria ◽  
Multiple Criteria Decision Making ◽  
Data Envelopment ◽  
Analytic Hierarchy ◽  
Entropy Maximization ◽  
Tourist Destinations ◽  
Hierarchy Process ◽  
Direct Applicability

In this article, we propose a method for ranking tourist destinations and evaluating their performances under a sustainability perspective: a fuzzy multiple criteria decision-making method is applied for determining sustainability performance values and ranking destinations accordingly. We select a set of sustainability evaluation criteria and use a fuzzy analytic hierarchy process to weight the selected criteria. We also optimize each evaluator’s membership function support by means of a fuzzy entropy maximization criteria. A case study is illustrated and results are compared with two data envelopment analysis–based models. The simplicity of the proposed approach along with the easy readability of the results allow its direct applicability for all involved stakeholders.

scholarly journals A three-system approach that integrates DEA, BSC, and AHP for museum evaluation

2020 ◽  
Vol 43 (2) ◽  
pp. 413-441
Author(s):  
Antonella Basso ◽  
Stefania Funari
Keyword(s):  
Balanced Scorecard ◽  
Performance Indicator ◽  
Evaluation Model ◽  
Data Envelopment ◽  
Analytic Hierarchy ◽  
Second Stage ◽  
Performance Evaluation Model ◽  
Museum Evaluation ◽  
Hierarchy Process

AbstractThis paper proposes to measure the museums performance with a model that combines the Data Envelopment Analysis (DEA) and Balanced Scorecard (BSC) methodologies with a third method, the analytic hierarchy process (AHP), which is often used to support decision making. Starting from the two-stage DEA–BSC model of Basso et al. (Omega Int J Manag Sci 81:67–84, 2018), which integrates DEA and BSC, we explore the advantages to consider also the AHP methodology, with the aim to include the judgement of some museums’ experts on the relative importance of the BSC perspectives in the performance evaluation model. A first approach uses directly the AHP priorities derived from the judgements expressed by the museums’ experts interviewed to determine the weights to aggregate the four BSC performance scores into an overall performance indicator. A second approach uses the judgments of the museums’ experts indirectly to introduce proper restrictions on the output weights of the second-stage DEA model. With this approach, we overcome the problem arising from the dispersion of the preferences within the group of experts, that may heavily affects the first approach. Both approaches proposed in this contribution are applied to the case study of the municipal museums of Venice.

scholarly journals AN INTEGRATED FUZZY AHP/DEA APPROACH FOR PERFORMANCE EVALUATION OF TERRITORIAL UNITS IN TURKEY

2018 ◽  
Vol 24 (4) ◽  
pp. 1280-1302 ◽  
Author(s):  
Ahmet Çalik ◽  
Nimet Yapici Pehlivan ◽  
Cengiz Kahraman
Keyword(s):  
Social Life ◽  
Fuzzy Ahp ◽  
Decision Makers ◽  
Data Envelopment ◽  
Analytic Hierarchy ◽  
Second Stage ◽  
Dea Method ◽  
Two Stages ◽  
Hierarchy Process

Due to the differences between regions and sub-regions in the countries, some problems come out especially in economic and social life. The issue of differences of regions has been widely implemented to evaluate the economic performance of Turkey in many disciplines. The objective of this paper is to evaluate the efficiency of 26 sub-regions of NUTS-2 classification using integration Fuzzy Analytic Hierarchy Process (FAHP) with Data Envelopment Analysis (DEA). The integrated FAHP/DEA method comprises two stages. In the first stage, linguistic terms are used to determine the decision makers’ opinion and are converted to quantitative forms by using FAHP methods. Subsequently, in the second stage, DEA method is applied to obtain relative efficiency of sub-regions in Turkey. The integrated FAHP/DEA method is illustrated with a real case study.

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