scholarly journals REGIONAL AIRCRAFT SELECTION WITH FUZZY PIPRECIA AND FUZZY MARCOS: A CASE STUDY OF THE TURKISH AIRLINE INDUSTRY

2021 ◽  
Vol 19 (3) ◽  
pp. 423
Author(s):  
Mahmut Bakır ◽  
Şahap Akan ◽  
Emircan Özdemir
Keyword(s):  
Airline Industry ◽  
Multi Criteria Decision Making ◽  
Compromise Solution ◽  
Operational Cost ◽  
Selection Decisions ◽  
Criteria Importance ◽  
Comprehensive Framework ◽  
Importance Assessment

Aircraft selection is an important issue in achieving long-term goals in the airline industry. For this issue in which multiple conflicting criteria are involved, the extant literature points to the use of multi-criteria decision-making (MCDM) methods. In this respect, this study aims to propose a systematic and comprehensive framework with a focus on the regional aircraft selection perspective. To achieve this, an integrated fuzzy Pivot Pairwise Relative Criteria Importance Assessment (F-PIPRECIA) and fuzzy Measurement Alternatives and Ranking according to the Compromise Solution (F-MARCOS) approach was employed. In this study, in which six regional aircraft alternatives were evaluated according to 14 criteria, data were collected from five decision experts. As a result, it was found that the most pivotal criterion is C33 (Operational Cost), and the least important criterion is C12 (NOx). In addition, CRJ1000 was identified as the most promising regional aircraft alternative. The results of the application were further validated by applying a three-stage sensitivity analysis. The proposed structure is anticipated to assist airline managers in aircraft selection decisions under uncertainty by offering a robust and systematic tool.

An Integrated Methodology for Evaluation of Electric Vehicles Under Sustainable Automotive Environment

2019 ◽  
pp. 41-62 ◽  
Author(s):  
Tapas Kumar Biswas ◽  
Željko Stević ◽  
Prasenjit Chatterjee ◽  
Morteza Yazdani
Keyword(s):  
Electric Vehicles ◽  
Sustainability Assessment ◽  
Model Performance ◽  
Compromise Solution ◽  
Holistic Model ◽  
Proposed Model ◽  
Criteria Importance ◽  
Assessment Problems ◽  
Selection Of

In this chapter, a holistic model based on a newly developed combined compromise solution (CoCoSo) and criteria importance through intercriteria correlation (CRITIC) method for selection of battery-operated electric vehicles (BEVs) has been propounded. A sensitivity analysis has been performed to verify the robustness of the proposed model. Performance of the proposed model has also been compared with some of the popular MCDM methods. It is observed that the model has the competency of precisely ranking the BEV alternatives for the considered case study and can be applied to other sustainability assessment problems.

scholarly journals An integrated SWOT–extended PIPRECIA model for identifying key determinants of tourism development: The case of Serbia

2021 ◽  
Vol 61 (2) ◽  
pp. 23-40
Author(s):  
Gabrijela Popović ◽  
Dragiša Stanujkić ◽  
Predrag Mimović ◽  
Goran Milovanović ◽  
Darjan Karabašević ◽  
...  
Keyword(s):  
Decision Making ◽  
Systematic Approach ◽  
Group Decision ◽  
Tourism Development ◽  
Integrated Model ◽  
Organization Management ◽  
Main Determinants ◽  
Criteria Importance ◽  
Importance Assessment

This paper proposes a new integrated model based on SWOT and extended PIvot Pairwise RElative Criteria Importance Assessment (PIPRECIA) that offers a systematic approach to strategic planning in tourism. The applicability of the proposed integrated model is demonstrated through a case study defining the main determinants of tourism development in Serbia. The result emphasizes the strategy Improving the organization, management, and enhancement of tourism development as the highest priority for implementation. The model facilitates decision-making in tourism, and its key advantages are its suitability for application in group decision-making and its simplicity.

scholarly journals Evaluation of rapeseed varieties using novel integrated fuzzy PIPRECIA – Fuzzy MABAC model

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246857
Author(s):  
Miroslav Nedeljković ◽  
Adis Puška ◽  
Suzana Doljanica ◽  
Saša Virijević Jovanović ◽  
Pavle Brzaković ◽  
...  
Keyword(s):  
Decision Making ◽  
Comparison Method ◽  
Assessment Method ◽  
Multi Criteria Decision Making ◽  
Vegetable Crops ◽  
Criteria Weights ◽  
Fuzzy Mcdm ◽  
Criteria Importance ◽  
Novi Sad ◽  
Importance Assessment

Decision making is constantly present in agriculture. Choosing the wrong variety carries the risk that the investment in terms of sowing does not pay off at all. Therefore, it is necessary to choose the variety that gives the best results. In order to achieve this, it is necessary to apply multi-criteria decision-making of available varieties, which is, in this paper, done on the example of hybrid varieties of rapeseed that were created by selection at the Institute of Field and Vegetable Crops in Novi Sad. By applying fuzzy logic, a novel integrated Multi-Criteria Decision-Making (MCDM) model is developed and rapeseed varieties were evaluated. For determining four main and 20 subcriteria, fuzzy PIPRECIA (PIvot Pairwise RElative Criteria Importance Assessment) method has been applied based on fuzzy Bonferroni operator, while for ranking alternatives fuzzy MABAC (Multi-Attributive Border Approximation area Comparison) method has been used. The results obtained using the novel integrated fuzzy MCDM model showed that the variety A2 – Zorica has the best results, followed by A1 - NS Ras, while the worst results were seen by the variety A5 - Zlatna. These results were confirmed using other five fuzzy MCDM methods. Sensitivity analysis—changing criteria weights showed the worst results in the variety A6 - Jovana, which took last place in the application of 18 scenarios. The presented model and the results of this research will help farmers to solve this decision problem.

scholarly journals Implementation of Life Cycle Costing on Airline Industry (Case Study of XYZ Airline in Indonesia)

2020 ◽  
Author(s):  
Wayan Winten Adnyano ◽  
Dony Abdul Chalid
Keyword(s):  
Life Cycle ◽  
Airline Industry ◽  
Life Cycle Cost ◽  
Operating Cost ◽  
Operation Time ◽  
Life Cycle Costing ◽  
Cost Calculation ◽  
Airline Company

The airline operating cost may vary along the operation time of the aircraft. This cost fluctuation should be taken as consideration for the decision-making process, for instance, the pricing calculation. A poor costing might distort pricing leading to a loss of business. A long-term oriented cost calculation to forecast the total cost of aircraft during the operation time is critical for the airline company. This research will study whether the life cycle cost analysis is fit for airline company with an emphasis on maintenance and disposal or aircraft redelivery cost and focus on aircraft operating lease context. It uses a case study framework on an airline in Indonesia with the interview and documentation analysis as the main research method. The life cycle cost is found to be fit for the airline company with activity-based life-cycle costing as the applicative model. The research presents an approach that provides a long-term oriented costing that is needed for management decision. Keywords: life cycle costing, airline operating cost

Comparison of Multi-Criteria Decision-Making Techniques for the Location of Multi-Modal Terminals in an Integrated Public Urban Transport System

2019 ◽  
pp. 393-407 ◽  
Author(s):  
Johanna Camargo-Pérez ◽  
Jairo R. Montoya-Torres
Keyword(s):  
Decision Making ◽  
Transport System ◽  
Urban Transport ◽  
Transport Systems ◽  
Multi Criteria Decision Making ◽  
Passenger Transport ◽  
Analytic Hierarchy ◽  
Private And Public ◽  
Criteria Importance

Multiple actors from both private and public sectors are currently involved in the design and operation of urban passenger transport systems seeking at optimizing their own objectives. Multi-criteria decision-making (MCDM) techniques actually aid this process. In this chapter, the authors consider the problem of locating multimodal terminals of an integrated public passenger transport system (IPPTS). A case study for the city of Bogota, Colombia is evaluated. Majority of works in MCDM does not explicitly justify the choice of the applied technique. This chapter applies three different techniques, AHP (analytic hierarchy technique), ELECTRE II (elimination and choice expressing the reality), and CRITIC (criteria importance through intercriteria correlation), to solve problem. A feature of this study is that traditional economic and logistic criteria are evaluated together with environmental and social criteria not previously evaluated in the literature. Numerical results show that each multi-criteria approach may prefer a different alternative, depending on the intrinsic behavior of each technique.

An Integrated CRITIC-MARCOS Technique for Analysing the Performance of Steel Industry

2021 ◽  
pp. 115-127
Author(s):  
Rishi Dwivedi ◽  
Kanika Prasad ◽  
Prashant Kumar Jha ◽  
Shamvavi Singh
Keyword(s):  
Financial Institutions ◽  
Critical Role ◽  
Investment Decisions ◽  
Multi Criteria Decision Making ◽  
Compromise Solution ◽  
Transport Networks ◽  
Consumer Durables ◽  
Steel Consumption ◽  
Criteria Importance ◽  
Decision Making Tool

Steel has played critical role in the expansionist ambition of successful aristocrats and laying the foundation of enviable empires. Modern economies are built on strong infrastructure, communication, and transport networks. Industries, like automobiles, consumer durables, real estate, cannot be imagined without steel. Its synonymy with growth of an economy can be gauged by the fact that matrices, like per capital steel consumption and its contribution to the GDP, are considered as parameters of economic development. It is one of the most tracked industries by the investors, analysts, and financial institutions. In this chapter, a novel multi-criteria decision-making tool while integrating measurement alternatives and ranking according to compromise solution (MARCOS) and criteria importance through intercriteria correlation (CRITIC) methods is developed for evaluation of steel organisations which are constituents of BSE 200 index. The results derived from the implementation of integrated MARCOS-CRITIC model aid diverse stakeholders in making informed investment decisions.

scholarly journals Evaluation of OECD Countries with Multi-Criteria Decision-Making Methods in terms of Economic, Social and Environmental Aspects

2021 ◽  
Vol 4 (2) ◽  
pp. 55
Author(s):  
Talip Arsu ◽  
◽  
Ejder Ayçin ◽  
Keyword(s):  
Decision Making ◽  
Oecd Countries ◽  
The Other ◽  
Multi Criteria Decision Making ◽  
Compromise Solution ◽  
Environmental Aspects ◽  
Expert Opinions ◽  
Environmental Criteria ◽  
The Social ◽  
Criteria Importance

Exhausted natural resources and deteriorating ecological balance, together with the social privileges that people expect to have, are proof that the development of countries cannot be reduced to economic development alone. In this respect, this study aimed to evaluate the economic, social and environmental aspects of Organization for Economic Co-operation and Development (OECD) countries. Within this scope, the countries were firstly divided into two groups by performing cluster analysis in order to create more homogeneous country groups. Then, 12 criteria, consisting of four economic, four social and four environmental criteria, were determined by considering the literature and expert opinions. The criteria importance through intercriteria correlation (CRITIC) method was used to weight the determined criteria and using the calculated criterion weights, the countries in each cluster were then evaluated with the measurement of alternatives and ranking according to compromise solution (MARCOS) method. As a result, the most successful countries in the first cluster were determined as Switzerland, Denmark and Ireland with 68.8%, 62.7% and 62.5% performance scores, respectively. Whereas, the most unsuccessful countries were USA, Canada and Australia with 49.8%, 50.0% and 50.1% performance scores, respectively. The most successful countries in the second cluster were found as Slovenia, Spain and Portugal with 65.9%, 65.5% and 64.5% performance scores, while the most unsuccessful countries were Turkey, Chile and Colombia with 45.9%, 55.4% and 55.9% performance scores, respectively. Finally, in order to test the sensitivity of the MARCOS method, the solution was repeated with the MAIRCA, WASPAS, MABAC and CoCoSo methods using the weights obtained by the CRITIC method. A high correlation (greater than 80%) was found between the rankings acquired using the other methods and the rankings obtained by the MARCOS method.

Caregivers' Perceptions of Speech-Language Pathologist Talk About Child Language and Literacy Disorders

2020 ◽  
Vol 29 (4) ◽  
pp. 2049-2067
Author(s):  
Karmen L. Porter ◽  
Janna B. Oetting ◽  
Loretta Pecchioni
Keyword(s):  
Language And Literacy ◽  
Collective Case Study ◽  
Study Approach ◽  
School Aged Children ◽  
Speech Language Pathologist ◽  
Therapy Goals ◽  
Semistructured Interviews ◽  
Types Of Information

Purpose This study examined caregiver perceptions of their child's language and literacy disorder as influenced by communications with their speech-language pathologist. Method The participants were 12 caregivers of 10 school-aged children with language and literacy disorders. Employing qualitative methods, a collective case study approach was utilized in which the caregiver(s) of each child represented one case. The data came from semistructured interviews, codes emerged directly from the caregivers' responses during the interviews, and multiple coding passes using ATLAS.ti software were made until themes were evident. These themes were then further validated by conducting clinical file reviews and follow-up interviews with the caregivers. Results Caregivers' comments focused on the types of information received or not received, as well as the clarity of the information. This included information regarding their child's diagnosis, the long-term consequences of their child's disorder, and the connection between language and reading. Although caregivers were adept at describing their child's difficulties and therapy goals/objectives, their comments indicated that they struggled to understand their child's disorder in a way that was meaningful to them and their child. Conclusions The findings showed the value caregivers place on receiving clear and timely diagnostic information, as well as the complexity associated with caregivers' understanding of language and literacy disorders. The findings are discussed in terms of changes that could be made in clinical practice to better support children with language and literacy disorders and their families.

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