An AHP Approach to Aircraft Selection Process

Dožić, Slavica; Kalić, Milica

doi:10.1016/j.trpro.2014.10.102

Cited by 57 publications

(33 citation statements)

References 4 publications

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“…The fact that the former fighter selection problem has been addressed for decades can be reviewed from the earlier textbooks of multi-attribute decision-making (MADM) [25] that is about the selection of a 'traditional fighter' to the article that is recently published, which is about the selection of 'new fighters' [26]. Except for the fighting aircrafts, the selection problem of 'normal aircrafts' (that is to meet passengers' travel and airline companies' aero network route demands) is also popular, until recently [27]. As is seen, rarely did these studies tackle with the design problem of next generation fighters systematically, as to unveil the relevant knowledge about budgeting for the design and R&D works of next generation fighters.…”

Section: The Problem Context Of the Specific High Cost Product Designmentioning

confidence: 99%

“…However, this example has been used over several decades, both the case data and the selection criteria set are relatively dated ('dated' relative to the new types of considered criteria as abovementioned for developing new fighters). Besides, as discussed previously, most recent MADM models are proposed for solving the 'selection' problem of (existing) fighting aircrafts or normal aircrafts [26,27], rather than concerning the 'design' and R&D issues of fighters. This feature distinguishes the case that is studied here from other aircraft (type) selection cases, in terms of the type of problem to be solved in the intrinsic.…”

Section: Beyond Visual Range Integrated Attack Capabilitymentioning

confidence: 99%

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A Knowledge Discovery Education Framework Targeting the Effective Budget Use and Opinion Explorations in Designing Specific High Cost Product

Chi

Zhuang

Fu³

et al. 2018

Sustainability

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Abstract:For an R&D institution to design a specific high investment cost product, the budget is usually 'large but limited'. To allocate such budget on the directions with key potential benefits (e.g., core technologies) requires, at first and at least, a priority over the involved design criteria, as to discover the relevant decision knowledge for a suitable budgeting plan. Such a problem becomes crucial when the designed product is relevant to the security and military sustainability of a nation, e.g., a next generation fighter. This study presents a science education framework that helps to obtain such knowledge and close the opinion gaps. It involves several main tutorial phases to construct and confirm the set of design criteria, to establish a decision hierarchy, to assess the preferential structures of the decision makers (DMs) (individually or on a group basis), and to perform some decision analyses that are designed to identify the homogeneity and heterogeneity of the opinions in the decision group. The entire framework has been applied in a training course hold in a large R&D institution, while after learning the staff successfully applied these knowledge discovery processes (for planning the budget for the fighter design works and for closing the opinion gaps present). With the staffs' practical exercises, several empirical findings except for the budgeting priority (e.g., the discrimination between 'more important criteria' against the less important ones) are also interesting. For some examples (but not limited to these), it is found that the results from using two measures (statistical correlation vs. geometrical cosine similarity) to identify the opinion gaps are almost identical. It is found that DMs' considerations under various constructs are sometimes consistent, but often hard to be consistent. It is also found that the two methods (degree of divergence (DoD) vs. number of observed subgroups (NSgs)) that are used to understand the opinions' diversity under the constructs are different. The proposed education framework meets the recent trend of data-driven decision-making, and the teaching materials are also some updates to science education.

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Section: The Problem Context Of the Specific High Cost Product Designmentioning

confidence: 99%

Section: Beyond Visual Range Integrated Attack Capabilitymentioning

confidence: 99%

A Knowledge Discovery Education Framework Targeting the Effective Budget Use and Opinion Explorations in Designing Specific High Cost Product

Chi

Zhuang

Fu³

et al. 2018

Sustainability

View full text Add to dashboard Cite

show abstract

“…The six criteria are chosen in the second level of hierarchy (Dožić and Kalić, 2014) from airline's perspective, as aforementioned. The third level includes different aforementioned aircraft types selected to be candidates in the set of alternatives (Dožić and Kalić, 2014). The criteria are described by numerical, quantitative values, with the exception of payment conditions which are quantitatively defined.…”

Section: Analytic Hierarchy Processmentioning

confidence: 99%

“…Considering the difference between the AHP and ESM, the sensitivity analysis is carried out in different ways. In the AHP, the sensitivity of alternative ratings with respect to different pairwise comparisons of the alternatives is analysed (Dožić and Kalić (2014) analyzed solution sensitivity with respect to different pairwise comparisons of the criteria), while in the even swaps method the objective ranking across alternatives is varied in order to learn solution sensitivity. Dožić and Kalić (2015) developed the three stages airline fleet planning model encompassing approximate fleet mix, fleet sizing and aircraft selection, respectively.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Two MCDM Methodologies in Aircraft Type Selection Problem

Dožić

Kalić

2015

Transportation Research Procedia

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In order to provide a satisfactory choice while dealing with multiple criteria, planners apply some of the multiple criteria decision making (MCDM) methods as an aid to decision making. As the aircraft type selection embodies inherent multi-criteria decision making, two MCDM methods, the Analytic Hierarchy Process (AHP) and the Even Swaps Method (ESM), are applied and illustrated with the case study of a hypothetical regional airline. These methods are compared, as well as solutions they arrived at. Considering the difference between the AHP and ESM, a sensitivity analysis is carried out in different ways. In the AHP, the sensitivity of alternative ratings in respect to different pairwise comparisons of the alternatives is analysed, showing that the AHP is sensitive to this kind of changing. In the even swaps method, the objective ranking across alternatives is varied showing that the ESM is not sensitive at all. The final priority weight for specific aircraft type decreases with the decrease of the domination measure of one aircraft over another with respect to payment conditions, for all aircraft types in the solutions obtained by AHP.

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“…These defects result in the original data can not fully used in evaluation and predicting of the logistics activities, and the data are wasteful [1,2]. It is big problem need to be solved that how to fully inspire the parties involved in the logistics information system, analyze the various risk factors, correctly evaluate the influence of various factors, establish the quality evaluation model of logistics system management and achieve the maximum benefit [3]. Support vector machine is a sophisticated and highly principled learning method for designing a sub-linear element only contained in the hidden layer of back forward network.…”

Section: Introductionmentioning

confidence: 99%

Research on Logistic Management Quality Evaluation Based on Support Vector Machine

Deng¹,

Yu²,

Ning³

2016

Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering

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Abstract. For making feasible logistics management come true, fully using data resources, and establishing in line with the development of a healthy enterprise logistics management mode, this paper puts forward a new analysis model for evaluating the quality level of logistics management based on support vector machine theory. By analyzing the influence factors in the logistics business process, the proposed model predicts management efficiency of logistics operations implementation, and provide theoretical support for logistics management system optimization. The support vector machine is of accuracy and efficiency, which is effective for the quality evaluation of logistics management.

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An AHP Approach to Aircraft Selection Process

Cited by 57 publications

References 4 publications

A Knowledge Discovery Education Framework Targeting the Effective Budget Use and Opinion Explorations in Designing Specific High Cost Product

A Knowledge Discovery Education Framework Targeting the Effective Budget Use and Opinion Explorations in Designing Specific High Cost Product

Comparison of Two MCDM Methodologies in Aircraft Type Selection Problem

Research on Logistic Management Quality Evaluation Based on Support Vector Machine

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