1,433 research outputs found

    Evaluating the Main Battle Tank Using Fuzzy Number Arithmetic Operations

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    Since the descriptions and judgements on weapon systems are usually linguistic and fuzzy,it is more realistic to evaluate weapon systems in the framework of fuzzy sets theory. In thispaper, a new method to evaluate the best main battle tank is proposed. It can be seen that theproposed method is more efficient due to the fact that, by canonical representation of arithmeticoperation on fuzzy numbers, simple arithmetic operations on crisp numbers are used, instead ofcomplicated fuzzy numbers operations. In addition, the final scores of each alternative can berepresented as crisp numbers. As a result, the order of alternatives can be determined withoutthe procedure of ranking fuzzy numbers. Finally, a numerical example to evaluate the best mainbattle tanks is used to illustrate the efficiency of the proposed method

    Interaction among the Criteria Affecting Main Battle Tank Selection: An Analysis with DEMATEL Method

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    Main battle tanks (MBTs) have always been in the heart of all military campaigns and have enabled armies to fight across the full spectrum of war. Countries need to consider the complex interactions between subsystems of MBTs in the decision phase of a design process or MBT acquisition. In order to define the interaction among the subsystems of ‘system of systems’, which is MBT system for this case, this study aims to determine the criteria and their sub criteria affecting MBT selection problem and to analyse the cause and effect relations among these criteria. The criteria and the complex interaction among them have been determined by consulting a group of experts. Because of multiple complex criteria interactions in MBT selection problem, decision making trial and evaluation laboratory (DEMATEL) method is used as a multiple criteria decision making method. DEMATEL method is applied on the main and the sub criteria separately to understand the cause and effect relations. The results show that Survivability main criterion has the strongest central role among the main criteria for MBT selection, while the followers are firepower, mobility and command and control (C2). It is also shown that, in terms of sub criteria for MBT selection, ballistic protection, a sub criterion of survivability main criterion, has the highest degree of influence over most of the other sub criteria. However, physical dimensions/silhouette, another sub criterion of survivability, is the most affected sub criteria. The top five sub criteria in terms of central role are determined as physical dimensions/silhouette, ballistic protection, power/weight ratio, ground pressure and suspension system

    Recent advances on graphical evaluation and review techniques

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    Graphical evaluation and review techniques (GERT) is a technique to study the stochastic nature of networks consists of different branches. In GERT, all branches are explained in terms of the probability that the branch is traversed and the tile to traverse the branch in case it is realized. This paper presents recent advances of the implementation of GERT in various industries. The study presents a comprehensive description of GERT and recent advances on the implementation of GERT in various industries over the period 2002-2017.Peer reviewedFinal article published.Network designGERTGraphical evaluation and review technique

    Training Aircraft Selection of the Vietnam People's Air Force Using a Hybrid BWM-Fuzzy TOPSIS Method

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    Demands that the Vietnam People's Air Force (VPAF) have new modern training aircraft have been growing recently. Although other training aircraft such as the Yak-52 and L-39 have performed well for decades, they are no longer able to perform the full range of training tasks required of them due to an increasing technology gap. In 2016, the United States government lifted a decade-long ban on lethal arms sales for Vietnam. This has created opportunities for Vietnam to access a variety of weapons suppliers from many countries that have a strong, global defence industry. However, one of the most difficult decisions the VPAF must make concerns the type, configuration, and capabilities of future training aircraft. This study therefore proposes a Multi-Criteria Decision Making (MCDM) model by combining the Best Worst Method (BWM) and a Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (Fuzzy TOPSIS) to choose a modern training aircraft that can replicate the characteristics of several fourth-generation or better fighter planes, with the fifth-generation fighters also being able to perform light-attack and reconnaissance duties for VPAF. The case study employing the hybrid BWM-Fuzzy TOPSIS method reveals that the Yak-130 training aircraft is the best selection for VPAF. To validate the robustness of the proposed framework, sensitivity analysis has been conducted with the result compared to Analytic Hierarchy Process (AHP)

    Application of a D Number based LBWA Model and an Interval MABAC Model in Selection of an Automatic Cannon for Integration into Combat Vehicles

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    A decision making procedure for selection of a weapon system involves different, often contradictory criteriaand reaching decisions under conditions of uncertainty. This paper proposes a novel multi-criteria methodology based on D numbers which enables efficient analysis of the information used for decision making. The proposed methodology has been developed in order to enable selection of an efficient weapon system under conditions when a large number of hierarchically structured evaluation criteria has to be processed. A novel D number based Level Based Weight Assessment – Multi Attributive Border Approximation area Comparison (D LBWA-MABAC) model is used for selection of an automatic cannon for integration into combat vehicles. Criteria weights are determined based on the improved LBWA-D model. The traditional MABAC method has been further developed by integration of interval numbers. A hybrid D LBWA-MABAC framework is used for evaluation of an automatic cannon for integration into combat vehicles. Nine weapon systems used worldwide have been ranked in this paper. This multicriteria approach allows decision makers to assess options objectively and reach a rational decision regarding the selection of an optimal weapon system. Validation of the proposed methodology is performed through sensitivity analysis which studies how changes in the weights of the best criterion and the elasticity coefficient affect the ranking results

    Performance drivers of green innovation under incomplete information

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    AbstractThe environmental management practices have been well studied; few studies are presented the firm's green innovation activities. This study is adopted to evaluate the green innovation for environment management, with a particular focus on managerial, process, product and technological aspects. The empirical analysis from Taiwanese printed circuit board manufacturing firm's reveals that such studies does exist and that the effect of focal firm's green innovation activities has been evaluated. This study identified the appropriate green innovation criteria for the case firms and developed the following selection method: (i) evaluate the weights of aspects, criteria and alternatives as described both by linguistic preferences; and (ii) rank alternative suppliers using a grey relational analysis with entropy weight. This study presents theoretical and empirical evidence of green innovation drivers in the domains of environmental management and has interesting implications for operations management research and practices. This knowledge may contribute to better decision-making towards implementing green innovation practices

    CAD Software Evaluation for Product Design to Exchange Data in a Supply Chain Network

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    The sharing information in a supply chain environment, especially CAD models and drawings are so important companies. So, the selection of the most satisfying computer-aided design (CAD) software which enables to exchange data through supply chain network has been major issues for companies in a supply chain. The selection process of CAD software among the raising number of alternatives in the market has been very vital and critical issue for companies that aim to make their design and engineering related activities automated towards computer integrated manufacturing (CIM) environment. Therefore, most companies have used various methods to successfully carry out this difficult and time-consuming process. Of these methods, Analytic Hierarchy Process (AHP) has been widely used for Multiple Criteria Decision Making (MCDM) problems in both academic researches and practices. But, in some cases, due to the vagueness and uncertainty on judgments of the decision-maker(s), the crisp pair wise comparison in the conventional AHP seems to be insufficient and imprecise to capture the right judgments of decision-maker(s). Therefore, a fuzzy logic is introduced in the pair wise comparison of AHP to make up for this deficiency in the conventional AHP, called as fuzzy AHP. In this paper, a fuzzy AHP-based approach is proposed to evaluate a set of CAD software alternatives in the market to reach the best satisfying one based on the needs of company

    A HYBRID LBWA - IR-MAIRCA MULTI-CRITERIA DECISION-MAKING MODEL FOR DETERMINATION OF CONSTRUCTIVE ELEMENTS OF WEAPONS

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    The paper demonstrates a model whose goal is to define the construction elements of weapons necessary to meet minimum requirements of users. The complexity of the problem, conditioned by different construction elements of weapons and specific situations of their use, is the reason for using methods of multi-criteria decision-making. In the paper we used the hybrid LBWA – IR-MAIRCA model. With this model, one can conduct an analysis of characteristics of the existing weapons, based on which we define the construction elements for modifying the existing and manufacturing new weapons. Regarding a large number of different types of weapons, the paper is limited to the analysis of close-quarters combat weapons. The LBWA method was used to calculate weight coefficients of the criteria. The MAIRCA method, which was modified by interval rough numbers, was used to select the best close-quarters combat weapon that has the best characteristics in accordance with the requests of the users. Based on the analysis, the users have the option to clearly and precisely define requests for improvement of the existing, and manufacturing new weapons
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