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Közösségi média marketing stratégia elemzése – különböző szinten versenyző kézilabda klubok vizsgálatán keresztül
IF 1.6 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-06-30 DOI: 10.21791/ijems.2023.2.5.
Ákos Pethő, C. Pfau
Magyarországon kiemelt figyelmet és támogatottságot élvez a kézilabda, ez nem csupán hazánkra, hanem Európára is igaz, valamint egyre nagyobb teret hódít magának világszerte is a sportág. Az elmúlt két évtized egyik legnagyobb újdonsága minden a közösségi média, ami megreformálta az információ átadással és a hagyományos marketing tevékenységgel kapcsolatos alap stratégiákat. Ezeken a platformokon gyökeresen változtak meg a tartalomgyártás folyamatai, amire minden sportklubnak érdemes figyelmet fordítania, hiszen jelentős előnyökhöz juthatnak mind gazdasági-, marketing-, közösségépítés terén egyaránt, ha képesek jól kommunikálni. Három egymástól eltérő szinten versenyző sportklub került összehasonlításra kvalitatív vizsgálat során a közösségi média marketing stratégia tevékenységüket tekintve, amelyek név szerint a PICK Szeged, a Balatonfüredi KSE – BFKA Balatonfüred és a DEAC kézilabda csapata. Ezen vizsgálati modellnek az alapkoncepciója arra épült fel, hogy a különböző szinteken, különböző sportszakmai célokért küzdő klubcsapatok online marketingkommunikációs tevékenysége miben tér el egymástól, valamint mik azok a fejlődési lehetőségek, szempontok, amivel lehető leghatékonyabban lehet érvényesülni a social média felületeken. A kézilabda klubcsapatok több kutatási kérdésben is egyetértettek, de felfedezhető volt jelentős különbség is egy-egy területen, amiben a közösségi médiáért felelős szakemberek nem értettek egyet, vagy más nézőpontot képviseltek. Eredményeimet tekintve megállapítható, hogy egy sikeres online marketing stratégia mögött mindig komoly előkészületi és tervező munka áll, valamint a tartalomgyártás diverzifikálása kulcsfontosságú a különböző felületeken, mert a platformok fogyasztói közössége is eltérő egymástól.
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引用次数: 0
A Situational Based Reliability Indices Estimation of ULT Freezer using Preventive Maintenance under Fuzzy Environment 模糊环境下基于情景的ULT冷冻库预防性维修可靠性指标估计
IF 1.6 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-06-01 DOI: 10.33889/ijmems.2023.8.3.027
P. Dhiman, Amit Kumar
Reliability of high demand machines is quite necessary and it can be maintained through proper and timely maintenance, Ultra-low temperature (ULT) freezer is one of those kinds of machines which are in high demand during covid-19 pandemic for the storage of vaccine. The rapid production of vaccines for the prevention of coronavirus disease 2019 (COVID-19) is a worldwide requirement. Now the next challenge is to store the vaccine in a ULT freezer. It’s become really a big problem to store the vaccine which creates the demand of ULT freezer. The present paper investigates a situational based performance of the ULT freezer with the aim to predict the impact of different component failures as well as human errors on the final performance of the same. For the study, it is not possible to extract the parameters (failure rate and repair time) of the components that never failed before. Thus, to overcome this difficulty, here authors use the possibility theory. Authors present the available data in Right triangular fuzzy number with some tolerance as suggested by system analyst. The lambda-tau methodology and arithmetic operations on right triangular generalized fuzzy numbers (RTrFN) are used to find the various performance parameters namely MTTF, MTTR, MTBF, reliability, availability, maintainability (RAM) and ENOF, under fuzzy environment. The proposed model has been studied using possibility theory under working conditions, preventive maintenance as well as under the rest of conditions. This study reveals the most and least critical component of the ULT freezer which helps maintenance department to plan the maintenance strategy accordingly.
高需求机器的可靠性是非常必要的,它可以通过适当和及时的维护来维持。超低温(ULT)冷冻柜是新冠肺炎大流行期间对疫苗储存需求量很大的机器之一。快速生产用于预防2019冠状病毒病(新冠肺炎)的疫苗是世界范围的要求。现在,下一个挑战是将疫苗储存在ULT冷冻柜中。储存疫苗真的成了一个大问题,这就产生了对ULT冷冻柜的需求。本文研究了ULT冷冻柜基于情景的性能,旨在预测不同部件故障以及人为错误对其最终性能的影响。对于该研究,无法提取以前从未发生过故障的部件的参数(故障率和修复时间)。因此,为了克服这一困难,本文作者运用了可能性理论。根据系统分析员的建议,作者给出了具有一定容差的直角三角形模糊数的可用数据。利用lambda-tau方法和对右三角广义模糊数(RTrFN)的算术运算,求出了模糊环境下的各种性能参数,即MTTF、MTTR、MTBF、可靠性、可用性、可维护性(RAM)和ENOF。在工作条件、预防性维护以及其他条件下,使用可能性理论对所提出的模型进行了研究。本研究揭示了ULT冷冻柜最关键和最不关键的部件,有助于维护部门相应地规划维护策略。
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引用次数: 1
Novel Solution for Time-fractional Klein-Gordon Equation with Different Applications 不同应用的时间分数阶Klein-Gordon方程新解
IF 1.6 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-06-01 DOI: 10.33889/ijmems.2023.8.3.030
In this paper, for the first time, the Laplace Homotopy Perturbation Method (LHPM), which is the coupling of the Laplace transform and the Homotopy Perturbation Method, is employed to solve non-linear time-fractional Klein-Gordon (TFKG) equations. In other words, for the first time in literature, LHPM is used to solve non-linear TFKG equations. First of all, the procedure of LHPM on TFKG with Caputo fractional derivative is developed. Further, the developed approach of LHPM on TFKG is used for two different examples. This in turn proves the versatile nature of the proposed method. In addition, the validity of the approach is proved by comparing the numerical solutions of both examples with their exact solution. Finally, the comparison of relative errors calculated in each example proves the efficiency and effectiveness of the proposed method on TFKG equations.
本文首次将拉普拉斯变换与同伦摄动方法相结合的拉普拉斯同伦摄动方法(LHPM)用于求解非线性时间分数阶Klein-Gordon (TFKG)方程。也就是说,在文献中首次将LHPM用于求解非线性TFKG方程。首先,开发了具有Caputo分数阶导数的TFKG上的LHPM程序。此外,本文还对两个不同的实例进行了LHPM方法的应用。这反过来证明了所提出的方法的通用性。此外,通过将两个算例的数值解与精确解进行比较,证明了该方法的有效性。最后,通过对各算例计算的相对误差进行比较,验证了所提方法在TFKG方程上的效率和有效性。
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引用次数: 0
A Soft Computing Intelligent Control Algorithm to Extract Maximum Energy from Solar Panel 太阳能电池板能量提取的软计算智能控制算法
IF 1.6 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-06-01 DOI: 10.33889/ijmems.2023.8.3.026
M. Hasan
Utilizing soft computing, a maximum power point tracking (maximum PPT) control algorithm is developed, and its performance is compared to that of more traditional Lead Acid battery charging methods such as incremental conductance technique-based maximum PPT. Since the power vs voltage graph of a photovoltaic (PV) cell is nonlinear, a suitable control method seeks to obtain the highest power under dynamic conditions. In order to construct a PV cell with the maximum PPT, a fuzzy logic control approach known as soft computing is used. The cell active energy is used to charge the lead acid battery. A fuzzy logic compares its performance with the incremental conductance technique under dynamic conditions. Moreover, dc to dc converter is required to maintain constant output voltage to charge the battery under low level voltage. A zeta converter is taken to maintain output voltage under various insolation. The significance of algorithm is demonstrated by MATLAB Simulation results and hardware results.
利用软计算,开发了一种最大功率点跟踪(maximum PPT)控制算法,并将其性能与基于最大PPT的增量电导技术等更传统的铅酸电池充电方法进行了比较。由于光伏(PV)电池的功率与电压的关系图是非线性的,因此合适的控制方法寻求在动态条件下获得最高功率。为了构建具有最大PPT的光伏电池,使用了一种称为软计算的模糊逻辑控制方法。电池活性能量用于对铅酸蓄电池充电。模糊逻辑将其性能与动态条件下的增量电导技术进行了比较。此外,直流-直流转换器需要保持恒定的输出电压,以便在低电平电压下对电池充电。zeta转换器用于在各种日照条件下保持输出电压。MATLAB仿真结果和硬件结果表明了该算法的重要意义。
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引用次数: 0
Integrated Model for Predicting Supply Chain Risk Through MachineLearning Algorithms 基于机器学习算法的供应链风险预测集成模型
IF 1.6 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-06-01 DOI: 10.33889/ijmems.2023.8.3.021
The machine learning model has become a critical consideration in the supply chain. Most of the companies have experienced vari-ous supply chain risks over the past three years. Earlier risk prediction has been performed by supply chain risk management. In this study, an integrated supply chain operations reference (ISCOR) model has been used to evaluate the organization's supply chain risk. Machine learning (ML) has become a hot topic in research and industry in the last few years. With this motivation, we have moved in the direction of a machine learning-based pathway to predict the supply chain risk. The great attraction of this research is that suppliers will understand the associated risk in the activity. This research includes data pre-processing, feature extraction, data transformation, and missing value replacement. The proposed integrated model involves the support vector machine (SVM), k near-est neighbor (k-NN), random forest (RF), decision tree (DT), multiple linear regression (MLR) algorithms, measured performance, and prediction of supply chain risk. Also, these algorithms have performed a comparative analysis under different aspects. Among the other algorithms, the random forest algorithm achieves an accuracy of 99% and has accomplished superior results with a maxi-mum precision of 0.99, recall of 0.99, and F-score of 0.99 with 1% error rate. The model’s prediction indicates that it can be used to find the supply chain risk. Finally, the limitation and the challenges discussed also provide an outlook for future research direction to perform effective management to mitigate the risk.
机器学习模型已成为供应链中的一个重要考虑因素。在过去三年中,大多数公司都经历了各种供应链风险。供应链风险管理已经进行了早期风险预测。在本研究中,使用综合供应链运营参考(ISCOR)模型来评估组织的供应链风险。近年来,机器学习(ML)已成为研究和工业界的热门话题。有了这一动机,我们朝着基于机器学习的途径预测供应链风险的方向发展。这项研究的最大吸引力在于,供应商将了解活动中的相关风险。该研究包括数据预处理、特征提取、数据转换和缺失值替换。所提出的集成模型包括支持向量机(SVM)、k近邻(k-NN)、随机森林(RF)、决策树(DT)、多元线性回归(MLR)算法、测量性能和供应链风险预测。此外,这些算法在不同方面进行了比较分析。在其他算法中,随机森林算法实现了99%的准确率,并取得了优异的结果,最大精度为0.99,召回率为0.99。F分数为0.99(错误率为1%)。该模型的预测结果表明,该模型可用于发现供应链风险。最后,讨论的局限性和挑战也为未来的研究方向提供了展望,以进行有效的管理来减轻风险。
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引用次数: 1
Modeling the Role of Testing Coverage in the Software Reliability Assessment 测试覆盖率在软件可靠性评估中的作用建模
IF 1.6 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-06-01 DOI: 10.33889/ijmems.2023.8.3.028
Sudeep Kumar, A. Aggarwal, Ritu Gupta
To assure the reliability and quality of the final product, testing is an essential and crucial part in the software development cycle. During this process, fault correction/detection activities are carried out to increase the reliability of the software. The non-homogeneous Poisson Process (NHPP) is the basis of the investigated software reliability growth models (SRGMs), which are based on the supposition that the number of faults found is affected by the amount of code covered during testing and that the amount of code covered during testing depends on the testing effort expended. This research takes into consideration several testing coverage functions: exponential, delayed S-shaped and logistic distributions, to propose three SRGMs that are based on testing efforts. For testing effort expenditure Weibull distribution has been employed. Two real failure datasets have been utilised to validate the proposed models, and their performance is evaluated using four goodness-of-fit metrics, including predictive ratio risk (PRR), coefficient of determination (R^2 ), predictive power (PP) and mean square error (MSE). Sensitivity analysis of cost requirement-based release time of software for exponential function has been done by using a genetic algorithm, which minimized the overall cost of the software subject to the requirement for reliability.
为了确保最终产品的可靠性和质量,测试是软件开发周期中必不可少的关键部分。在此过程中,进行故障校正/检测活动以提高软件的可靠性。非齐次泊松过程(NHPP)是所研究的软件可靠性增长模型(SRGM)的基础,该模型基于这样一种假设,即发现的故障数量受测试期间覆盖的代码数量的影响,并且测试期间涵盖的代码数量取决于所花费的测试工作量。本研究考虑了几个测试覆盖函数:指数分布、延迟S形分布和逻辑分布,提出了三个基于测试工作的SRGM。为了测试工作量,采用了威布尔分布。使用两个实际故障数据集来验证所提出的模型,并使用四个拟合优度指标来评估其性能,包括预测比率风险(PRR)、决定系数(R^2)、预测能力(PP)和均方误差(MSE)。利用遗传算法对指数函数软件基于成本需求的发布时间进行了敏感性分析,使软件的总体成本在满足可靠性要求的前提下最小化。
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引用次数: 0
Towards the Smart Sustainable and Circular Food Supply Chains Through Digital Technologies 通过数字技术实现智能、可持续和循环的食品供应链
IF 1.6 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-06-01 DOI: 10.33889/ijmems.2023.8.3.022
Erhan Ada, Muruvvet Deniz Sezer, Y. Kazançoğlu, Raneen Khaleel
Food supply chain management has become a remarkable issue due to the increasing food waste caused by globalization and population growth. It is essential to gain understanding of the drivers of circular economy in food supply chains and investigate stimulating factors in the development of circular food supply chains. Thus, this study conducted a systematic literature review from 2008 to 2020, including an analysis of 137 articles performed on data to answer specific research questions regarding circular food supply chain drivers. Drivers for transition to circular economy in food supply chains are presented in five main categories with 22 sub-drivers. This research contributes to the existing literature by presenting a novel approach to digital transformation in smart food supply chains through the integration of Industry 4.0 technologies. The findings present potential drivers of circular economy in food supply chains for digital transformation. This study also ensures operational efficiencies by digital technologies in food supply chains that can be beneficial for practitioners.
由于全球化和人口增长导致的食物浪费日益增加,食品供应链管理已经成为一个引人注目的问题。了解食品供应链中循环经济的驱动因素,研究食品循环供应链发展的激励因素至关重要。因此,本研究从2008年到2020年进行了系统的文献综述,包括对137篇文章的数据分析,以回答有关循环食品供应链驱动因素的具体研究问题。食品供应链向循环经济转型的驱动因素分为五大类,共22个子驱动因素。本研究提出了一种通过集成工业4.0技术实现智能食品供应链数字化转型的新方法,为现有文献做出了贡献。研究结果提出了食品供应链循环经济数字化转型的潜在驱动因素。这项研究还确保了食品供应链中数字技术的运营效率,这对从业者有益。
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引用次数: 1
Analysis of Barriers in Implementing Quality Management Initiatives in MSME Label Printing Firms for Sustainable Performance Improvement 中小微企业标签印刷企业实施质量管理举措以实现可持续绩效改进的障碍分析
IF 1.6 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-06-01 DOI: 10.33889/ijmems.2023.8.3.025
Quality is essential in today’s competitive market to ensure customers are happy; recent research shows that about 90% of customers think quality is just as important as price when purchasing. Total quality management (TQM) has been a boon to the economies of many countries. Different tools and methods are used in TQM to give customers the best quality. However, there are some challenges that manufacturing organizations face when implementing these tools. Much research has been done on MSME sector, so far as label manufacturers are concerned, there has yet to be any research on a national or international level. In this study, we found 66 barriers to programs to improve quality in the label printing industry. We have used fuzzy MICMAC analysis and total interpretive modeling (TISM) to make a structural model. Our research paper provides an easy-to-use methodology and critically analyses the biggest obstacles to the successful application of TQM in the flexographic printing industry. Our research identified ten issues with the implementation of TQM in this industry. The paper has identified the interdependencies of the above variables. The findings of this research will aid in future planning, particularly in E-commerce and the pharmaceutical industry, where proper label printing is crucial.
在当今竞争激烈的市场中,质量是确保客户满意的关键;最近的研究表明,大约90%的顾客在购买时认为质量和价格一样重要。全面质量管理(TQM)已成为许多国家经济发展的福音。在TQM中使用不同的工具和方法来给予客户最好的质量。然而,在实现这些工具时,制造组织面临着一些挑战。关于中小微企业的研究已经很多了,但就标签制造商而言,目前还没有国内或国际层面的研究。在这项研究中,我们发现了66个障碍项目,以提高质量的标签印刷行业。我们采用模糊MICMAC分析和全解释模型(total interpretive modeling, TISM)建立了一个结构模型。我们的研究论文提供了一种易于使用的方法,并批判性地分析了在柔版印刷行业成功应用全面质量管理的最大障碍。我们的研究确定了在这个行业实施全面质量管理的十个问题。本文已经确定了上述变量的相互依赖关系。这项研究的结果将有助于未来的规划,特别是在电子商务和制药行业,其中适当的标签印刷是至关重要的。
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引用次数: 0
A New Decomposition Linear Programming Model to Solve Zero Sum Two Person Matrix Game in Fully Fuzzy Trapezoidal Environment 全模糊梯形环境下求解零和二人矩阵对策的一种新的分解线性规划模型
IF 1.6 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-06-01 DOI: 10.33889/ijmems.2023.8.3.029
G. Sharma, Ganesh Kumar
This article targets to unriddle the problem of a non-cooperative fully fuzzified ’Zero Sum Two Person Matrix Game’ (ZSTPMG) with payoff matrix equipped with Trapezoidal fuzzy numbers (TrFNs). To achieve the target a unique and novel decomposition technique has been introduced. First, we develop two auxiliaries fully fuzzified linear programming problem (FFLPP) models for both the players and then we decompose these two FFLPP models into four linear programming (LP) models each, for both the players. These eight LP models are then solved by using the software TORA-2.0. The solutions of these eight LP models ascertain the optimal strategies and the optimal value of the fully fuzzified ZSTPMG for both the players. Our technique has an advantage over the existing ones as it can solve fully fuzzified ZSTPMG with all kind of TrFNs such as symmetric, asymmetric, positive or negative TrFNs. To establish this fact, the proposed methodology has been illustrated by taking three numericals equipped with various kinds of TrFNs.
本文旨在揭示具有梯形模糊数(TrFNs)的收益矩阵的非合作完全模糊“零和二人矩阵博弈”问题。为了实现这一目标,引入了一种独特而新颖的分解技术。首先,我们为两个参与者建立了两个辅助的完全模糊线性规划问题(FFLPP)模型,然后我们将这两个FFLPP模型分解为四个线性规划(LP)模型,分别用于两个参与者。然后利用TORA-2.0软件对这8个LP模型进行求解。这8个LP模型的解确定了两方的最优策略和全模糊ZSTPMG的最优值。与现有的方法相比,我们的方法具有一定的优势,可以解决对称、不对称、正、负TrFNs等各种TrFNs的完全模糊ZSTPMG。为了确定这一事实,所提出的方法已通过采用配备各种TrFNs的三个数字来说明。
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引用次数: 0
Design and Development of Shape Memory Alloy Actuator for Preventing and Protecting Electrical Wires 用于电线防护的形状记忆合金执行器的设计与开发
IF 1.6 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-06-01 DOI: 10.33889/ijmems.2023.8.3.024
Omar Er-Remyly, Mouna Ben Zohra, Amine Riad, A. Alhamany
Fatigue failure of wires is a frequent issue that evolves over time as a result of utilizing the profile under variable stress and temperature. In this article, an innovative study makes it possible to propose a protective tool for metal profiles against fatigue using shape memory alloys (SMA). Smart actuators like SMA are able to push back sudden stresses above the elastic limit, therefore, are characterized by high resistance to fatigue and even against corrosion due to their strong thermomechanical coupling. Besides, the study provides the results necessary to add a layer based on the shape memory tube to protect the important connectors for industrial systems and automotive industries. The conductivity of electrical current in various electronic devices depends on the copper material, which is good at conducting electricity and heat but weak against mechanical forces and hence easily susceptible to fatigue. Thereby, the elastic regime of copper is different from that of SMA, and in order to adapt the properties of two materials, a mathematical study can describe the behaviour of two combined systems is important for the analysis of the cyclic effect and for adapting the proposed actuator in wiring technology. Therefore, the study shows the great potential of the proposed SMA tube with its superelastic behaviour to increase the predicted lifespan of metallic wires against corrosion and fatigue. The lifetime of the conduction system with the protective SMA is increased remarkably and can reach up to 105cycles under the action of the stress of an amplitude of 550 MPa, the finite element simulation shows that the system of SMA combined with a 4 mm wire undergoing significant stress up to 490 MPa that can reach a deformation of 7% and return to the initial state without residual deformation. The simulation's results look at the evolution of stress, strain, fatigue lifetimes, and anticipated damage, and they match the experimental results of SMA tube properties rather well. Consequently, the verification of the proposed model confirms the improvement in the lifespan of studied wires compared to wires without SMA encapsulation.
线材的疲劳失效是一个经常发生的问题,随着时间的推移,这是在可变应力和温度下使用型材的结果。在这篇文章中,一项创新的研究使得提出一种使用形状记忆合金(SMA)的金属型材抗疲劳保护工具成为可能。像SMA这样的智能致动器能够将突然的应力推回弹性极限以上,因此,由于其强大的热机械耦合,其特征是高抗疲劳性,甚至抗腐蚀性。此外,该研究还提供了在形状记忆管的基础上添加一层以保护工业系统和汽车工业的重要连接器所需的结果。各种电子设备中电流的导电性取决于铜材料,铜材料擅长导电和导热,但对机械力的抵抗力较弱,因此容易疲劳。因此,铜的弹性状态不同于SMA的弹性状态,为了适应两种材料的性能,数学研究可以描述两个组合系统的行为,这对于分析循环效应和在布线技术中适应所提出的致动器非常重要。因此,该研究表明,所提出的SMA管具有超弹性特性,在提高金属丝抗腐蚀和疲劳的预期寿命方面具有巨大潜力。具有保护性SMA的传导系统的寿命显著增加,并且在550MPa振幅的应力作用下可以达到105次循环,有限元模拟表明,SMA与4mm线材相结合的系统承受高达490MPa的显著应力,可以达到7%的变形并在没有残余变形的情况下恢复到初始状态。模拟结果着眼于应力、应变、疲劳寿命和预期损伤的演变,与SMA管性能的实验结果相当吻合。因此,所提出的模型的验证证实,与没有SMA封装的电线相比,所研究的电线的寿命有所提高。
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引用次数: 0
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