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The idea is to develop a condition-based maintenance (CBM) model for continuously monitored degrading systems under imperfect maintenance. The system is subjected to random shocks, inspection, corrective maintenance (CM) and preventive maintenance (PM); respective thresholds are set to make decisions.

The generalized renewal process is considered for degradation modeling, and the maximum likelihood estimation method is used for parameter estimation. Optimum replacement time is derived by minimizing downtime per unit time (DT).

Optimum replacement time is derived by minimizing DT. The paper provides insight into the virtual age model’s applicability and efficacy in CBM policy-based decision-making.

This paper assesses the CBM policy for continuously degrading systems under random shocks and imperfect maintenance. An operating system faces five events, i.e. CM, PM, inspection, random shock and sudden failure, during its lifetime. The combination and timing of these mutually exclusive events decide the degradation path in addition to the system's natural degradation (wear-out) dynamics when it is not tampered with in any way. Sequential modeling of such events for a degradation dataset will provide maintenance estimation and prediction parameters.

In general, CBM models do not consider CM to be part of the maintenance policy. It is debatable whether to include CM as part of a CBM policy. In our case, we consider CM in CBM policy formulation, assuming: (1) fail-repair: the system is restored to its operating state after failure with repair; (2) salvage: disposal of non-repairable part or material from the system, i.e. CM actions are a result of minor component-level failures. System failure is referred to as a case involving rebuild/complete system replacement. We assume CM for minor failures and acknowledge that failure can be delayed using CBM but cannot be avoided entirely. Therefore, the consideration of CM in the CBM model will make the model more generic and comprehensive.

This paper aims to develop a cost-effective, camera-less advanced driver assistance system (ADAS) for electric vehicles. It will use sensor fusion of ultrasonic and radar sensors to implement adaptive cruise control (ACC), blind spot detection (BSD) and reverse parking (RP).

The system was tested on an electric vehicle test bench, using strategically placed ultrasonic and radar sensors. Sensor fusion enabled accurate object detection and distance measurement. The system’s performance was evaluated through simulated obstacle scenarios, with responses monitored via a graphical user interface. Sensor and GPS data were transmitted to the cloud for potential vehicle-to-vehicle communication.

The sensor fusion approach effectively supported ACC, BSD and RP functions, demonstrating accuracy in obstacle detection, speed adjustment and emergency braking. The real-time system visualization confirmed reliability across various scenarios and cloud integration showed promise for future communication enhancements.

Ultrasonic and radar sensors have limited range and accuracy compared to cameras. Ultrasonic sensors are less effective at longer distances and in adverse weather conditions, whereas radar can face challenges in detecting small or stationary objects. Sensor performance can be affected by environmental factors such as rain, fog or snow, which may reduce the effectiveness of both ultrasonic and radar sensors. Sensor performance can be affected by environmental factors such as rain, fog or snow, which may reduce the effectiveness of both ultrasonic and radar sensors.

Improved obstacle detection and collision avoidance contribute to overall vehicle safety. Drivers benefit from advanced features like ACC, BSD and RP without the high cost of traditional camera-based systems. The use of ultrasonic and radar sensors makes advanced driver assistance features more affordable, allowing broader adoption across various vehicle segments, including budget-friendly and mid-range models. The system’s responsiveness and obstacle detection capabilities can lead to more efficient driving, reducing the likelihood of accidents and improving traffic flow.

Enhanced safety features such as ACC, BSD and RP contribute to reducing traffic accidents and injuries. By making advanced driver assistance features more affordable, the system improves vehicle safety for a broader range of drivers, including those in lower-income brackets. The introduction of such systems can raise public awareness about the benefits of ADAS technologies and their role in enhancing road safety.

This study introduces a novel ADAS system that eliminates the need for cameras by leveraging the strengths of radar and ultrasonic sensors. The approach offers a practical and innovative solution for enhancing vehicle safety at a reduced cost.

This study aims to investigate the information-seeking behaviours of home buyers – primarily owner-occupants – using digital real estate platforms, a key element in the industry’s shift towards digital services. It focuses on first-time buyers and repurchasers to examine how these platforms assist in the home-buying process and influence buyer behaviour in Taiwan.

A mixed methods approach was adopted, combining quantitative surveys and qualitative interviews to gather comprehensive data on user experiences and preferences.

The research identifies brand perception, search functionality and search results as critical factors influencing platform usage. Furthermore, it reveals an increasing demand for innovative artificial intelligence-driven search features to enhance user experience and platform convenience, reflecting evolving user expectations.

By addressing the specific context of Taiwan’s real estate market, this study provides novel insights into the interplay between digital platform features and user behaviour. The findings offer practical recommendations for improving platform design to better align with user needs.

Nanofluids are used in technology, engineering processes and thermal exchanges. In thermal transfer processing, these are used for the smooth transportation of heat and mass through various mechanisms. In the current investigation, we have examined multiple effects like activation energy thermal radiation, magnetic field, external heat source and especially slippery effects on a bioconvective Casson nanofluid flow through a stretching cylinder.

Several studies used non-Newtonian fluid models to study blood flow in the cardiovascular system. In our research, Lewis numbers for bioconvection and the influence of important parameters, such as Brownian diffusion and thermophoresis effects, are also considered. This system is developed as a partial differential equation for the mathematical treatment. Well-defined similarity transformations convert partial differential equation systems into ordinary differential equations. The resultant system is then numerically solved using the bvp4c built-in function of MATLAB.

After utilizing the numerical approach to the system of ordinary differential equations (ODEs), the results are generated in the form of graphs and tables. These generated results show a suitable accuracy rate compared to the previous results. The consequence of various parameters under the assumed boundary conditions on the temperature, motile microorganisms, concentration and velocity profiles are discussed in detail. The velocity profile decreases as the Magnetic and Reynolds number increases. The temperature profile exhibits increasing behavior for the Brownian motion and thermal radiation count augmentation. The concentration profile decreased on greater inputs of the Schmidt number and magnetic effect. The density of motile microorganisms decreases for the increased value of the bio-convective Lewis number.

The numerical analysis of the flow problem is addressed using graphical results and tabular data; our reported results are refined and novel based on available literature. This method is useful for addressing such fluidic flow efficiently.

Audit firms have a strong historical tradition of professionalism, but they are also commercial entities. This study aims to investigate the relationship between auditor cash compensation and office-level financial performance.

This study uses proprietary compensation expense and financial performance data from audit offices in China. Using the ordinary least squares regressions, this study tests the association between per capita compensation and office-level financial outcomes.

This study provides evidence that audit offices offering higher compensation achieve more profitable performance, as reflected in increased market share, higher return on assets and greater operating profit margins. Mechanism tests suggest that reductions in auditor turnover, driven by compensation incentives, partially account for this performance improvement. Additional tests show that the benefits of compensation incentives are particularly pronounced in audit firms licensed to conduct listed firm audits or when accompanied by staff training and technical development. Furthermore, both partner-level and staff auditor compensation significantly enhance office-level financial performance. The results might be of interest to both practitioners and regulatory bodies.

To the best of the authors’ knowledge, this study is the first to examine the relationship between auditor cash compensation and audit-office profitability. The findings highlight important policy implications for audit firms seeking to retain high-caliber auditors and maximize their economic benefits through human capital investments, including compensation, education, training and technical development.

Dual design for additive manufacturing (DfAM) takes into account both the opportunities and constraints of AM simultaneously, which research shows is more effective than considering them separately. Unlike existing reviews, this paper aims to map DfAM research within the engineering design process, focusing solely on studies adopting dual DfAM. Additionally, it aims to suggest future research directions by analysing prominent research themes and their inter-relationships. Special emphasis is on theme inter-relationships concerning the conceptual, embodiment and detail design phases.

The study is based on a systematic literature review of 148 publications from January 2000 to February 2024. After screening, prominent research themes were identified and systematically analysed. Theme inter-relationships were explored using quantitative analysis and chord diagrams.

The findings reveal that studies either span the entire design process, the early design phases or the later design phases. Most research focuses on the later design phases, particularly within themes of design optimisation, design evaluation and AM-specific manufacturing constraints. The most frequent theme inter-relationship occurs between design optimisation and AM-specific manufacturing constraints. Overall, the findings suggest future research directions to advance dual DfAM research, such as development of design rules and guidelines for cellular structures.

This review proposes a model by mapping prominent themes of dual DfAM research in relation to the engineering design process. Another original contribution lies in analysing theme inter-relationships and visualising them using chord diagrams – a novel approach that did not exist before.

Current research addresses the issue of brand loyalty while identifying its potential predictors. The research also examines the direct impact of brand credibility on brand loyalty and attitude toward brand and the direct impact of attitude toward brand and on brand loyalty respectively. Moreover, this research examines the mediating effect of attitude toward brand for the relationship of brand credibility and brand loyalty.

This is a cross-sectional research. Data is collected with the help of structured questionnaire. Simple random sampling technique is used for gathering the data from 220 Samsung users from Lahore, Pakistan.

Results indicate that brand credibility has a positive influence on attitude toward brand and brand loyalty respectively. Attitude toward brand partially intervenes the relation of brand credibility and brand loyalty.

There are some limitations of the current research. It includes only the customers of Samsung mobile. Data is collected from the customers of Lahore, Pakistan, only. This research can also be conducted among the customers of OPPO, Vivo and Apple and compare the results of current research with the results of OPPO, Vivo and Apple, which will provide the useful insights. This kind of research will also be conducted among the customers of other kinds of products like FMCGs, luxury items and even on the organizations of industrial products for generalizability. In future, customers of other cities of Pakistan like Karachi, Multan and Faisalabad may also be included for generalization.

This research provides a practical framework for the marketing department of Samsung mobiles and explains how brand credibility shape the brand loyalty through the path of attitude toward Samsung mobiles. So, Samsung mobiles can maintain current policies regarding brand credibility and attitude toward brand for attaining the better level of brand loyalty. Longitudinal research studies on these variables will also be helpful for the marketing department of Samsung for checking the level of propose relationships periodically and comparing it with previous results which will provide the true picture about propose relationships. If the value of propose relationships increases or remains at same level, then Samsung can maintain the current policies about these variables and if the value of these variables decreases, the Samsung will improve the current policies about these variables.

This research contributed in theory of reasoned action by proposing the brand credibility, attitude toward brand and brand loyalty in single model. Before this, these relations were explained separately. This research adds to the body of literature by checking the mediating effect of attitude toward brand for the relationship of brand credibility and brand loyalty.

This paper aims to present the development of a holistic campus facility management (CFM) performance assessment framework that incorporates a fuzzy logic approach and integrates a comprehensive set of key factors for successful management of campus facilities. The devised framework aims to cater to the needs of campus facilities management firms and departments for the purpose of gauging and assessing their performance across different management domains. Through this approach, facility management organizations can detect potential areas of enhancement and adopt preemptive steps to evade issues, foster progress and ensure success.

After a comprehensive analysis of the literature, conducting in-depth interviews with industry experts and employing the Delphi technique in two rounds, a total of 45 indicators critical to CFM success were identified and subsequently sorted into seven distinct groups. Through an online questionnaire, 402 subject-matter experts proficiently assessed the significance of the critical success indicators and their groups. A fuzzy logic framework was developed to evaluate and quantify a firm's compliance with the critical success indicators and groups of indicators. The framework was subsequently weighted using computations of the relative importance index (RII) based on the responses received from the questionnaire participants. The initial section of the framework involved a comprehensive analysis of the firm's performance vis-à-vis the indicators, while the latter part sought to evaluate the impact of the indicators groups on the overall firm's performance.

The utilization of fuzzy logic has uncovered the significant effects each effective CFM key indicator on indicators groups, as well as the distinct effects of each CFM indicators group on the overall performance of CFM. The results reveal that financial management, communications management, sustainability and environment management and workforce management are the most impactful indicators groups on the CFM performance. This suggests that it is imperative for management to allocate increased attention to these specific areas.

This study contributes to the advancement of current knowledge by revealing vital indicators of effective CFM and utilizing them to construct a thorough fuzzy logic framework that can assist in evaluating the effectiveness of CFM firms worldwide. This has the potential to provide crucial assistance to facility management organizations, facility managers and policymakers in their quest for informed decision-making.