Search results

The purpose of the study is to analytically as well as numerically investigate the weight of throughflow on the onset of Casson nanofluid layer in a permeable matrix. This study examines both the marginal and over stable kind of convective movement in the system.

A double-phase model is used for Casson nanofluid, which integrates the impacts of thermophoresis and Brownian wave, whereas for flow in the porous matrix the altered Darcy model is occupied under the statement that nanoparticle flux is disappear on the boundaries. The resultant eigenvalue problem is resolved analytically as well as numerically with the help of Galerkin process with the Casson nanofluid Rayleigh–Darcy number as the eigenvalue.

The findings revealed that the throughflow factor postpones the arrival of convective flow and reduces the extent of convective cells, whereas the Casson factor, the Casson nanoparticle Rayleigh–Darcy number and the reformed diffusivity ratio promote convective motion and also decrease the extent of convective cells.

Controlling the convective movement in heat transfer systems that generate high heat flux is a real mechanical challenge. The proposed framework proved that the use of throughflow is one of the most important ways to control the convective movement in Casson nanofluid. To the best of the authors’ knowledge, no inspection has been established in the literature that studies the outcome of throughflow on the Casson nanofluid convective flow in a porous medium layer. However, the convective flow of Casson nanofluid finds many applications in improving heat transmission and energy efficiency in a range of thermal systems, such as the cooling of heat-generating elements in electronic devices, heat exchangers, pharmaceutical practices and hybrid-powered engines, where throughflow can play a significant role in controlling the convective motion.

This study aims to improve the reliability of emergency safety barriers by using the subjective safety analysis based on evidential reasoning theory in order to develop on a framework for optimizing the reliability of emergency safety barriers.

The emergency event tree analysis is combined with an interval type-2 fuzzy-set and analytic hierarchy process (AHP) method. In order to the quantitative data is not available, this study based on interval type2 fuzzy set theory, trapezoidal fuzzy numbers describe the expert's imprecise uncertainty about the fuzzy failure probability of emergency safety barriers related to the liquefied petroleum gas storage prevent. Fuzzy fault tree analysis and fuzzy ordered weighted average aggregation are used to address uncertainties in emergency safety barrier reliability assessment. In addition, a critical analysis and some corrective actions are suggested to identify weak points in emergency safety barriers. Therefore, a framework decisions are proposed to optimize and improve safety barrier reliability. Decision-making in this framework uses evidential reasoning theory to identify corrective actions that can optimize reliability based on subjective safety analysis.

A real case study of a liquefied petroleum gas storage in Algeria is presented to demonstrate the effectiveness of the proposed methodology. The results show that the proposed methodology provides the possibility to evaluate the values of the fuzzy failure probability of emergency safety barriers. In addition, the fuzzy failure probabilities using the fuzzy type-2 AHP method are the most reliable and accurate. As a result, the improved fault tree analysis can estimate uncertain expert opinion weights, identify and evaluate failure probability values for critical basic event. Therefore, suggestions for corrective measures to reduce the failure probability of the fire-fighting system are provided. The obtained results show that of the ten proposed corrective actions, the corrective action “use of periodic maintenance tests” prioritizes reliability, optimization and improvement of safety procedures.

This study helps to determine the safest and most reliable corrective measures to improve the reliability of safety barriers. In addition, it also helps to protect people inside and outside the company from all kinds of major industrial accidents. Among the limitations of this study is that the cost of corrective actions is not taken into account.

Our contribution is to propose an integrated approach that uses interval type-2 fuzzy sets and AHP method and emergency event tree analysis to handle uncertainty in the failure probability assessment of emergency safety barriers. In addition, the integration of fault tree analysis and fuzzy ordered averaging aggregation helps to improve the reliability of the fire-fighting system and optimize the corrective actions that can improve the safety practices in liquefied petroleum gas storage tanks.

Substantial pressure from civil society and investors has forced governments around the world to take climate neutrality initiatives. Several countries have pledged their nationally determined contributions towards net-zero. However, there exist various obstacles to achieving the same and the agriculture sector is one of them. Thus, this study identifies and models the critical barriers to achieving climate neutrality in the agriculture food supply chain (AFSC).

Sixteen barriers are identified through a literature survey and are validated by the questionnaire survey. Furthermore, the interactions amongst the barriers are estimated through the application of the “weighted influence non-linear gauge system (WINGS)” method which considers the both intensity of influence and the strength of the barrier. To mitigate these barriers, a framework based on green, resilient and inclusive development (GRID) is proposed.

The obtained results reveal that lack of collaboration amongst AFSC stakeholders, lack of information and education awareness, and lack of technical expertise obtained a higher rank (amongst the top five) in three indicators of the WINGS method and thus are the most significant barriers.

This paper is the first attempt in modelling the climate neutrality barriers for the Indian AFSC. Additionally, the mitigating strategies are prepared using the GRID framework.

The interrelationship between organizational learning (OL) and organizational culture (OC) is often assumed at an abstract theoretical level, but there is yet no systematization of scholarly knowledge allowing to conceptualize and understand its precise nature. In this article, we therefore ask “How can we, based on the insights from the dispersed research studying OC and OL, conceptualize the interrelationship between the two concepts?” Our purpose is to create an overview on the past development path and the current status of research interrelating OL and OC, to use it as basis for the conceptualization of this interrelationship and to identify avenues for future research.

This article utilized a systematic literature review methodology by combining bibliometric and content analysis using relevant articles identified from the Scopus database. A two-stage literature review research approach was employed: (1) Bibliometric analysis was used to identify 416 relevant contributions and to present a comprehensive contextual picture of the interrelations between OL and OC research by analyzing the 162 most relevant articles. (2) A subsequent qualitative content analysis of the 45 most relevant academic contributions detailed and solidified the insights.

We identify four weakly linked thematic clusters on the interrelationship of OC and OL. Based on that, our analysis confirms the theorized bidirectional relationship between OC and OL: OC acts as antecedent, driver and result of OL processes, and OL processes are constrained by and alter OC. We moreover develop three propositions that put knowledge at the center of scholarly attention for understanding this interrelationship in more depth and develop avenues for future research.

Our research has important implications for managers as it shows that mastering leadership challenges is central for the success of OL processes and OC change. We moreover specify the leadership challenges that relate to particular types of OL processes. Managers need to take this interrelationship into account when setting out for OL or OC change processes, and carefully reflect on whether or not the decided OL measures fit the given OC, and the other way round.

Our contribution to existing research is threefold: It first lies in analytically mapping out the research field, second in conceptualizing the interrelationship between OC and OL and third in identifying open research questions and topics.

The purpose of this article is to present a mathematical model for the fully developed flow of Bi-viscous Bingham nanofluid through a uniform-width anisotropic porous channel. The model incorporates a generalized Brinkman-Darcy formulation for the porous layers while considering the motion of nanoparticles influenced by both Brownian diffusion and thermophoresis effects.

The similarity transformations derived through Lie group analysis are used to reduce the system from nonlinear partial differential equations to nonlinear ordinary differential equations. The finite difference method-based numerical routine bvp4c is employed to collect and graphically present the outcomes for velocity, temperature, and nanoparticle concentration profiles. The flow pattern is analyzed through streamlined plots. Furthermore, skin friction, heat, and mass transmission rates are investigated and presented via line plots.

It is observed that in anisotropic porous media, the temperature profile is stronger than in isotropic porous media. The thermal anisotropic parameter enhances the concentration profile while reducing the temperature.

Anisotropy arises in various industrial and natural systems due to factors such as preferred orientation or asymmetric geometry of fibers or grains. Hence, this study has applications in oil extraction processes, certain fibrous and biological materials, geological formations, and dendritic zones formed during the solidification of binary alloys.

1. The permeability and thermal conductivity are not constant; instead, they have different values in the x and y directions. 2. This study considers the dependency of thermophoresis on nanoparticle volume fraction and Brownian diffusion on the temperature in both the fluid flow equations and boundary conditions. 3. A novel similarity transformation is derived using Lie group analysis instead of using an existing transformation already available in the literature.

The purpose of this paper is to propose a method for assessing the lean construction management performance (LCMP) of engineering projects using the analytic network process-fuzzy comprehensive evaluation (ANP-FCE) model.

Literature review and questionnaire surveys were used to achieve an evaluation index system for LCMP. The data needed to calculate the weights of the indices were derived from questionnaire surveys. The ANP and the Super Decisions (SD) software were used to calculate the weights of the indices and verify the validity of the weights. The FCE was adopted to carry out a comprehensive evaluation of LCMP, and the validity of the evaluation results was verified by applying the validity degree of maximum membership principle. The applicability of the method for evaluating LCMP was validated by empirical research.

The proposed method for assessing the LCMP using the ANP-FCE model is validated to be feasible. Decision makers can easily identify the strengths and weaknesses of lean construction (LC) management of the evaluated project from the evaluation results.

Some subjectivity may exist in the assessment process due to questionnaire surveys, and only one case has been studied to validate the applicability of the method. Therefore, researchers are encouraged to increase the number of LC experts and cases over the world to make the proposed method more standard.

The research is expected to propose an assessment method of LCMP for construction enterprises, provide a reference to develop assessment standards for LCMP for building associations or governments and help decision makers know the improving path of LC management.

This research contributes to the literature by summarizing the commonly used lean management tools for quality, cost, time, safety and organization in practice, and proposing a novel approach for assessing the LCMP of engineering projects. The study is useful for researchers, project managers and decision makers engaged in LC.

The purpose of this paper is to permit the system reliability analysts/managers/engineers to model, analyze and predict the behavior of industrial systems in a more realistic and consistent manner and plan suitable maintenance strategies accordingly.

Root cause analysis (RCA), failure mode effect analysis (FMEA) and fuzzy methodology (FM) have been used by the authors to build an integrated framework, to facilitate the reliability/system analysts in maintenance planning. The factors contributing to system unreliability were analyzed using RCA and FMEA. The uncertainty related to performance of system is modeled using fuzzy synthesis of information.

The in‐depth analysis of system is carried out using RCA and FMEA. The discrepancies associated with the traditional procedure of risk ranking in FMEA are modeled using decision making system based on fuzzy methodology. Further, to cope up with imprecise, uncertain and subjective information related to system performance, the system behavior is quantified by fuzzy synthesis of information.

The complementary adoption of the techniques as discussed in the study will help the maintenance engineers/managers/practitioners to plan/adapt suitable maintenance practices to improve system reliability and maintainability aspects after understanding the failure behavior of component(s) in the system.

Local organisations have been established on participatory approach whose central purpose is to establish development activities bringing about positive change as four pillars of developments: to establish decentralised robust local organisation for sustainable forest management to enhance livelihood of rural people, to meet the forest products basic needs of local people, targeted interventions for poverty alleviation and social mobilisation initiatives and biodiversity conservation climate change mitigation and adaptation.

Local organisational elites designed/conceptualised the concept, where it can be operated organisationally and in local organisational context that provides new ways and methods to develop conceptual framework (Table I), which sheds light on involvement of poor and underprivileged members in decision-making process and distribution of benefit on equity basis.

The findings will lead to a positive change through the organisational elite model through both reorganising organisations and restructuring of power with change in the society and reduce the impact of rational choices, vested interests of elites (leaders of local organisation) and political factors, which are otherwise playing a game or tragedy of commons.

Because of the limited resources and time, the authors are unable to verify it on the other development line agencies such as drinking water scheme, livestock, health and cooperative.

It considerably appears that the impacts are very sound to conclude from the review of above models of elites that provide a very clear understanding and useful conceiving lens to formulate how participation occurs in the executive committee of the community forestry user groups (CFUG) and community-based organisations based on three key elements. First are the caste and the caste structure of the community. Second is the wealth status of the individual, and third is power created both from wealth and caste. This should be determined from the local organisational elite model (Table I) about the nature of interactions on the executive of the CFUGs and other vehicles of local community-based development organisations.

Local organisations will provide an opportunity in reality to both elites and non-elites to considerably change, make aware and create a realistic situation to determine the dialectical opportunity to develop relationship, interaction and configuration between elite and non-elite members both outside and inside of the local organisations.

It has not been found in literatures yet such sort of concept developed in development field particularly in the development activities performed by participation of local users. Hence, it is certainly original conceptual framework.

Industrial and commercial organizations are socio‐technological systems: the social sub‐system is a prime factor in the achievement of growth through the introduction of technology. The efficient and effective utilization of the technological sub‐system depends on the leadership and decision making which underpins the organizational mission. The inter‐relationship between the technological and social sub‐systems is both an important part of, and directly affects, the culture of the organization. This culture changes over time ‐ in accordance with the demands of, and changing values of, society. In recent years, TQM has been a major influence on culture change in organizations ‐ such devices as quality circles, small group activities, continuous improvement projects, self‐managing teams, and total employee involvement programmes are aimed directly at raising the contribution of employees but are instrumental in the process of culture change, which is the primary focus of TQM. Discusses how an organization can bring about such change.