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The purpose of this paper is to investigate the effect of inclined magnetic field, variable viscosity and Cattaneo–Christov heat and mass flux theories on the steady MHD free convective boundary layer flow of viscous, incompressible and electrically conducting water-driven silver and titanium-oxide nanofluids over a vertical stretching sheet.

The boundary layer equations of momentum, energy and nanoparticle concentration are partial differential equations in nature, which are reduced to nonlinear ordinary differential equations by means of similarity transformations. The resulting nonlinear equations are solved analytically by means of optimal homotopy analysis method.

Assessments with numerical results are performed and are found to be in an excellent agreement. Numerical results of the skin friction factor, the local Nusselt number and the local Sherwood number are obtained through tables. The effects of various physical parameters on the velocity, temperature and nanoparticles fraction are incorporated through graphs. The study analyzes the efficiency of heat transfer of nanofluids in cooling plants and rubber sheets.

No research works have been conducted to evaluate the effects of various physical phenomena on the copper and titanium nanofluids flow.

The purpose of the current article is to explore the rotational behavior on nanofluid flow over an exponentially stretching surface. Heat and mass flux are formulated upon Cattaneo–Christov theory.

Effect of thermophoretic, Brownian motion and thermally convective conditions is further retained. Novel boundary layer approximations are applied to transform the governing equations of continuity, momentum, energy and nanoparticle volume fraction. Convergent series solutions are obtained to manage the rotating flow with the aid of homotopy analysis method (HAM).

Depending on the several dimensionless parameters including the local rotation parameter the Prandtl number Pr, the thermophoresis parameter, the Brownian motion parameter, the Lewis number Le, Biot number Bi, Deborah number in terms of heat flux relaxation parameter and Deborah number in terms of mass flux relaxation parameter with the dimensionless physical quantities are deliberated through graphs. Present results are also likened with the foregoing results in significance.

No such assumptions have been made for the development of analytical solution so far.

The purpose of this study is to analyze magnetohydrodynamic three-dimensional flow of Casson nanofluid over a stretching sheet in presence of thermophoresis and Brownian motion effects. In contrast, the convective surface boundary conditions with the effects of radiation are applied.

The governing partial differential equations are transformed into highly nonlinear coupled ordinary differential equations consisting of the momentum, energy and nanoparticle concentration via suitable similarity transformations, which are then solved the using optimal homotopy analysis method (OHAM) a Mathematica Package BVPh2.0.

The influence of emerging physical flow parameters on fluid velocity component, temperature distribution and nanoparticle concentration are discussed in detail. Also, an OHAM solution demonstrates very good correlation with those obtained in the previously published results. It is noticed that OHAM can overcome the earlier restriction, assumptions and limitation of traditional perturbation method. The main advantage of this method is that OHAM can be applied directly to nonlinear differential equations without using linearization and round-off errors, and therefore, it cannot be affected by error associated to discretization.

Here the approximate solutions are compared with the numerical results published in earlier work.

In the current global manufacturing scenario, all most all major players are now in a position to commit themselves to sustainability in all their operational initiatives and each of them follow their own methodology to attain their goal of sustainability. The purpose of this paper is to assess the sustainable manufacturing practice (SMP) in Indian manufacturing sector. This paper is also focused on the how lean practice leads to the sustainable manufacturing (SM).

A survey methodology is used for this research. The SMPs are identified for the literature review and survey questionnaire was framed. In all, 345 usable responses from four sectors namely automobile, electrical and electronics, machinery and process were collected through Google survey.

This research is focused on the SMPs. From this research it is found that sustainable product and process design (SPPD), lean practices (LP), agile practice and customization, sustainable supply operation and distribution and product recovery and return practices lead to the SM.

This study has some limitations, which future researchers could consider. The large industries of Indian manufacturing across four sectors have been considered, the study can be further taken up to the micro, small and medium enterprises of the Indian manufacturing scenario. The questionnaire can be further developed as that it can be used for a global survey across various sectors and then comparison can be made between the Indian companies and their global counterpart. In future longitudinal studies can be conducted by considering the other SMPs like mass customization, smart manufacturing practices, etc.

The present research helps the stakeholders to develop strong regulatory norms/policies to promote the SMPs in Indian manufacturing industries. This research may help production/manufacturing managers/practitioners to understand various issues related to SM and how they can be used gainfully to improve their practices and performances towards sustainable development.

This study enriches the corporate social responsibility in the organization. Corporate social responsibilities activities to be undertaken by the company shall include poverty and malnutrition, promoting health care including preventive health care and sanitation including contribution to the Swachh Bharat Kosh set-up by the Government of India for the promotion of sanitation and making available safe drinking water. This reinforces the company broader aim through its business activities to contribute to the wellbeing and sustainable development.

This study offers evidence of the implementation of SMPs namely SPPD, LP, agile practices and customization, sustainable supply operation and distribution and product recovery and return practices in Indian manufacturing organization. The authors propose a conceptual framework for SMPs and empirically tested.

The COVID-19 pandemic has had a significant and worldwide influence on healthcare delivery, and it has significantly increased the pace at which digital technology is being used. Blockchain, one of these developing digital technologies, is distinguished by a number of properties. This study focuses on a blockchain-enabled healthcare supply chain. The purpose of this work is to investigate how blockchain technology (BCT) benefits the performance of healthcare supply chain management (HSCM).

The present study is based on the empirical research. Blockchain Technology (BCT), Healthcare Sustainable Supply Chain Practices (HSSCP), Healthcare Supply Chain Performance (HSCP) and Stakeholders’ Involvement (SI) practices are identified from the literature review and hypotheses are framed to check their interrelationship. For testing of hypothesis, a questionnaire was developed. Data collection was done by healthcare professionals via Google docs. The IBM SPSS version 22.0 was used to analyze the data and IBM SPSS AMOS 22.0 software was used for the development of structural modal. The data was collected through the Google form from the stakeholders of healthcare sector and analyzed through Structural Equation Modelling.

This research is focused on adoption of BCT enabled Healthcare Sustainable Supply Chain to improve HSCP. From the result, it had been found that BCT is positively effecting the stakeholder's involvement (SI) and HSSCP practices. Cumulatively, they positively impact the performance of HSCP. From this study, it is found that adoption of BCT enabled Healthcare Sustainable Supply Chain succours to combat COVID-19 situation.

This study attempts to show the potential benefits of the adoption of BCT enabled HSSCP to improve HSCP.

Idea of circular economy defies the classical “make-use-dispose” approach of linear economic model. In the context of health-care industry, it relies heavily on the supply chain practices implemented by industry stakeholders. The purpose of this study is to explore such relationships, study their structure and put it across for attaining sustainability at large.

This study is an empirical research conducted on 145 health-care firms. The collected data is analysed to develop structural and measurement model. The five constructed hypotheses are examined and tested through structural equation modelling.

The study illustrates the latent relationships that exist among the stakeholders involvement, sustainable supply chain practices, sustainable performance and circular economy for health-care industry. It is found that the adoption of sustainable supply chain practices improves health-care performance, which, in turn, have positive influence on circular economy.

The structural and measurement model is developed in the context of circular health-care economy. It can be validated or improvised by conducting similar research in other industry using different methods. This research work fulfils the long existing gap in research by offering a linkage between various constructs to achieve health-care circular economy. Based on the research results, future researchers can build theories of circular economy and sustainability for health-care industry.

The study attempts to study the supply chain ways to achieve circular economy for Indian health-care sector. It considered latent relationships among the set of constructs, which are needed for theory building at later stage.

The performance measurement system (PMS), recognized as an important tool for rapid improvement, has found wide applications in the larger organizations and has received a lot of research attention in recent past. PMS adoption in SMEs is low even though SMEs have realized its importance and benefits and are now ready to embrace PMS as a tool for improvement. This paper proposes a novel framework, called the footprint framework, for design and implementation of PMS for SMEs. The proposed framework overcomes some of the major barriers to adoption by simplifying the process of design and implementation of PMS.

The theoretical framework was conceptualized and its basis was tested for feasibility using an industry survey. The survey was analyzed using the statistical tools available in the SPSS 24.0 statistical analysis software, and the insights obtained from this analysis were used to shape the proposed framework. The framework was populated for small and medium manufacturing organizations (SMMOs) as a case study. Analytic hierarchy process was used to synthesize the data provided by the survey to build up the proposed framework and its components.

The footprint framework is a unique framework in the respect that it consists of a set of PMS suited to different company profiles that can be accessed quickly. Any SMMO that desires to determine its future PM requirements has simply to define its probable profile of the future in terms of size, business model and order winner and check the PMS appropriate to that profile from the footprint framework. Thus the SMMO can even prepare for its futuristic PM needs.

The proposed framework overcomes some of the major barriers to adoption by simplifying the process of design and implementation of PMS. The main advantages of the footprint framework are its simplicity, ease of use, immediate implementation and a built-in knowledge bank.

This research has proposed a new PMS framework, an out of the box tool that makes it possible for the Indian SMMO to adopt PMS on an instant basis. The footprint framework combines the experience of several researchers and several practitioners to offer a ready-made starter kit that needs no other aid to implement a most appropriate PMS and leverage the industry PM best practices to build the performance measurement knowledge and expertise of the SMMO without going through a protracted learning or training process.

This research has made a novel proposal for a PMS framework by proposing the footprint framework – a PMS framework that is not only an instant, out of the box solution for the SMMOs but also incorporates the know-how to implement the performance measurement complete with information on what to measure, how to interpret and what should be done to improve.

The proposed framework is simple to understand and removes a key barrier of PMS adoption for SMMOs. The user SMMO needs to state its size, business model and order winner from the available options, build up its PMS code, select the matching PMS from the framework and the SMMO is ready to implement the PMS.

The apparel and textile sector poses a significant environmental challenge due to its substantial contribution to pollution in the form of air, water and soil pollution. To combat these issues, the adoption of sustainable practices is essential. This study aims to identify and analyse the barriers that hinder the progress of sustainability in the apparel and textile industry. By consulting experts in the field, critical barriers were identified and given special attention.

To achieve the research objective, an integrated approach involving Interpretive Structural Modelling (ISM) and fuzzy MICMAC decision-making techniques was employed. The results were further validated through the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method.

The findings highlight that barrier related to clothing disposal, inadequate adaptation to modern technology, challenges affecting sector efficiency and issues related to fashion design are crucial in influencing the remaining six barriers. Based on the outcomes of the DEMATEL method, a comprehensive cause-and-effect diagram was constructed to gain a deeper understanding of these challenges.

This research provides valuable insights for policymakers and stakeholders in the apparel and textile industry. It offers a strategic framework to address and overcome sustainability barriers, promoting the development of a more environmentally responsible and resilient sector.

The purpose of this research is to conduct an in-depth investigation of the barriers apparel and textile sectors. It is feasible that both the management team and the medical experts who provide direct patient care could benefit from this research.

The paper proposes a framework for the successful deployment of Industry 4.0 (I4.0) principles in the aerospace industry, based on identified success factors. The paper challenges the perception of I4.0 being aligned with de-skilling and personnel reduction and instead promotes a route to successful deployment centred on upskilling and retaining personnel for future role requirements.

The research methodology involved a literature review and industrial data collection via questionnaires to develop and validate the framework. The questionnaire was sent to a purposive sample of 50 respondents working in operations, and a response rate of 90% was achieved. Content analysis was used to identify patterns, themes, or biases, and the data were tabulated based on specific common attributes. The proposed framework consists of a series of gates and criteria that must be met before progressing to the next gate.

The proposed framework provides a feedback mechanism to review minimum standards for successful deployment, aligned with new developments in capability and technology, and ensures quality assessment at each gate. The paper highlights the potential benefits of I4.0 implementation in the aerospace industry, including reducing operational costs and improving competitiveness by eliminating variation in manufacturing processes. The identified success factors were used to define the framework, and the identified failure points were used to form mitigation actions or controls for inclusion in the framework.

The paper provides a framework for the successful deployment of I4.0 principles in the aerospace industry, based on identified success factors. The framework challenges the perception of I4.0 as being aligned with de-skilling and personnel reduction and instead promotes a route to successful deployment centred on upskilling and retaining personnel for future role requirements. The framework can be used as a guideline for organizations to deploy I4.0 principles successfully and improve competitiveness.

The purpose of this paper is to examine the causal linkages among supply chain practices, effectiveness of supply chain performance (SCP) and organizational performance (OP) in Indian healthcare industries.

This paper is helpful in developing a framework for linking a healthcare supply chain practice to its OP, and thus identifies how such a linkage can be connected to the effectiveness of SCP. Such effort also enables the authors to derive a set of recommended supply chain practices for SC performance.

From the literature review, this paper finds that, in the context of Indian healthcare industries, efficient SC performance may play a critical role for overall OP improvement, as there is a close interrelationship between supply chain management (SCM) practices and SCP that may have a more significant effect on OP improvement.

The principle limitation of the paper is that it is performed only in a particular industry and with a questionnaire survey which could be extended in future for other industries also. Another limitation of the paper is that it is focused only on the SCP of medical device and equipment supply chain which is a small portion of the whole healthcare supply chain, and therefore requires further research covering various other domains of healthcare supply chain. Another limitation of the study is that the sample survey has been taken from only one respondent per company at one point of time which may create biasness in the results. Thus, future research should collect data through multiple members from the organization.

This study contributes to know the effect of SCM practices on healthcare SCP and provides a practical and useful tool to evaluate the extent of effectiveness of SCP and finally their impact on the healthcare OP. Finally, this study provides conceptual and descriptive literature regarding SCM practices that leads to improvement in healthcare performance.

This study adds to the knowledge on healthcare SCM performance by exploring the relationship between supply chain practices, healthcare SCP and healthcare OP and by developing and testing a research framework thus help in improving patient satisfaction.

This study attempts to show how the potential benefits of supply chain practices can no longer be ignored in healthcare supply chain.