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In the highly competitive business landscape, manufacturing firms need to adopt an effective manufacturing strategy to attain a successful world-class manufacturing status. Over the past few decades, the lean manufacturing (LM) approach has gained recognition as one of the foremost strategies for enhancing performance. However, the implementation of LM poses significant challenges due to several barriers. The purpose of this paper is to investigate the primary barriers to lean implementation within the apparel industry.

This paper used an exploratory study approach, using a three-part structured questionnaire to assess the level of agreement on different lean barriers. The measurement of these barriers was conducted using a five-point Likert scale. Empirical data were collected from 177 apparel companies located in Bangladesh.

The findings of the research highlight that the primary obstacles to implementing LI include a lack of understanding of the lean manufacturing system (LMS), the manufacturing process, the company culture and resistance from employees.

This paper could potentially limit the generalizability of this research, as it exclusively examines a single manufacturing sector – the apparel industry.

This paper will help practitioners in finding solutions to resolve discrepancies between current manufacturing practices and the LMS.

This paper fulfills an identified need to examine the extent of lean adoption within the apparel industry of Bangladesh.

The purpose of this paper is to explore an empirical investigation of the linkage between total productive maintenance (TPM), people management (PEM) and organizational performance in the apparel industry of Bangladesh. This study also explores the direct and mediating effect of TPM on organizational performance.

Empirical data were collected using a close-ended structured questionnaire from 227 small, medium and large-scale garment manufacturing industries. The causal relationships between PEM, TPM and organizational performance were examined using structural equation modeling.

The findings of this study have provided significant evidence that the PEM has both direct and indirect impact (through TPM) on organizational performance. The results of the analysis also indicated that TPM has direct and mediating effects on operational performance.

Data for measuring PEM practices and organizational performance were collected from the same source, assuming that PEM practices are uniform across the organization. Therefore, response bias is not unexpected.

This study explores the interdimensional linkage between PEM, TPM and organizational performance and argues based on the empirical data in the context of the apparel industry in Bangladesh. The apparel industry is a complex manufacturing system synchronizing man, machine and material. The findings provide empirical evidence that employee engagement and practice of TPM will enhance the operational performance of the apparel industries.

Many research findings demonstrate the benefits of lean manufacturing implementation. However, the impact of lean manufacturing on organizational performance in developing countries like Bangladesh remains unexplored. The purpose of this paper is to investigate the impact of lean manufacturing system (LMS) on the organizational performance of the apparel industry in Bangladesh.

Empirical data were collected from 227 apparel manufacturing firms using a close-ended structured questionnaire. The causal relationships between the independent and dependent variables are examined by structural equation modeling using AMOS 20.0 software.

The results reveal significant evidence that the implementation of LMS has a direct impact on organizational performance in terms of operational and business performance.

The findings of this study will create a substantial interest among the practitioners of the apparel industry to implement LMS. This study will also explore the opportunities to develop lean implementation framework and identify the benefits that will enhance the competitive advantages.

This paper explores the causal relationships and argues based on the empirical data in the context of the apparel industry in Bangladesh.

The purpose of this paper is energy consumption and security. To extend the sensor’s life span, saving the energy in a sensor is important. In this paper, biosensors are implanted or suited on the human body, and then, transposition has been applied for biosensors for reducing the sensor distance from the sink node. After transposition path loss has been calculated, security is maintained and also compared the results with the existing strategies.

Nowadays, one of the most emergent technologies is wireless body area network (WBAN), which represents to improve the quality of life and also allow for monitoring the remote patient and other health-care applications. Traffic routing plays a main role together with the relay nodes, which is used to collect the biosensor’s information and send it towards the sink.

To calculate the distance and observe the position, Euclidean distance technique is used. Path loss is the main parameter, which is needed to reduce for making better data transmission and to make the network stability. Routing protocols can be designed, with the help of proposed values of sensors locations in the human body, which gives good stability of network and lifetime. It helps to achieve as the less deplete energy.

This scheme is compared with the two existing schemes and shows the result in terms of parameter path loss. Moreover, this paper evaluated a new method for improving the security in WBAN. The main goal of this research is to find the optimal sensor location on the body and select the biosensor positions where they can get less energy while transmitting the data to the sink node, increasing the life span in biosensors, decreasing memory space, giving security, controlling the packet complexity and buffer overflow and also fixing the damages in the existing system.

The purpose of this review is to summarize existing literature on the causes and impacts of the magnitude of the COVID-19 pandemic on people and businesses, and to propose a conceptual framework for the global economic recovery. The study used existing most recent empirical literature from available for exploring of the magnitude causes and effects of the COVID-19 pandemic on the people and business and summarized the way of the world economic system. The review study uncovered that people and businesses are suffering from vulnerability scenarios that have causes and effects on current macroeconomic and microeconomic indicators. In addition, microeconomic indicators have affected in the categories of unemployed who are soaring, lowering incomes, increasing health spending, household spending, low productivity, mental stress, decreased consumption, social imbalance, collapsing commodity prices and so on. Nevertheless, macroeconomic indicators have affected in the categories of the global financial crisis, supply and demand, capital market volatility, disruption of fiscal policy, monetary policy, aviation industry, international tourism and hospitality, world trade, and high unemployment. The present study concluded that all government and non-government agencies have to play a major and mature role not only in developing of right policies and laws but also in ensuring practices and coordination as well as increase public and business awareness accordingly. The study summarized strategic and policy guideline for the recovery of the global economy by strengthening the health care system, commodity market volatility fix-up, financial market restructuring, resumption of manufacturing and economic activity, special care for micro-, small- and medium-scale enterprises, mitigate the unemployment problem, recovery package for tourism, hospitality and aviation sector, strengthening the global supply chain network, impacts on global immigration and remittance issues and develop sustainable development framework accordingly for recovery of the world economy.

This chapter explores the determinants of satisfaction of the Islamic microcredit borrowers in Bangladesh. A total of 245, mostly educated and young, borrowers of rural development scheme, the largest Islamic microcredit institution (MCI) in the world, were included in a survey using a structured questionnaire. Factors were extracted using exploratory factor analysis. Multiple regression analysis was conducted to identify influential determinants of satisfaction of microcredit borrowers. Borrowers have identified the activities and interaction in the “center,” which includes weekly/monthly meetings, investment-related training, and group performance review, as the most vital factor influencing their overall satisfaction. Competence of the microcredit staffs and officials is the second important determinant. Trust plays the next important role in overall satisfaction of the borrowers with the Islamic microcredit institutions. Convenience, of applying for loan, getting an approval, and paying instalments, is the other influential determinant of the borrower’s satisfaction. The findings imply that given the competition and social need of the Islamic microcredit institutions globally, policymakers must ensure greater investment in human capital, in creating awareness about products and services of the Islamic microcredits, and in initiating a prudent change in the regulation so that Islamic microcredit can become a tool for sustainable socioeconomic development. Use of a proper marketing strategy can also help the MCIs to support the financial inclusion policy of the government. Satisfaction of the borrowers of the Islamic microcredit institutions is yet to arrive in Islamic marketing literature. The proposed borrower-centric model can help reduce poverty and the internal loan-shark problem through adequate engagement of relevant stakeholders.

“the purpose of this study/paper” or “this study/paper aims to” in the Purpose section of the Abstract. The integration of distributed generation (DG) to the utility grid is yet another approach to provide reliable and secured power.

The significant concern in this contemporary world are the day-to-day increasing power demand, lack of energy and increasing environmental pollution, which are threatening the existence of living things.

The research focus here is to adequacy and security in the grid-integrated hybrid distributed generation (DG) having photovoltaic (PV) and proton exchange membrane fuel cell.

PV system is a clean source of generation and suitable for many applications. Photovoltaic cell captures the energy from solar irradiation. To track the maximum power from PV, perturb and observe method is used. As it is intermittent in nature, integrating PV with fuel cell makes the hybrid source more reliable. Power electronic interfacing devices are used to integrate this hybrid DG source to microgrid. The simulation of this grid-connected hybrid DG is performed using Matlab/Simulink environment.