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This paper aims to propose the artificial neural network (ANN) and regression models for the estimation of the thread consumption at multilayered seam assembly stitched with lock stitch 301.

In the present study, the generalized regression and neural network models are developed by considering the fabric types: woven, nonwoven and multilayer combination thereof, with basic sewing parameters: sewing thread linear density, stitch density, needle count and fabric assembly thickness. The network with feed-forward backpropagation is considered to build the ANN, and the training function trainlm of MATLAB software is used to adjust weight and basic values according to the optimization of Levenberg Marquardt. The performance of networks measured in terms of the mean squared error and the layer output is set according to the sigmoid transfer function.

The proposed ANN and regression model are able to predict the thread consumption with more accuracy for multilayered seam assembly. The predictability of thread consumption from available geometrical models, regression models and industrial empirical techniques are compared with proposed linear regression, quadratic regression and neural network models. The proposed quadratic regression model showed a good correlation with practical thread consumption value and more accuracy in prediction with an overall 4.3% error, as compared to other techniques for given multilayer substrates. Further, the developed ANN network showed good accuracy in the prediction of thread consumption.

The estimation of thread consumed while stitching is the prerequisite of the garment industry for inventory management especially with the introduction of the costly high-performance sewing thread. In practice, different types of fabrics are stitched at multilayer combinations at different locations of the stitched product. The ANN and regression models are developed for multilayered seam assembly of woven and nonwoven fabric blend composition for better prediction of thread consumption.

This study aims to comprehensively analyse the implementation and effectiveness of corporate social responsibility (CSR) policies within the context of the Indian coal mining sector. Furthermore, it investigates the alignment between CSR initiatives and the unique challenges faced by the coal mining sector and examines the outcomes and impacts of these initiatives on the employees of the sector and their perspective on the situation.

This study adopts a comprehensive qualitative research method, including a review of the literature, case studies and stakeholder interviews. This study seeks to deconstruct the application of CSR policies.

The analysis developed a deeper understanding of the complexities surrounding CSR policies in the Indian coal mining sector, offering insights into strategies for enhancing the effectiveness and relevance of these initiatives while fostering sustainable development.

This study reveals a rich tapestry of theoretical implications and how they connect to important organisational and societal paradigms. The results of this qualitative analysis can work as a foundation for creating scales to measure the level of efficiency of CSR policies implemented by different companies. Furthermore, this study goes beyond theoretical knowledge and gives companies, regulators and communities information they can use. By looking at how CSR policies work in the real world, a road map for responsible resource extraction and community growth can be made.

The findings are unique in exploring the CSR initiatives and the unique challenges faced by the coal mining sector. This study offers insight on the employees of the sector and their perspectives on the situation and delves into the multifaceted dimensions of CSR practices.

This paper aims to develop at sewing thread during the seam formation may lead to the compression of fabric under seam. In the present study, the model has been proposed to predict the seam compression and calculation of seam boldness, as well as thread consumption by considering seam compression.

The effect of sewing parameters on the fabric compression at the seam (Cf) for fabrics of varying bulk density was studied by the Taguchi method and also the multilinear regression equation is obtained to predict seam compression by considering these parameters. The framework has been set as per the single view metrology approach to measuring structural seam boldness (Bs). One of the basic geometrical models (Ghosh and Chavhan, 2014) for the prediction of thread consumption at lock stitch has been modified by considering fabric compression at the seam (Cf).

The multilinear regression model has been proposed which can predict the compression under seam using easily measurable fabric parameters and stitch density. The seam boldness is successfully calculated quantitatively using the proposed formula with a good correlation with the seam boldness rated subjectively. The thread consumption estimation from the proposed approach was found to be more accurate.

The compression under seam is found out using easily measurable parameters; fabric thickness, fabric weight and stitch density from the proposed model. The attempt has been made to calculate seam boldness quantitatively and the new approach to find out thread consumption by considering the seam compression has been proposed.

Gives a bibliographical review of the finite element methods (FEMs) applied for the linear and nonlinear, static and dynamic analyses of basic structural elements from the theoretical as well as practical points of view. The range of applications of FEMs in this area is wide and cannot be presented in a single paper; therefore aims to give the reader an encyclopaedic view on the subject. The bibliography at the end of the paper contains 2,025 references to papers, conference proceedings and theses/dissertations dealing with the analysis of beams, columns, rods, bars, cables, discs, blades, shafts, membranes, plates and shells that were published in 1992‐1995.

A wireless body area network (WBAN) plays a crucial role in the health-care domain. With the emergence of technologies like the internet of things, there is increased usage of WBAN for providing quality health services. With wearable devices and sensors associated with human body, patient’s vital signs are captured and sent to doctor. The WBAN has number of sensor nodes that are resource constrained. The communications among the nodes are very crucial as human health information is exchanged. The purpose of this paper aims to have Quality of Service (QoS) with energy aware and control overhead aware. Maximizing network lifetime is also essential for the improved quality in services. There are many existing studies on QoS communications in WBAN.

In this paper, with the aim of energy-efficient WBAN for QoS, a cross-layer routing protocol is designed and implemented. A cross-layer routing protocol that is ad hoc on-demand distance vector (AODV)-based, energy and control overhead-aware (AODV-ECOA) is designed and implemented for energy-efficient routing in WBAN. The cross-layer design that involves multiple layers of open systems interconnection reference model, which will improve energy efficiency and thus QoS.

Implementation is simulated using the network simulator tool, i.e. NS-2. The proposed cross-layer routing protocol AODV-ECOA shows least bandwidth requirement by control packets, leading to less control overhead, highest packet delivery ratio and energy efficiency. The experimental results revealed that AODV-ECOA shows better performance over existing protocols such as AODV and POLITIC.

An efficient control overhead reduction algorithm is proposed for reducing energy consumption further and improves performance of WBAN communications to realize desired QoS.

Agile manufacturing (AM) has the new scenario in the business system and it is widely seen as a “New Revolution” in the manufacturing firms. AM, which continuously focusses on the adoption of new methodologies and quickly respond to the customer expectation. For this reason, many of the research studies are focussed on the AM environment and this system is mainly followed in large sector only and most of the small- and medium-sized enterprises (SMEs) are not aware of it. Especially in the developing countries which are still lagging behind in the implementation of AM. Considering the above reason, the purpose of this paper is to assess the awareness of AM in Indian SMEs.

By means of researching many literature reviews and empirical data collected by using a self-administrated instrument distributed to the selected Indian SMEs and the awareness about the AM was investigated. The authors have selected 100 SMEs in Indian service sectors and sent the data sheets through by e-mail and also by directly visiting the company and collected the information. A total of 68 useable survey data’s were identified from the final analysis. The study data sample consists of a group of selected Indian SMEs, from different industries including the pump and foundry industries. The collected data were analyzed using the graphical representation method and by the statistical analysis.

The analysis revealed the significance and usage of AM in the Indian SMEs. The results also suggested that the Indian SMEs are well aware of the AM system, through more efforts need to be focussed on implementing this system properly and effectively to improve these standards. By the use of agile models and frameworks in small and medium sized enterprises (SMEs), would result in cost-effectiveness in their quality and services and can be continuously improving the ongoing agile practices.

Indian SMEs managers seem to be stronger familiar with the agile concepts and practices and they believe that agile environment would guaranteeing in their services and high-quality products. Therefore, SMEs should concentrate and invest in agile practices that would help them to improve their competitiveness in the global market. Further, Indian SMEs managers and practitioners would concentrate more about this maintenance of standards and with this dynamic approach it takes toward the agile environment to meet the future challenges.

The data collected and the results provided in this paper will help in understanding, the awareness about the AM environment in Indian SMEs. Also, suggest some additional improvements in the knowledge of agile to the managers and practitioners in the Indian SMEs, which could enhance the level of agile implementation.

The assessment of agile awareness in Indian SMEs, along with the concepts of understanding the AM environment, has been explained in the literature on AM in the Indian SMEs.

The environment and human health can be jeopardized if E-waste is not properly managed. Global E-waste production continued to rise as a result of rapid technological advancement and increased purchasing power among the global population. One of the possible sustainable methods for managing E-waste is to recycle E-waste. This study aims to find out which demographic factor has the most influence on local residents' understanding of E-waste recycling in Selangor. Selangor is one of Peninsular Malaysia's wealthiest states, with a wide range of ethnic and racial backgrounds among its residents. In 2019, 779 people took part in a survey to learn more about local residents' understanding of E-waste recycling and the social and demographic factors influencing that understanding. Three characteristics of a person's background stand out: their educational attainment, the nature of their job, and the amount of money they make. The p-value for each of these variables was less than.05. Respondents with the following social backgrounds have the best understanding of E-waste recycling: higher education, employment in the private sector, and a monthly income between RM1,501 and RM3,000. The government and other stakeholders, such as non-profits and the private sector, should take more comprehensive and coordinated actions to ensure that the public is informed about E-waste recycling.

In India, there are various religions and cultures. Several festivals are celebrated through the year, and a variety of specific foods are prepared for each of the festivals. The aim was to study the extent of consumption of colours during festivals.

A household survey was carried out in the urban areas of Hyderabad among individuals in the age groups 1‐5 years, 6‐18 years and >18 years from three socio‐economic groups – high, middle, and low income – from government quarters. The respondents of the study were interviewed using a food frequency questionnaire to elicit information on the intake of colours during festivals. The festivals selected for the study were Sankranthi, Diwali, Holi and Christmas.

The consumption pattern of various foods among all the subjects of the study during the four festivals indicated that a majority of the subjects (44 per cent) consumed sweetmeats. The intake of tartrazine and sunset yellow was observed to be higher during festivals due to the extensive use of these colours in sweetmeats, savouries and beverages that are most commonly available during festivals. The present investigation showed that there has been a shift in the preferences for foods during festivals (i.e. mainly sweetmeats and the type of colours consumed).

As there was an excessive consumption of yellow colours like tartrazine and sunset yellow and lesser consumption of red colours like ponceau 4R and carmoisine, the Indian government needs to take into consideration such situations when setting maximum permissible limits.

The purpose of this study is to develop jute-glass hybrid fibre reinforced polyester-based bio-composites using an indigenously developed pultrusion set-up and to present a detailed discussion on their mechanical characterization.

The work was carried out to observe the hybridization effect of natural and synthetic fibres in combination with hybrid fillers loading mainly on strength and other properties. The used hybrid fillers were a combination of 9 Wt.% of carbon black%, 6 Wt.% of eggshell ash powder and 6 Wt.% of coconut coir ash powder. A lab-based developed pultrusion set-up was used to develop these hybrid GJFRP composites of 1,500 mm length. The developed composites were tested for tensile strength, compressive strength and impact strength.

The maximum tensile, compressive and impact strength obtained are 88.37 MPa, 56.13 MPa and 731.91 J/m from 9 Wt.%, 9 Wt.% and 0 Wt.% of hybrid fillers loading, respectively. Breaking energy was found maximum as 7.31 J in hybrid glass-jute hybrid fibre reinforced plastic composites with no filler loading and it was observed that filler loading was decreasing the impact strength of developed hybrid composites. Shrinkage and its variations in the diameter of the finally developed cylindrical shape composites were observed after cooling and solidification. Scanning electron microscopy was used to observe the internal cracks, bonding of fibres and resin, voids, etc.

Development of hybrid filler based novel eco-friendly bio-composites and its experimental investigation on the impact strength, tensile strength and compressive strength has not been attempted yet.

The purpose of this work is to gain insights about Lean Six Sigma (LSS) in the Indian context by reviewing the related literature for one decade based on various perspectives, such as author profile, year of publication, type of firm, type of methodology used, type of industry for which the research work is carried out and the key findings from the research.

This study reviews the research related to LSS from the articles published in the reputed journals. The literature used for reviewing is derived from the sources, including Science direct, Google scholar, IEEE, Taylor and Francis Group, Emerald Insight, Springer, Inderscience and Elsevier during the period between 2010 and 2021. Totally, the authors have included 141 LSS-related research articles that are published in the Indian context. The keywords used are Lean Six Sigma, Lean Six Sigma in the Indian context, Lean Sigma and LSS to identify and consolidate the research papers published during this timeframe.

The research papers collected from various reputed journals, including Scopus and non- Scopus enlisted, are classified and grouped under various categories to identify the class of author who publishes more in this field, research trend over the years, the type of firm which implements LSS, the research methodology which is commonly used in LSS and related research and also the key takeaway from these articles are highlighted. Further, the authors have also identified the major contributions of researchers in various sectors during this period in India.

This classification framework and the systematic review help in identifying the research gap and in giving directions for future researchers. It will be useful for researchers and practitioners working on the area of LSS, rural and urban entrepreneurs, start-up managers, professionals working in micro, small and medium enterprises (MSMEs) and executives of the Make in India Project to make India as Aatmanirbhar Bharat Abhiyan. Further, the clear direction of progress over the current decade in manufacturing industries, service sectors and processing industries can help the professionals working in these sectors.