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The production of biohydrogen from rice mill wastes, including rice bran and rice mill effluent by Clostridium acetobutylicum NCIM 2877 was investigated in a batch culture system and optimized the temperature and pH conditions. At 35 °C with initial pH of 5.2 a yield of 55.7±0.8 ml with 88.6 ± 0.3% substrate utilization and at pH 6 the production was 68.7 ± 0.9 ml with 85 ± 1.0 % substrate utilization. Addition of metal ions resulted in better yield and substrate utilization efficiency of the bacteria. FeSO₄.7H₂O at a concentration of 50 mg/l gave 79.7 ± 1.5 ml with 96% of substrate utilization. Cobalt effected the production greatly by giving 96.3 ± 0.9 ml with 95.3 ± 0.7% of substrate utilization whereas Nickel didn’t showed much effective results by giving only a maximum of 74.7 ± 1.5 ml production at 25 mg/l concentration. Conclusively, it can be stated that rice mill wastes can be used as a substrate and use of metal ions will play a key role in the enhancement of biohydrogen production.

A new approach in the field of renewable energy is- the microbial fuel cells (MFCs). It is a technique to produce bioelectricity from available organic waste. It is helpful to fulfill the lighting requirements of rural areas. The aim of our research work is to construct twocompartment system and to study various parameters like performance of the different combination of electrodes, optimization of pH and temperature. In this study, using bacteria as biocatalyst, the naturally found cow dung was used to generate an open circuit voltage of 0.84 ± 0.010 V and a current of 3.51 ± 0.620 mA. Optimization of various parameters shows that among different temperature range, 37°C temperature gives the highest voltage production of 0.84 ± 0.091 V and current of 3.08 ± 0.512 mA. In case of pH there are not any significant changes were found when pH range is changed. Although, pH 4.0 is found to be more efficient as it produces voltage of 0.90 ± 0.045 V and current of 4.85 ± 0.587 mA. Furthermore, three electrogenic bacterial strains were isolated and studied for their electrogenic properties individually and among them CDB-3 was found best in their performance.

The purpose of this paper is to visualize the prioritization among essential factors of cellular manufacturing system (CMS) implementation using the analytic hierarchy process (AHP) and analytic network process (ANP) methods.

Based on literature review, 4 enabler dimensions and 17 CM factors were identified which were validated by experts from academia and industry. Then, AHP and ANP models are proposed in evaluating CMS implementation dimensions and factors. The results are validated using sensitivity analysis.

These models give firms a straightforward and simple to utilize way to deal with CMS efficiently. The two strategies were appeared to be powerful in choosing a strategy for CMS implementation. The two strategies brought about nearly similar outcomes. Both methods consider the particular necessities of the organization through its own accessible ability.

The techniques exhibited in this paper can be utilized by a wide range of organizations for adopting CMS that have a higher impact on performance and thus overall productivity. The two techniques are explained in a step-by-step approach for easier adoption by practitioners.

The strength of the present study is that it is one of the first few to be conducted in perspective for CM implementation factors analysis.

Digital technologies emerged as innovative avenues for launching new products, advertising brands, increasing customer awareness and thus leaving a remarkable impact on the online marketplace. The present study analyzed the effects of crucial antecedents of AR interactive technology on customers' behavior toward AR-based e-commerce websites.

Convenience sampling was used to collect primary data from 357 iGen respondents aged 16–22 years; residing in New Delhi and the NCR region of India and examined using the structural equation modeling technique.

Results revealed that technology anxiety and virtuality significantly influence customers' attitudes and behavioral intentions toward AR-based e-commerce websites. However, interactivity and innovativeness remain non-significant. Additionally, non-significant moderating effects were identified for the moderators, i.e. trust and need for touch. At the same time, gender has a significant moderating effect only for the association between technology anxiety and attitude toward AR-based e-commerce websites.

The study summarizes numerous theoretical and managerial implications for AR-based website designers and policymakers, followed by the crucial limitations and directions for future research.

The present research provides a significant understanding of the e-commerce industry by providing valuable insights about young iGen consumers' perceptions of AR-based e-commerce websites.

The purpose of this study is to offer a better and more effective hexacopter design for a 3 kg payload using finite element analysis (FEA), facilitating the use of different materials for different components that too without compromising strength.

A 3D computer-aided design (CAD) model of a hexacopter with a regular hexagonal frame is presented. Furthermore, a finite element model is developed to perform a structural analysis and determine Von Mises stress and strain values along with deformations of different components of the proposed hexacopter design.

The results establish that carbon fibre outperforms acrylonitrile butadiene (ABS) with respect to deformations. Within the permissible limits of the stress and strain values, both carbon fiber and ABS are suggested for different components. Thus, a proposed hexacopter offers lighter weight, high strength and low cost.

The use of different materials for different components is suggested by making use of static structural analysis. This encourages new research work and helps in developing new applications of hexacopter, and it has never been reported in literature. The suggested materials for the components of the hexacopter will prove to be suitable considering weight, strength and cost.

The purpose of this paper to standardize the technique for the development of potato flour and to incorporate it in development of the products along with defatted soy flour and maize flour. Also, effect of processing techniques like frying and fermentation on anti‐nutritional content of the products was studied.

The ingredients as well as developed products were analyzed for the macronutrients, viz protein, ash and fat. Also anti‐nutrients like phytic acid, saponin, polyphenols and trypsin inhibitors were estimated by employing standard techniques. Data thus obtained were subjected to analysis of variance according to standard method of statistical analysis.

Potato flour being a versatile ingredient can be easily incorporated in development of various products. Frying and fermentation resulted in decrease of anti‐nutritional factors.

These developed products could be instrumental in alleviating malnutrition as they have high nutritional value and are low in anti‐nutrients.

An investor is expected to analyze the market risk while investing in equity stocks. This is because the investor has to choose a portfolio which maximizes the return with a minimum risk. The mean-variance approach by Markowitz (1952) is a dominant method of portfolio optimization, which uses variance as a risk measure. The purpose of this paper is to replace this risk measure with modified expected shortfall, defined by Jadhav et al. (2013).

Modified expected shortfall introduced by Jadhav et al. (2013) is found to be a coherent risk measure under univariate and multivariate elliptical distributions. This paper presents an approach of portfolio optimization based on mean-modified expected shortfall for the elliptical family of distributions.

It is proved that the modified expected shortfall of a portfolio can be represented in the form of expected return and standard deviation of the portfolio return and modified expected shortfall of standard elliptical distribution. The authors also establish that the optimum portfolio through mean-modified expected shortfall approach exists and is located within the efficient frontier of the mean-variance portfolio. The results have been empirically illustrated using returns from stocks listed in National Stock Exchange of India, Shanghai Stock Exchange of China, London Stock Exchange of the UK and New York Stock Exchange of the USA for the period February 2005-June 2018. The results are found to be consistent across all the four stock markets.

The mean-modified expected shortfall portfolio approach presented in this paper is new and is a natural extension of the Markowitz’s mean-variance and mean-expected shortfall portfolio optimization discussed by Deng et al. (2009).

The purpose of this paper is to investigate the status of lean manufacturing in Indian automotive sector, component manufacturing industries in terms of lean adoption, benefits, motivation, and challenges of implementing lean manufacturing practices.

The research objectives were achieved by conducting a qualitative multicase study approach. Fourteen Indian automotive component manufacturing small and medium-sized enterprises (SMEs) were chosen based on their different product offerings as well as differing approaches to the introduction and implementation of lean initiatives. Data were collected through in-depth, semistructured interviews supported by shop-floor observations.

The findings from the present study suggest that some of the participating automotive component manufacturing SMEs have a relatively good understanding of lean concepts and philosophy. However, there is room for further improvement for most SMEs. Major top five lean practices being implemented were found to be cellular manufacturing, total productive maintenance, 5S, work standardization, and quality management practices. Also, leadership and organizational culture were found to be crucial factors for the success of lean manufacturing.

The fact that the data collected for the research study is based on subjective business evidence obtained from company representatives comprises the main limitation of the present study. So, the results should be considered with caution, as far as the lean adoption in Indian automotive component manufacturing sector is concerned.

Based on the present study, suggestions can be made regarding the successful adoption of lean principles, not only for the participating SMEs but also for the whole of the automotive component manufacturing sector. More specifically, by determining the strength and weakness of automotive component manufacturing SME's effort to adopt lean, suitable managerial initiatives can be undertaken by these companies as well as the whole sector to fully adopt lean and derive the respective benefits.

This paper explores the status of lean adoption in Indian automotive component manufacturing SMEs. Considering the unique characteristics of the automotive component manufacturing industry, the present research would be helpful for making strategies to implement lean in automotive component manufacturing industry setups.

The purpose of this study is to categorize and analyse the drivers and barriers of Lean Manufacturing (LM) and subsequently, based on the structural model develop a house of lean management which will give an idea to the academicians and practitioners about the factors that are critical to implement lean practices in an organization.

A list of drivers and barriers was prepared based on the literature review and opinions from experts. Total Interpretive Structural Modelling (TISM) was utilized to build a structural hierarchy of the drivers and barriers of LM. The structural hierarchy was utilized to build the house of lean management.

Based on the hierarchy developed, the elements (drivers and barriers) of LM are classified into three groups: bottom-level, middle-level and top-level elements. To develop a house of lean management, bottom-level of elements were considered as a foundation, middle-level elements were considered as pillars and top-level elements were considered as a beam. Finally, foundation, pillars and beam of the house were used to support the roof (which is value to customers and profitability to firm).

The outcome of this research can assist researchers as well as practitioners to enhance the significant drivers and to reduce the impact of hazardous barriers for the better implementation of lean practices.

This research is a novel approach, as it visibly demonstrates both the drivers and barriers, examines the interrelationships among them in order and shows them pictorially as the house of lean management.