Synthesis of 1, 2-disubstituted benzimidazoles by reaction of N-substituted benzene-1,2-diamine with different aldehydes was developed. This greener procedure proceeds with the help of oxygen in water at 60oC. The advantages of proposed method are catalyst-free conditions in water, short reaction time and excellent yields.

The automobile industry is an obvious indication of a country's economic development. Because it requires high performance and quality parts, it is also an innovation and comprehension intensive sector. Because of its deep forward and backward links with many key segments of the economy, the automobile sector is also prominent in India. Because of the strong supply support provided by various auto ancillary manufacturing companies, this sector has a strong multiplier effect and has the potential to be a driver of economic growth. The auto ancillary market is focused on the production and sale of transitional equipment and automotive parts used in the manufacture of automobiles. It is an important part of India's automotive industry. Such industries allow vehicle manufacturers to concentrate on their core competencies. The auto ancillary manufacturing Industry, with its high growth prospects, is one of the emerging industries in Indian markets. The Altman Z rating is a beneficial expedient for identifying a company's economic resilience and the probability of insolvency. The Z rating method was once used in this to find out to check the economic fitness of Indian auto ancillary manufacturing companies. The economic facts of 10 auto ancillary manufacturing companies listed groups on the National Stock Exchange (NSE) have been used to study each unique and rising market Altman Z rating formulae. The findings point out that not all the enterprises listed on the NSE are financially healthy. According to the study, some of the Indian auto ancillary manufacturing companies are sound and dependable without few companies, and some of the auto ancillary manufacturing companies are not likely to face monetary misery or insolvency soon.

The current paper investigates a two-stage flow shop scheduling model with no idle restriction, in which the time taken by machines to set-up is separately considered from the processing time. Owing to inherent usefulness as well as relevance in real-world situations, jobs' weight has additionally included. To eliminate machine idle time and cutting machine cost of rental, the reason for the conduct of the study is to provide a heuristic algorithm which, once put into practice, processes jobs in an optimal way, guarantees in smallest conceivable make span. Multiple computational examples generated in MATLAB 2019a serve as testament to the efficacy of the proposed strategy. The outcomes are contrasted with the current methods that Johnson, Palmer and NEH have demonstrated.

Management towards control of risk issues appeared as an important area in E-supply chain for researchers in the present fast growing market. Extensive research has been accomplished in this area, but still there are several risks and uncertainties. The present research aims to identify and consolidate various e-supply risk factors for developing a constructive measurement model. The study also assesses the influence of risk factors over e-supply chain operation in Indian mechanical industries. Thus, after a thorough research and detailed discussion, 38 Risks factors are identified through literature to prepare the questionnaire. A questionnaire based survey is carried out for collecting the primary data from 148 experts of mechanical manufacturing industries located in the national capital region of India. The research methodology is combined with descriptive statistics and factor analysis. SPSS 21 software tools is used for investigating the reliability and Amos Graphics 21 software is used for the fitment validation of the theoretical construct. The results suggest that all risk issues create significant negative influence e-supply chain process. The results also show negative effects of risks over e-supply chain performance. The current research outcome develops a stochastic model based on the e-supply chain risk factors used for reducing risks in e-supply chain operation.

In the present work, a recently developed advanced optimization algorithm named as teaching–learning-based optimization (TLBO) is used for the parameters optimization of fabric finishing system of a textile industry. Fabric Finishing System has four main subsystems, arranged in hybrid configuration. For performance modeling and analysis of availability, a performance evaluating model of fabric finishing system has been developed with the help of mathematical formulation based on Markov-Birth-Death process using Probabilistic Approach. Then, the overall performance of the concerned system has first analyzed and then, optimized by using teaching–learning-based optimization (TLBO). The results of optimization using the proposed algorithm are validated by comparing with those obtained by using the genetic algorithm (GA) on the same system. Improvement in the results is obtained by the proposed algorithm. The results of effect of variation of the algorithm parameters on fitness values of the objective function are reported.

In the present scenario, the Six Sigma tools and techniques are used by various manufacturing industries, exporting industries and even service organizations. It focuses on improving the quality of the products, cutting down the extra costs, reducing the variations and satisfying the customers. This case study follows the Six Sigma tools called DMAIC methodology to identify and analyze various root causes of the capacitors rejection problems, which influence the performance of the company and suggests solutions to counter with it. The issue not only causes financial loss to the company but also hinders future growth in form of customer dissatisfaction. The results of the implementation indicate significant improvement in the quality of the product and cost reduction.

The purpose of this study is to identify the types of halal food supply risks, types of mitigation strategies for the upstream supply chain and to examine the relationship between halal supply risk and mitigation strategy efforts using the lens of the agency theory. Exploratory factor analysis (EFA) is used to validate the variables of the study and regression is performed to analyze the relationship of halal food supply risk and mitigation strategy. It is identified that halal food supply risk (agency uncertainties) consists of quality risk, delivery risk, and price/cost risk. The mitigation strategy efforts consist of behavior-based management, buffer-based management, and traceability-based management. Results indicate that halal food supply risk significantly increase mitigation strategy efforts of firms. However, price & cost risk does not significantly increase behavior-based management. Practical implications include suggesting the firms to invest more in buffer-oriented so as to mitigate the agency uncertainties.

A series of novel 10-phenylsulfonyl-2-substituted-4,10 dihydrobenzo[4,5]imidazo[1,2-a]pyrimidin-4-one derivatives obtained from N-sulfonation of 2-substituted-pyrimido[1,2-a]benzimidazol-4(10H)-ones and screened for for their in vitro anti-tuberculosis activities against Mycobacterium tuberculosis H37Rv by Microplate Alamar Blue Assay (MABA) method. The structures were established on the basis of their IR, ¹H-NMR, ¹³C-NMR, ESI-MS data and also the compound with 3f were crystallized and analysed by single crystal X-ray diffraction studies.

Two heterocyclic Schiff bases namely (E)-2-(1-(2-phenylhydrazono)ethyl)pyridine (or 2-acetyl pyridine phenyl hydrazone) (2APPH) and (E)-2-(1-triazylidineethyl)pyridine (or 2-acetyl pyridine semicarbazone) (2APSC) were synthesized, characterized and their corrosion inhibition behaviour as well as mechanism of inhibition were investigated by different techniques. Structural characterization includes NMR, Mass, IR and UV-visible spectroscopy and elemental analysis. Corrosion inhibition behaviour of aforesaid compounds on mild steel in 1M hydrochloric acid was examined by electrochemical methods including potentiodynamic polarization analysis and electrochemical impedance spectroscopic techniques. The mechanism of corrosion inhibition was explored and supplemented by adsorption and surface morphological studies. Quantum mechanical investigations on corrosion behaviour of compounds were also conducted and satisfying correlation was noticed between the results of corrosion measurement methods and quantum mechanical evaluations.

In the rapidly evolving landscape of higher education, Social media marketing (SMM) has evolved a critical factor in shaping brand perception (B.P.) and the decision-making process of prospective students in India. This paper intends to explore the intricate dynamics among Social media (S.M.), influencer marketing, and the selection of higher academic institutes (HEIs), focusing on understanding how these factors shape students' perceptions. We conducted this research on 560 students, who represented the research's population. SEM-PLS was applied to analyze the data and acquire procedures. Surveys on the Internet were used. Employing exogenous/endogenous elements to create sequences, the SEM approach examines causal associations among elements. It provides solutions to research into causation in dimensional and structural frameworks. According to the research's findings, selecting HEI is positively impacted by SMM initiatives. The aspects of SMM activities (electronic word-of-mouth (eWOM), personalization, interaction, and trendiness) affect the HEI selection. In addition, personalization and two have an impact on perceptions of the brand. Understanding and utilizing the efficacy of S.M. and influencer marketing will be crucial for HEIs looking to draw in and hold on to potential students as the higher education environment keeps evolving in the age of digitization.