Indian Manufacturing Companies Research Articles

MARKETING STRATEGIES OF APOLLO TYRES

Apollo Tyres Limited is an Indian Multinational tyre manufacturing company headquartered in Gurugram, Haryana. It was incorporated in 1972, and its first plant was commissioned in Perambra in Chalakudy, Kerala (India.) The company now has five manufacturing units in India, one in Netherlands and one in Hungary. It has a network of nearly 5,000 dealerships in India, of which over 2,500 are exclusive outlets. The company generates 69% of its revenues from India, 26% from Europe and 5% from other countries. Apollo announced its entry into the two-wheeler tyre segment with contract manufacturing in March 2016. The company's second plant in Europe, was inaugurated by the Hungarian Prime Minister, Viktor Orban. in April 2017. Shares of Apollo Tyres Ltd. rose to their highest in little over two years in February, 2021 trading at ₹253.10.

GODI India: a kickstart to innovative batteries for electric vehicle

Research methodology The case is based on the data collected from various secondary sources only. Case overview/synopsis Godi India, a lithium-ion cell manufacturing company in India, was working to design e-cell for electric vehicles (EV) which would be compatible with Indian conditions and reduce the cost of battery to the extent possible because e-cell contributes half of the electric vehicle’s price. Godi India was set up in January 2020 by Mahesh Godi. Looking for opportunities in India after having worked in the USA for 17 years, Mahesh found that even with the rise in EV the lithium-ion cell manufacturing in India was almost zero. Using innovation as its main strategy, the start-up started its operation with a team of 30 scientists. The start-up already registered 25 patents under its name with few awaiting. Most of the EV companies relied on Chinese lithium-ion cell. Local lithium-ion cell manufacturing was believed to be the key for EV industry growth in a country. Central government production linked schemes worth INR 18,100 crore were signed by major players like Ola electric, Reliance new energy and Rajesh exports to develop locally manufactured advance cells. The push from the government for locally manufacturing the cells was a major trigger for the rise in the EV industry. The case provides the analysis of the strategies applied by the company to grow in the lithium-ion cell manufacturing industry. Complexity academic level This case can be used in strategic management, entrepreneurship and general management courses/modules at the Undergraduate and Postgraduate level.

Industry 4.0 and Indian Manufacturing Companies: Barriers towards sustainability

Industry 4.0 refers to the part of key enabling technologies which includes cyber-physical systems, the internet of things, artificial intelligence big data analytics, and digital twins. Major driving forces behind automated and digital manufacturing settings include these technologies(Castelo-Branco, 2019). Emphasizing sustainability as the cornerstone of business strategy and calling for smart manufacturing, energy-efficient construction, and low-impact industrialization led to the foundation of the United Nations (UN) Sustainability 2030 agenda. Industry 4.0 technology aids in making company processes more sustainable. Few research fields have reported on this technology as it is aimed at improving business sustainability through the innovation of manufacturing processes in different industries (Bag, 2018). These applications are used in a variety of cutting-edge technology to modernize assembly lines. The Internet of Things helps machines to create, process, and transmit data in real-time to both people and other machines, robots can operate independently or in conjunction with humans, manipulate task like grabbing and spinning through its programming and design. On one hand big data and analytics deals with enormous and unstructured data using business intelligence, machine learning and analytics software using cloud computing techniques. Material can be added to solid blocks rather than mechanically removed to create high quality physical items through additive manufacturing (Godina,2020). These technologies are utilized in Industry 4.0 to create cyber physical system that are applied on the production line (Bai, 2020). It supports several sustainability related subfields; advanced manufacturing solutions may be built around the networked systems. It reduces the time to market, improves manufacturing flexibility and make better use of resources (Beier, 2020).

Analytical Research on Operational Issues of the Remanufacturing Process in India

Environmental awareness among the masses compelled many companies to adopt sustainable practices in their business operations. Remanufacturing is a well-tested and successful business model practiced in many European countries. But in many African and Asian countries, it is still nascent, including India. This research study tries to identify the critical factors in the “Operational Management” area for the viability of remanufacturing business in India. For this purpose, a questionnaire was developed based on the important factors identified from the extensive literature review. An online questionnaire survey was conducted among Indian white goods appliance manufacturing companies and their suppliers. The responses were analyzed statistically and ranked based on their criticality in initiating remanufacturing business in India. The findings may help the Indian government and manufacturing firms to frame proper strategies related to the operational management issues of remanufacturing business in India.

Effect Of Working Capital Management On The Profitability Of Selected Manufacturing Companies In India

Effect Of Working Capital Management On The Profitability Of Selected Manufacturing Companies In India

Critical Success Factors of Project Management in Indian Manufacturing Companies: A Quantitative Investigation

This quantitative investigation aims to identify the critical success factors (CSFs) of managements of projects in Indian manufacturing companies. CSF includes project planning, project control, project team management, and stakeholder management are significant within Indian manufacturing companies. There is also an availability of a measurable impact of different project management practices on project success. The conclusions of this research can help project managers in Indian manufacturing companies to understand the critical factors that affect project success and to implement appropriate project management practices to achieve success. This research can also add to the existing amount of research on project management by providing more insight into the workings of CSFs in the context of Indian manufacturing companies. The findings of this study also serve as a reference for project managers in other industries and countries to identify and prioritize CSFs in their specific contexts. Overall, this study provides valuable insights into the CSF of PM in Indian manufacturing companies, which can help organizations to enhance their project management practices and ultimately achieve project success.

Endogeneity and the Dynamics of Corporate Governance and Innovation in India’s Manufacturing Sector

This article presents the System Generalized Method of Moments (SGMM) results on the empirical association between innovation and corporate governance for a panel data set of 88 manufacturing companies in India listed on the NSE 200 Index from 2014 to 2020. GMM approach controls the potential sources of endogeneity inherent in the innovation—corporate governance relationship which mainly arises due to unobserved heterogeneity and simultaneity bias. We empirically analyze corporate governance and innovation to understand the market value of research and development practices of manufacturing companies in India. Our results indicate that Board size, Board meetings, and CEO duality support the “value creation” hypothesis of corporate governance of manufacturing companies in India. However, ownership concentration and Board meeting contradict “value creation hypotheses.” Therefore, this study identifies various factors of corporate governance that can help manufacturing companies in India in innovation and growth options. Further, this study recommends that ownership concentration and Board meetings should be properly assessed, as the concentrated owners should not merely act as expropriates, but rather should enable the long-term sustainability of the firm by taking the initiative, which enhances growth.

An In-Depth Analysis of Trend, Pattern and Progress of Mergers and Acquisitions in Indian Manufacturing Companies

An In-Depth Analysis of Trend, Pattern and Progress of Mergers and Acquisitions in Indian Manufacturing Companies

Circular supply chain implementation performance measurement framework: a comparative case analysis

Circular supply chain (CSC) has gained traction amongst academicians, practitioners, and policymakers across the world due to its wide range of sustainable benefits to business organizations. CSC amalgamates the circular economy (CE) thinking into supply chain operations of industry and improves the three sustainability dimensions of the organizational performance. However, manufacturing organizations in developing economies are finding difficult to measure the impact of CSC adoption on organizational performance. Therefore, this research aims to explore the CSC performance measures and to develop a performance measurement framework for assessing the impact of CSC implementation on business organizational performance. This research proposes a modified balanced scorecard (BSC) based hybrid framework of Pythagorean fuzzy analytic hierarchy process (PF-AHP) and Pythagorean fuzzy weighted aggregated sum product assessment (PF-WASPAS) methods. The effectiveness of the proposed framework is validated through an empirical case study of an Indian manufacturing company. Further, the proposed framework is tested with other three Indian manufacturing companies and their results are compared with the case company. The finding reveals that the overall performance of empirical case company is 62.88% based on define set of performance measures and performance of other three companies are 64.51, 56.47, and 52.43%, respectively. The outcomes of this study shows that the proposed research framework is more reliable, consistent, and robust with circular perspectives and it also offers an effective way to measure and benchmark the impact of CSC adoption on organizational performance. This research contributes to the knowledge of CSC management for achieving sustainability in the business environment.

Assessment of Drivers and Barriers of Green Manufacturing Practices in Indian Manufacturing Companies

Assessment of Drivers and Barriers of Green Manufacturing Practices in Indian Manufacturing Companies

Sustainable Reporting Index of Select Cement Manufacturing Companies in India

Sustainability reporting is a tool used by the companies to convey their performance beyond the bottom line to its stakeholders. In India sustainability reporting will be compulsory for some specific companies from the year 2022-23. This study aims at the comparison of sustainability pillars to know the sustainability disclosure practices by three selected cement manufacturing companies in India. This study also aims at calculating the sustainability reporting index of these three selected cement manufacturing companies. Scores are derived using information gathered from secondary sources and content analysis of the annual reports and sustainability reports of the selected companies. The sustainability pillars and sustainability reporting index of the three chosen organisations were found to differ.

An empirical study of Lean and Green Practices in Indian Manufacturing Companies: Drivers & Barriers

An empirical study of Lean and Green Practices in Indian Manufacturing Companies: Drivers & Barriers

Impact of working capital management on profitability of Indian manufacturing companies

Impact of working capital management on profitability of Indian manufacturing companies

Evaluation of organizational variables of quality 4.0 in digital transformation: the study of an Indian manufacturing company

PurposeThe study aims to identify organizational variables of quality 4.0 for an Indian manufacturing company in the case of digital transformation. Furthermore, the organization enhances its quality 4.0 performances to its success based on the degree of relevance of these variables, insight into these variables and sub-factors to prioritize them.Design/methodology/approachInitially, two rounds of the survey were conducted with 11 decision-makers from the company made to receive organizational variables scores and prioritize the factors and sub-factors. Analytic Hierarchy Process (AHP) based research methodology has been proposed to assign the criterion weights and prioritize the identified variables.FindingsThe results of this AHP model demonstrate that “Committed Leadership” is recognized as the top positioned variable and most significant organizational variable, followed by Collaboration and Quality culture, which are developed at the next level. These essential organizational variables with their sub-categories' priorities are identified as contributing attributes.Research limitations/implicationsThe findings facilitate quality 4.0 in the digitalization era, which take into contemplating the current state of the business. Furthermore, the understanding of variables provides insightful guidance to analyze, solve complex problems and assess the efficacy of quality 4.0 in digital transformation.Originality/valueThe novelty of this study is to pinpoint, and evaluate the responsible organizational variables and prioritize them that lead to high productivity and competitive advantage considering the AHP method.

Lean based cycle time reduction in manufacturing companies using black widow based deep belief neural network

Manufacturing companies in India are looking forward to innovative principles in order to come out with novel product designs to compete with other companies. Recently the lean principle has been focused on many companies for maximizing profit through minimizing waste. So, to track and eliminate unwanted activity, various researchers have developed several approaches based on the lean principle. When the manufacturing business tries to improve efficiency, cost base, and customer responsiveness, cycle time is one of the viable parameters that should be optimized as much as possible. This systematic study focuses on reducing cycle time in the manufacturing industry to boost productivity. However, effective tracing and elimination of waste with an improved, streamlined process are not achieved using the traditional lean approach. To solve this problem, a lean approach based on the deep learning technique is designed in this current research to minimize cycle time. Initially, the current state mapping of an organizational structure is done using Value Stream Mapping (VSM). Then, Modified Deep Belief Neural Network is used to detect excess time consumption. The modification is done by optimizing the weight parameter with the assistance of the black widow optimization algorithm. Once the excess time is detected, it is further eliminated to maximize the profit. The simulation analysis of the proposed BWDBN approach is done, and the actual value is compared with the predicted value. The analysis indicates that accuracy, precision and recall of 98%, 97% and 96.5% are reached using the proposed BWDBN. This suggested that novel product design and maximized profit can be attained using the proposed BWDBN approach.

Economic value-added (EVA) myths and realities: evidence from the Indian manufacturing sector

PurposeThe main aim of this paper is to examine the claim that economic value added (EVA) advocates its superiority over the traditional accounting-based financial performance measures, i.e. profit after tax (PAT), earnings per share (EPS), return on assets (ROA), return on equity (ROE) and return on investment (ROI) in the Indian manufacturing sector and at the same time, give empirical facts. It also tests and examines the information content of various performance measures and their relationship with stock returns.Design/methodology/approachThe paper uses the sample of 534 Indian manufacturing companies from the Bombay Stock Exchange (BSE) during the period 2000–2018. Multiple regression models are applied to examine the information content of EVA and traditional performance measures in explaining shareholders’ returns.FindingsRelative information content tests revealed that traditional accounting-based measures such as EPS, ROE and ROA performed better than EVA in explaining the returns of Indian manufacturing companies. Incremental information content of EVA adds little contribution to information content above traditional performance measures. The claim of superiority of EVA over accounting-based measures in association with shareholder returns is proved invalid in Indian manufacturing companies.Originality/valueThis study concludes that EVA has no superiority over traditional accounting-based financial performance measures in explaining stock returns of Indian manufacturing companies. To achieve heftiness in outcomes, panel data are tested by using Breusch–Pagan–Godfrey (BPG) test for heteroskedasticity, Hausman’s test for fixed and random effect, variance inflation factor (VIF) test for multicollinearity and Durbin–Watson test for autocorrelation.

Case Study of Furniture Manufacturing Companies

Purpose: This study encompasses four cases pertaining to furniture manufacturing industry in India. Manufacturing is essential for our nation and hence four companies are studied namely: Spacewood Pvt. Ltd, Choice Furntech LLP, Stanley Lifestyles Ltd, and VK Sofa Makers Pvt.Ltd. There are few similarities and associations with all four of these companies. This study also uncovers various aspects of minute details related to furniture pricing, customization, and unique selling proposition via segmentation/segments that they are operating in. The companies that are in study are basically seasoned and very strong fundamentally and operationally. Design/Methodology/Approach: Observations and interactions/interviews with employees of all the four companies along with online databases were studied for finding similarities and dissimilarities in certain key variables and bring out the best variables/ practices that could be replicated by others. Findings/ Results: This case study reviews the current situation of various customization processes through multiple variables in furniture manufacturing companies in India and the data is collected from interaction with employees, vendors, customers, company websites, scholarly literature, and internet sources for results that could have far reaching implications when compared to others abroad. Originality: It is a study to find commonality or similarity[s] among these four companies with reference to VK Sofa makers for any future entrepreneurs to have a sustainable/ implementable business model that can grow rapidly by customization and superior service quality. Type of Paper: Case Study based research analysis for knowing similarities among dissimilar companies of a same industry as well as to know the dissimilarities of similar nature companies in a given market space; hence the science and art of running these companies is the basis for this case study.

The Role of Cost Structure in Working Capital Management in theIndian Sugar Industry

This study examines the role of cost structure in working capital management for sugar manufacturing companies in India. The study uses fixed-effects panel regression models and the sample for the study included fifteen listed sugar manufacturing companies for the period 2008-18. The key results of the study were that employee expenditure has significant positive impact on the current ratio, the payables cycle, and the cash conversion cycle, and significant negative impact on the total assets turnover ratio and the fixed assets turnover ratio and that sales/administrative expenditure has significant positive impact on the total assets turnover ratio, the fixed assets turnover ratio, and the inventory turnover ratio, and significant negative impact on the inventory cycle and the cash conversion cycle. The results suggest that the cost structure variables of employee expenditure and selling/administrative expenditure may play a mediating role between firm-level variables and working capital variables, with direct and indirect effects; whereas the cost structure variables of raw materials expenditure and power/fuel expenditure may not play such a mediating role. These direct and indirect effects may be tested using structural equation methods in subsequent studies.

Sustainable performance analysis and ranking of organizations through fuzzy multi-criteria group decision making - A case study

In this paper, a decision support methodology for multiple attributes group decision making problem is developed. The proposed methodologies are based on Data Envelopment Analysis (DEA), Grey Relation analysis (GRA) and hybrid GRA-DEA methods. These methods are implemented for evaluation and ranking of organizations in sustainable perspective. In the proposed methods, the payoff values of alternatives are expressed in linguistic terms, given by the decision makers. Then, these linguistic terms are described by triangular fuzzy numbers. Charnes model of DEA is formulated in fuzzy environment to determine efficiencies of DMUs. Following the GRA method’s algorithm, a relative closeness coefficient is defined to determine the ranking order of all alternatives by calculating the distances to the fuzzy positive-ideal solution (FPIS), as well as to the fuzzy negative-ideal solution (FNIS). Also, performance evaluation of these companies is made through hybrid GRA-DEA in fuzzy environment. The weights of the criteria are determined objectively during evaluation of these companies in the proposed GRA and DEA-GRA methods. Comparison of proposed approaches is made and final ranking of the organizations is sustainable perspective is arrived. The proposed methodologies are illustrated with a case study of five steel manufacturing companies in India.

Measuring the Degree of Internationalization (DOI) of Indian Manufacturing Companies

Many Indian companies from manufacturing sectors such as industrial, consumer discretionary, and materials have forayed into international markets through exports, overseas ventures, mergers and acquisitions (M&As), joint ventures, etc. Still, there remain unanswered findings to be gained from new research to measure the degree of internationalization (DOI) of international business operations by applying an index, for the first time, to Indian manufacturing companies. Moreover, existing studies, predominantly emanating from developed economies, have explored DOI in the context of developed economies. The extant approaches are limited because explaining the phenomenon of measuring the DOI of firms from emerging economies using frameworks designed for companies in developed countries may lead to incorrect results, as they are characterized by institutional voids like poor governance, greater governmental control, and nascent institutions. This original empirical investigation researched vital phenomena pertaining to Indian manufacturing companies by addressing the gaps outlined above. Researchers can cite germane measures of DOI via the proposed index to support academics and practitioners to determine whether a specific Indian manufacturing company has recently ventured into or plans to launch into the international markets by employing a more thorough composite measure of DOI.