Every country with a well-developed transportation network has a well-developed economy. The automobile industry is a critical engine of the nation's economic development. The automobile industry has significant backward and forward links with every area of the economy, as well as a strong and progressive multiplier impact. The automotive industry and the auto component industry are both included in the vehicle industry. It includes passenger waggons, light, medium, and heavy commercial vehicles, as well as multi-utility vehicles such as jeeps, three-wheelers, military vehicles, motorcycles, tractors, and auto-components such as engine parts, batteries, drive transmission parts, electrical, suspension and chassis parts, and body and other parts. In the last several years, India's automobile sector has seen incredible growth in sales, production, innovation, and exports. India's car industry has emerged as one of the best in the world, and the auto-ancillary sector is poised to assist the vehicle sector's expansion. Vehicle manufacturers and auto-parts manufacturers account for a significant component of global motorised manufacturing. Vehicle manufacturers from across the world are keeping a close eye on the Indian auto sector in order to assess future demand and establish India as a global manufacturing base. The current research focuses on three automotive behemoths: TATA Motors, MRF, and Mahindra & Mahindra.

Is it the appearance? The brand name? Performance? Or is it something much deeper? In this book, Dr. Babar Zamaan identifies the factors that influence prospective premium car buyers. A must read for marketing students,and professionals in the automobile industry.

Advances in Mathematics for Industry 4.0 examines key tools, techniques, strategies, and methods in engineering applications. By covering the latest knowledge in technology for engineering design and manufacture, chapters provide systematic and comprehensive coverage of key drivers in rapid economic development. Written by leading industry experts, chapter authors explore managing big data in processing information and helping in decision-making, including mathematical and optimization techniques for dealing with large amounts of data in short periods. Focuses on recent research in mathematics applications for Industry 4.0 Provides insights on international and transnational scales Identifies mathematics knowledge gaps for Industry 4.0 Describes fruitful areas for further research in industrial mathematics, including forthcoming international studies and research

This book discusses an emerging field of decision science that focuses on business processes and systems used to extract knowledge from large volumes of data to provide significant insights for crucial decisions in critical situations. It presents studies employing computing techniques like machine learning, which explore decision-making for cross-platforms that contain heterogeneous data associated with complex assets, leadership, and team coordination. It also reveals the advantages of using decision sciences with management-oriented problems. The book includes a selection of the best papers presented at the 2nd International Conference on Decision Science and Management (ICDSM 2019), held at Hunan International Economics University, China, on 20–21 September 2019.

The significant policy shift which the economy of India had undergone during the 1990s commonly known as LPG or Liberalization, Privatization and Globalization had influenced the overall economic growth of the country. The primary objective of this model was to make the economy of India the fastest developing economy in the global market with capabilities that help it match with the biggest economies of the world. The chain of reforms and changes that took place with regards to business, manufacturing and financial services industry resulted in lifting the economy of the country to a more proficient level. One of the major contributors to this growth was the automobile manufacturing sector. The LPG policy was designed to make the Indian economy, progressive, market oriented and integrate with the emerging global economy. This lead to advanced technology and precise research and development activity which helped the Indian automobile industry to make significant growth in the last decades. After LPG began a number of foreign firms commenced joint ventures with existing Indian automobile companies and enhanced the variety of options of automobiles available to the consumers. One of the major aspects which lead to this growth proficiency and profitability is the "working capital". Fixed and working capital is necessary financial requirements of any industry to run through their relative share and the importance varies according to the nature of the industry. Implementing effective working capital helps to improve the earnings of the firm. Ratio analysis and management of individual components of working capital are the two main aspects of working capital management. Working capital management involves the relationship between short-term assets and short-term liabilities of the firm. The goal of working capital management is to ensure that the firm is able to continue its operations and that it has sufficient ability to satisfy maturing short-term debt. The working capital management involves the managing of inventories, accounts receivable and payable and cash. Considering the role and importance of working capital in the success of the companies, this project aims to study the relation between working capital and profitability of automobile industry in India.