Efficiency Study of Indian Automobile Companies Using DEA Technique


Book Description

A developed transportation system plays a pivotal role in the development of an economy. With the advancement of transportation system, the automobile industry of India is also growing at a high speed, occupying an important place in the Indian economy. Indian auto industry is now growing at a pace of around 18% per annum and has gradually emerged as a desirable destination for global auto players like Volvo, General Motors and Ford. During this period of global recession, Indian automobile companies should operate more efficiently to grab not only the indigenous market, but also the global market. An attempt has been made in this paper to evaluate the efficiency of the automobile companies using the popular nonparametric data envelopment analysis technique. This empirical study not only throws light on the technical efficiencies of the automobile companies, but also offers a few suggestions as to how an inefficient company may become efficient by overcoming its shortcomings.




Performance of Pharmaceutical Companies in India


Book Description

This book explains how government support and institutional set up facilitated the evolution of the Indian pharmaceutical industry and provides an economic analysis of firm strategies due to recent policy changes. The book is useful for researchers interested in understanding the transition of a lifeline sector for an emerging economy like India. Students of public policy, health administrators and health economists who are interested in the functioning of the pharmaceutical sector that produces life saving drugs in developing nations will find this book useful. The book also provides good coverage on data envelopment analysis (DEA), a useful technique for understanding productivity and efficiency. It can provide guidance to the research students on the applicability of DEA technique to address various research questions for analysis. The book will be a valuable addition to libraries in colleges of pharmacy and medicine as well as to all other academic and research centers.




Analysis and Management of Productivity and Efficiency in Production Systems for Goods and Services


Book Description

In companies that produce goods and services, productivity and efficiency improvements are a constant challenge. This book reviews the differences between productivity and efficiency. It proposes a new method and makes available a computational tool for implementation that contributes to facilitating the use of Data Envelopment Analysis (DEA). The book presents a discussion about productivity and efficiency, illustrating the potentials of use and conceptual differences. It covers the concepts and techniques for analysis of productivity and efficiency, analyzing critical benefits and limitations, explains in detail how to use DEA for analysis, provides innovative methods for using DEA, offers a free online computer tool with a direction guide, shows real empirical applications, and covers other techniques that can be used to complement the analysis performed. The book is for professionals, managers, consultants, students working and taking courses in productive systems of goods and services. Ancillary materials include a free online computer tool to operationalize the concepts and methods proposed in the book, a guide on how to use the method and the software developed for the DEA application. Solutions manual, instructor’s manual, PowerPoint slides, and figure slides also will be available upon qualified adoption.




Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency


Book Description

In today's highly competitive and rapidly evolving global landscape, the quest for efficiency has become a crucial factor in determining the success of organizations across various industries. Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency is a comprehensive guide that delves into the powerful mathematical tool of DEA, is designed to assess the relative efficiency of decision-making units (DMUs), and provides valuable insights for performance improvement. This book presents a systematic overview of DEA models and techniques, from fundamental concepts to advanced methods, showcasing their practical applications through real-world examples and case studies. Catering to a broad audience, this book is designed for students, researchers, consultants, decision-makers, and enthusiasts in the field of efficiency analysis and performance measurement. Consultants and practitioners will gain practical insights for applying DEA in various contexts, and decision-makers will be equipped to make informed decisions for maximizing efficiency. Additionally, individuals with a general interest in data analysis and performance measurement will find this book accessible and informative. This book covers a wide range of topics, including mathematical foundations of DEA, DEA models and variations, DEA efficiency and productivity measures, DEA applications in various industries such as healthcare, finance, supply chain management, environmental management, education management, and public sector management.




Handbook of Research on Stock Market Investment Practices and Portfolio Management


Book Description

For the first time since the Great Depression, financial market issues threatened to derail global economic growth. This global financial crisis forced a reconsideration of systemic vulnerabilities with knowledge of numerous investment options and portfolio management strategies becoming more critical than ever before. A complete study of investment choices and portfolio management approaches in both the developing and developed worlds is required to achieve stability and sustainability. The Handbook of Research on Stock Market Investment Practices and Portfolio Management gives a thorough view on the recent developments in investment options and portfolio management strategies in global stock markets. Learning about the many investment options and portfolio management strategies available in the event of a worldwide catastrophe is critical. Covering topics such as AI-based technical analysis, marketing theory, and sharing economy, this major reference work is an excellent resource for investors, traders, economists, business leaders and executives, marketers, students and faculty of higher education, librarians, researchers, and academicians.




SIMSARC 2018


Book Description

4C’s; Communication, Commerce, Connectivity and Culture are the building blocks of an economy. How well an economy will grow or perform will depend on how strong these four pillars are. Communication leads to sharing of information among individuals. It is important for any business to have the right kind of communication channel. Commerce, provides goods and services for the society and its people. Connectivity provides the right infrastructure and system for those goods and services to reach the market. Lastly, culture helps to retain the indigenous value in those. SIMSARC 2018, organised by Symbiosis Institute of Management Studies, focussed on the aforementioned idea and invited eminent speakers from academia and industry, all over the world, to share their views on the importance of the 4Cs; Communication, Commerce, Connectivity and Culture for businesses and society. The conference had 4 sub-themes viz. Communication, Commerce, Connectivity and Culture which were the plenary sessions for the conference. The highlight of the “communication: Role of AI, Big Data and IoT in Business” track was the papers which were from broad range of Internet of things (IoT), big data, role of technology, Artificial Intelligence among other aspects of communication. The panel speakers gave insight as to how communication is important for business not only for across boundaries but within a country as well. Another session was on “Culture: An indigenous way” where speakers deliberated on the cultures prevailing in different organisations, countries and societies. From a ‘we together’ attitude in some country to a ‘me first’ attitude in the other, cultural similarities and dissimilarities across nations were discussed in this track. The session witnessed some relevant questions from the audience on issues of language barriers and its effect on businesses. Language and cultural barriers are something which are inevitable but one needs to be adoptive and should learn languages to mitigate these barriers. “Connectivity: Backbone for development” was another plenary discussion where increase in connectivity through various social media platforms such as Facebook, Twitter, WhatsApp was discussed and deliberated where the focus was whether human beings are still emotionally connected or not. The critical role of technology was emphasized along with importance of human to human interaction. No matter how much technology comes in play, human connections will never die as this was concluded by speakers as Technolgoy may not be able to take away the emotional connect. Another track, “Commerce: Fuel for economy” where the panellist spoke about growth, price discrimination, financial markets, inequality etc. Investor’s education is one of the most important aspect to take the investors to level where they understand financial market and this will help in investment activity in the market. Sustainability was another concern highlighted by the speakers and they pointed that policies should work towards attaining sustainability in the market and try to bridge the gap between skills and jobs available in the country. Researchers from all over the country, belonging to academic institutes and industry, presented their research ideas on the 4C’s. These research works ranged from digital transformation, IOT, team dynamics and organisation culture to infrastructural issues, e-commerce, banking and corporate governance, the research works presented covered a plethora of policy issues where each one of them is the need of the hour. The deliberations from renowned academicians who came from different parts of the world along with top industrialist, bureaucrats, entrepreneurs, NGOs immensely contributed to the existing bodies of work. They emphasized on the importance of right policies to promote communication, connectivity, facilitating commerce and preserving culture among societies. Overall, the conference witnessed a brainstorming session with scholars and experts and it surely did pave the way for future research.




Impact Assessment of SCM Practices on the Operational Performance in Indian Automobile Industry. A Study


Book Description

Doctoral Thesis / Dissertation from the year 2020 in the subject Business economics - Business Management, Corporate Governance, grade: 75.00, , course: Doctor of Philosophy, language: English, abstract: In this research, SCM practices in automobile industry in India were a descriptive cum analytical research. It needs an understandable specification of who (automobile companies in India), what (SCM practices – SRM, CRM, LM and ICT), when (until year 2019), why (found gaps) and way (survey- questionnaire, F2F Interview, through email) of the research. The figure-50 has shown the brief research design of the study. During the literature review, it was found that Indian automobile companies were not able to minimize their supply chain cost effectively & efficiently and there were gaps in expectations (agreement) and perception (adoption) level of SCM practice. To understand and analyses these gaps, this research was carried out. Indian automotive industry (Both automobile & components) contributes almost 7.5% of total GDP and one of the biggest job creator sectors directly or indirectly. India is gradually taking the lead and growing its global competition. India is lagging behind in terms of commercial vehicle production if we compare it globally, therefore, it needs more focus, collaborations and investment to catch up the market share at global space. SCM contributes to overall value creation for any organization including automobile and hence firms are focusing on strengthening their supply chains more efficient and competitive. Current supply chains are facing multiple disruptions like Covid-19 pandemic, technological disruptions like 3D Printing, IoT, AI/machine learning, internet things such as movable machine (robots) for warehouse operation, etc. and challenges such as visibility, cost reduction, innovation, supplier relationship, customer relationship, risk management, security & safety in logistics, ICT infrastructure, and customer expectations.




Handbook of Machine Learning for Computational Optimization


Book Description

Technology is moving at an exponential pace in this era of computational intelligence. Machine learning has emerged as one of the most promising tools used to challenge and think beyond current limitations. This handbook will provide readers with a leading edge to improving their products and processes through optimal and smarter machine learning techniques. This handbook focuses on new machine learning developments that can lead to newly developed applications. It uses a predictive and futuristic approach, which makes machine learning a promising tool for processes and sustainable solutions. It also promotes newer algorithms that are more efficient and reliable for new dimensions in discovering other applications, and then goes on to discuss the potential in making better use of machines in order to ensure optimal prediction, execution, and decision-making. Individuals looking for machine learning-based knowledge will find interest in this handbook. The readership ranges from undergraduate students of engineering and allied courses to researchers, professionals, and application designers.




Optimization Using Evolutionary Algorithms and Metaheuristics


Book Description

Metaheuristic optimization is a higher-level procedure or heuristic designed to find, generate, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem, especially with incomplete or imperfect information or limited computation capacity. This is usually applied when two or more objectives are to be optimized simultaneously. This book is presented with two major objectives. Firstly, it features chapters by eminent researchers in the field providing the readers about the current status of the subject. Secondly, algorithm-based optimization or advanced optimization techniques, which are applied to mostly non-engineering problems, are applied to engineering problems. This book will also serve as an aid to both research and industry. Usage of these methodologies would enable the improvement in engineering and manufacturing technology and support an organization in this era of low product life cycle. Features: Covers the application of recent and new algorithms Focuses on the development aspects such as including surrogate modeling, parallelization, game theory, and hybridization Presents the advances of engineering applications for both single-objective and multi-objective optimization problems Offers recent developments from a variety of engineering fields Discusses Optimization using Evolutionary Algorithms and Metaheuristics applications in engineering




Industrial Engineering and Operations Management


Book Description

This proceedings volume convenes peer-reviewed, selected papers presented at the XXVIII International Joint Conference on Industrial Engineering and Operations Management (IJCIEOM) that was held in Mexico City, Mexico, July 17-20, 2022, with a special focus on applications of industrial engineering and operations management for research and practice. Fields covered include operations, manufacturing, industrial and production engineering and management, emphasizing optimization models and data science applications to real-world problems. In this book, the reader will find works on topics as optimization models; stochastic optimization; digital transformation in the supply chain; data science applications in operations management; Industry 4.0: manufacturing planning & control; blockchain; intelligent transportation systems; sustainable and reverse logistics; big data and demand planning; predictive and prescriptive analytics; last-mile delivery optimization; stochastic inventory models; new trends in information technology for operation management; stochastic optimization; optimization models for omnichannel; safety in operation management; and more. This volume includes relevant information for academics, since most of the chapters focus on real-world case studies and systematic reviews, but also for professionals in the industrial sector as it presents solutions to complex industrial challenges. Previous 2018, 2019, 2020, and 2021 IJCIEOM proceedings can also be found in Springer's catalog.