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Intelligent and sustainable manufacturing is a broad category of manufacturing that employs computer-integrated manufacturing, high levels of adaptability and rapid design changes, digital information technology, and more flexible technical workforce training. Other goals sometimes include fast changes in production levels based on demand, optimization of the production system, efficient production, and recyclability. This handbook provides compiled knowledge of intelligent and sustainable manufacturing within the context of Industry 4.0. along with tools, principles, and strategies. Handbook of Intelligent and Sustainable Manufacturing: Tools, Principles, and Strategies offers recent developments, future outlooks, and advanced and analytical modeling techniques of intelligent and sustainable manufacturing with examples backed up by experimental and numerical data. It bridges the gap between R&D in intelligent and sustainable manufacturing–related fields and presents case studies and solutions alongside social and green environmental impact. The handbook includes a wide range of advanced tools and applications with modeling results and explains how different internet technologies integrate the manufacturing approach with people, products, and complex systems. By encompassing advanced technologies such as digital twins, big data informatics, artificial intelligence, nature-inspired algorithms, IoT, Industry 4.0, simulation approaches, analytical strategies, quality tools, roots and pillars, diagnostic tools, and methodical strategies, this handbook provides the most up-to-date and advanced information source available. This handbook will help industries and organizations to implement intelligent manufacturing and move towards the sustainability of manufacturing practices. It will also serve as a reference for senior graduate-level courses in mechanical, production, industrial, and aerospace engineering and a value-added asset to libraries of all technical institutions.
Various Multiple Criteria Decision-Making (MCDM) techniques in one book: 13 MCDM techniques have been applied, namely, WSM, WPM, WASPAS, GRA, SMART, CRITIC, ENTROPY, EDAS, MOORA, AHP, TOPSIS, VIKOR, and new tools: MDEMATEL, Fuzzy MDEMATEL, Modified Fuzzy TOPSIS and Modified Fuzzy VIKOR. To date, no other book possesses this many tools. Various quantitative techniques: Different quantitative techniques have been applied, namely, Cronbach alpha, Chi-square and ANOVA (for demographic analysis), Percent Point Score and Central Tendency (response analysis), Factor Analysis, Correlation and Regression. To date, no other book possesses this many tools. Interpretive Structural Modelling: ISM has been applied for verifying MCDM results through MICMAC analysis and ISM model thus paving the way for model through SEM. Structural Equation Modelling: SEM using AMOS in PASW has been applied for model development. New MCDM techniques developed: In the process during qualitative analysis, new tools have been developed and their results have been compared with other existing MCDM tools and the results are encouraging. The new techniques are MDEMATEL, Fuzzy MDEMATEL, Modified Fuzzy TOPSIS and Modified Fuzzy VIKOR. Qualitative Model Developed: As the title says, Sustainable Green Development and Manufacturing Performance through Modern Production Techniques. It is a need-of-the-hour topic, as industries must maintain their performance (sustainable development) and, while sustaining, they have to keep in mind green issues (that is, environment-related issues, especially during the COVID-19 pandemic) and adopt advanced manufacturing and maintenance techniques. A model for this has been developed which will be helpful to both academicians and industrialists. Real-time Case Studies: Case studies in two industries of differing origins, different manufacturing sectors, different products, and comparing their units in the country of their origin and India. Dr. Chandan Deep Singh is an assistant professor in the Department of Mechanical Engineering, Punjabi University, Patiala, Punjab (India). He is a co-author of Adolescents, Family and Consumer Behaviour (Routledge, 2020) and of Manufacturing Competency and Strategic Success in the Automobile Industry (CRC Press, 2019). Dr. Harleen Kaur is a manager (HR) at DELBREC Industries, Pvt. Ltd., Chandigarh. She co-authored Adolescents, Family and Consumer Behaviour (Routledge, 2020).
Today, in this smart era, data analytics and artificial intelligence (AI) play an important role in predictive maintenance (PdM) within the manufacturing industry. This innovative approach aims to optimize maintenance strategies by predicting when equipment or machinery is likely to fail so that maintenance can be performed just in time to prevent costly breakdowns. This book contains up-to-date information on predictive maintenance and the latest advancements, trends, and tools required to reduce costs and save time for manufacturers and industries. Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing provides an extensive and in-depth exploration of the intersection of data analytics, artificial intelligence, and predictive maintenance in the manufacturing industry and covers fundamental concepts, advanced techniques, case studies, and practical applications. Using a multidisciplinary approach, this book recognizes that predictive maintenance in manufacturing requires collaboration among engineers, data scientists, and business professionals and includes case studies from various manufacturing sectors showcasing successful applications of predictive maintenance. The real-world examples explain the useful benefits and ROI achieved by organizations. The emphasis is on scalability, making it suitable for both small and large manufacturing operations, and readers will learn how to adapt predictive maintenance strategies to different scales and industries. This book presents resources and references to keep readers updated on the latest advancements, tools, and trends, ensuring continuous learning. Serving as a reference guide, this book focuses on the latest advancements, trends, and tools relevant to predictive maintenance and can also serve as an educational resource for students studying manufacturing, data science, or related fields.
Economic development has long been acknowledged for its beneficial effects on human well-being. In the context of economic globalization and vertical specialization, increasing the quality of export products is more critical and necessary to export success and sustainable development. The product's quality is inextricably linked to its manufacture and production, which need various types of energy and raw materials. Meanwhile, the adoption of more environmentally friendly and cleaner energy sources contributes to the achievement of sustainable production. Therefore, product quality may provide a new perspective from which to investigate the systematic relationship between greener and renewable energy sources, sustainable production and environmental regulations, as well as the nature of export competitiveness. Generally, export product quality has referred to the quality of manufactured products within the product lines. Quality refers to the relative price of a country's varieties within their respective product lines. Product sophistication assesses the composition of the aggregate exports. Different varieties of same product as per quality level are being produced by several developing and emerging economies. Within any given product line, quality converges both conditionally and unconditionally to the world's benchmark; increases in institutional quality and human capital are associated with faster quality upgrading. In turn, faster growth in quality is associated with more rapid output growth.
"Building Business Acumen towards Sustainability" is a thought-provoking and enlightening book that delves into the intersection of business acumen and sustainability. Compiled and edited by a team of renowned researchers and, this collection of research papers offers valuable insights and practical strategies for organizations aiming to navigate the challenges of the modern business landscape while prioritizing sustainability. The book begins by establishing a comprehensive understanding of business acumen, emphasizing its significance in driving strategic decision-making and achieving long-term success. It explores the various dimensions of business acumen, including financial literacy, market analysis, risk management, and innovation. By highlighting the importance of a holistic understanding of business operations, the book sets the stage for integrating sustainability into these core competencies. Central to the book's narrative is the recognition that sustainability is no longer a choice but a necessity for businesses operating in the 21st century. The research papers provide an in-depth examination of the environmental, social, and economic challenges facing organizations, elucidating the interconnectedness between these domains and their impact on long-term business viability. By presenting compelling case studies and empirical evidence, the book illustrates how organizations can effectively incorporate sustainability principles into their operations and drive positive outcomes. One of the key strengths of "Building Business Acumen Towards Sustainability" is its focus on actionable strategies. The research papers not only provide theoretical frameworks but also offer practical guidance for implementing sustainable practices within organizations of various sizes and industries. From adopting circular economy principles to enhancing supply chain sustainability, the book covers a wide array of topics and provides step-by-step approaches for integrating sustainability into existing business models. Moreover, the book emphasizes the role of leadership in fostering a culture of sustainability within organizations. It explores the qualities and competencies required of leaders to drive sustainable change, highlighting the importance of stakeholder engagement, ethical decision-making, and long-term thinking. By showcasing successful examples of sustainable leadership, the book inspires readers to embrace their role as change agents and advocates for a more sustainable future. Whether you are an academic, business professional, or sustainability enthusiast, this book offers a wealth of knowledge and inspiration to foster positive change and drive sustainable outcomes.
This dissertation approaches the question of sustainability and its influence on company performance, with special focus on the manufacturing industry. In the contemporary production environment, manufacturing operations must take into account not only profit, but also environmental and social performance, in order to ensure the long-term development of the company. Companies have to decide whether they should allocate resources to environmental and social practices in order to improve their competitive advantage. Consequently, in decision-making processes concerning operations, it is important for companies to understand how to coordinate profit, people, and planet. The objective of this dissertation was to investigate the current situation regarding manufacturers’ sustainable initiatives, and to explore the relationship between these sustainable practices and companies’ performance, including financial performance, operational performance, innovation performance, environmental performance, and social performance. First of all, a structured literature review was conducted to identify sustainable factors considered to be important in the decision making of manufacturing operations. The findings were synthesized into a conceptual model, which was then adopted as the basis for designing the survey instrument used in this dissertation. Drawing on Global Reporting Initiative (GRI) reports, empirical research was performed to explore the relationship between environmental management practices and company performance. Interestingly, the findings showed that many environmental management practices had a strong positive impact on innovation performance. Sustainability disclosures and financial performance were further analyzed using extended data from the GRI reports. The results also showed that several sustainability performance indicators, such as product responsibility, human rights, and society, displayed a significant and positive correlation with return on equity in the sample companies. In order to further explore the research area and to verify these findings, a triangulation approach was adopted and new data were collected via a survey conducted among middle and large sample companies in the Swedish manufacturing industry. The results indicated that the sustainable improvement practices had a positive impact on company performance. Some environmental and social improvement practices had a direct and positive correlation with product and process innovation. Furthermore, findings suggested that better cooperation with suppliers on environmental work could help to strengthen the organizational green capabilities of the focal companies. When considering the company’s general approach to implementing sustainable practices, some interesting findings emerged. There were limited significant differences in sustainable practices when comparing different manufacturing sectors, and different countries and regions. However, the results showed that Swedish manufacturing companies often place higher priority on implementing economic and environmental sustainability practices than on social ones. This dissertation contributes to the literature on manufacturing sustainability. The study expands the understanding of how environmental, social, or economic perspectives as a triple bottom line can influence company performance and to a certain extent the supply chain. Identifying and understanding such relationships gives companies the opportunity to integrate sustainability into their manufacturing operations strategy in order to sustain their manufacturing operations over the long term.
Zero Hunger (SDG-2) and Responsible Consumption and Production (SDG-12) of the United Nations are very crucial aspects for any economy in the world. In terms of Agricultural Sustainability and Food Security, the world should see to it that agriculture is sustainable enough to ensure food security for all its people. While nobody should be deprived of food for whatever reasons and at the same time nobody should use the agricultural resources (both inputs and outputs) in a manner harmful to the society at large. The use of any resources in terms of production and consumption, and vice versa, should take into account the carbon-footprint and greenhouse gas emissions. While the producers have a major role in the optimum use of the resources, the consumers, for whatever items, should take into account the responsible consumption practices. Since production and consumption are like two sides of a coin, complementary to each other, any change in one of the aspects will have its repercussions on the other one. So, it is a collective responsibility of everyone to ensure that things are practiced the way they are supposed to.