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In a competitive business environment, sustainable supply chain management (SSCM) has received a growing interest in both academic and corporate interest. Increasingly, companies are identifying sustainability as an opportunity to overcome environmental issue while simultaneously responding to economic, operational and social factors to achieve SSCM performance. This research aims to analyze the importance of SSCM in the coal industry in Indonesia. The purpose of this study is to investigate key factors that are most influencing Indonesian coal companies to conduct SSCM in their business activities. A questionnaire was carried out among coal industry supply chain companies in Indonesia based on three dimensions including (1) factors of SSCM adoption, (2) implementation of green supply chain, and (3) SSCM performance measurement and their 12 criteria. A novel multi-criterion decision making method, DEMATEL-based analytic network process (DANP), is applied to handle the importance analysis of sophisticated interdependences among multiple criteria. Both practitioners in companies and academia might find this paper useful as it provides major insights for business investors who consider implementing SSCM in Southeast Asian country like Indonesia.
Mining operations are booming as a result of rising mineral demand, and mining companies have grown their operations to great financial success. The need for sustainable management in the mining industry has never been more important. This new book provides an overview of sustainable supply chain management through computational and multicriteria decision-making analyses. It explores sustainability and sustainable supply chain management in the context of transportation and electricity generation. Soft computing methods, such as fuzzy AHp and QFD, to identify the major difficulties for mines are discussed as are the detrimental effects of mines and how sustainability management can be forecast by taking into account current supply chain patterns in the mining sector. The most significant difficulties in the mining sector, such as waste management and supplier selection criteria, are covered as well, taking into account specific analytical indicators to discover the most socially and ecologically responsible solutions. The authors evaluate the security risks in the mining business and offer solutions. The final section offers current and potential future sustainable supply chain management solutions. This comprehensive work on the sustainability of supply chain in mining not only covers decision making and management but also explores barriers to the mining industry. It demonstrates how to analyze data by computational methods for sustainable management and offers an enhanced understanding of supply chain management concepts and challenges.
Mining operations are booming as a result of rising mineral demand, and mining companies have grown their operations to great financial success. The need for sustainable management in the mining industry has never been more important. This new book provides an overview of sustainable supply chain management through computational and multicriteria decision-making analyses. It explores sustainability and sustainable supply chain management in the context of transportation and electricity generation. Soft computing methods, such as fuzzy AHp and QFD, to identify the major difficulties for mines are discussed as are the detrimental effects of mines and how sustainability management can be forecast by taking into account current supply chain patterns in the mining sector. The most significant difficulties in the mining sector, such as waste management and supplier selection criteria, are covered as well, taking into account specific analytical indicators to discover the most socially and ecologically responsible solutions. The authors evaluate the security risks in the mining business and offer solutions. The final section offers current and potential future sustainable supply chain management solutions. This comprehensive work on the sustainability of supply chain in mining not only covers decision making and management but also explores barriers to the mining industry. It demonstrates how to analyze data by computational methods for sustainable management and offers an enhanced understanding of supply chain management concepts and challenges.
This book includes the proceedings of the Intelligent and Fuzzy Techniques INFUS 2019 Conference, held in Istanbul, Turkey, on July 23–25, 2019. Big data analytics refers to the strategy of analyzing large volumes of data, or big data, gathered from a wide variety of sources, including social networks, videos, digital images, sensors, and sales transaction records. Big data analytics allows data scientists and various other users to evaluate large volumes of transaction data and other data sources that traditional business systems would be unable to tackle. Data-driven and knowledge-driven approaches and techniques have been widely used in intelligent decision-making, and they are increasingly attracting attention due to their importance and effectiveness in addressing uncertainty and incompleteness. INFUS 2019 focused on intelligent and fuzzy systems with applications in big data analytics and decision-making, providing an international forum that brought together those actively involved in areas of interest to data science and knowledge engineering. These proceeding feature about 150 peer-reviewed papers from countries such as China, Iran, Turkey, Malaysia, India, USA, Spain, France, Poland, Mexico, Bulgaria, Algeria, Pakistan, Australia, Lebanon, and Czech Republic.
All organizations need to have an efficient and effective supply chain. The interconnected, interrelated and interlinked networks in today’s global business have pushed organizations to put greater emphasis on the supply chain to gain higher positive impact on their business bottom line. On the other hand, supply chain may also result in negative impact to the world due to the irresponsible business organizations. Despite the financial gain of the business, the environment and the society have to pay for the price of irresponsible actions of these organizations. As a result, the concept of Green Supply Chain has emerged to be as a solution to various societal and environmental problems. The aim is to achieve more sustainable development in doing a business. Sustainable Development Goal (SDG) is the key and the climate change is the central issue to address today. This book discusses the importance of green supply chain to organizations and offers various suggestions to be green to the environment and society. The content is divided into 3 main parts: (1) Overview of the green supply chain management, (2) Green Strategy and Operations, and (3) Green Cycle. It is hoped that the book be useful to all particularly to organizations as well as researchers in practicing and researching on a supply chain agenda. Ultimate aim is for us to be responsive and responsible in providing product and services to our customer, society and environment.
There has been an increased interest in social and environmental issues in recent years as more consideration is given to the idea of sustainability and social accounting. Social accounting can be considered a straightforward manifestation of corporate enforcement to legitimize, explain, and justify the organization’s activities or an ethically desirable component of any well-functioning democracy. Social accounting can also include environmental accounting, which is focused on environmental issues. Additional study is required to better understand the relevancy of social and environmental accounting in today’s modern business world. Modern Regulations and Practices for Social and Environmental Accounting discusses social and environmental accounting and considers regulations, norms, organizational practices, and the challenges of education. Covering a range of topics such as non-financial reporting and corporate social responsibility, this reference work is ideal for industry professionals, researchers, academicians, managers, practitioners, instructors, and students.
This book paves the way for researchers working on the sustainable interdependent networks spread over the fields of computer science, electrical engineering, and smart infrastructures. It provides the readers with a comprehensive insight to understand an in-depth big picture of smart cities as a thorough example of interdependent large-scale networks in both theory and application aspects. The contributors specify the importance and position of the interdependent networks in the context of developing the sustainable smart cities and provide a comprehensive investigation of recently developed optimization methods for large-scale networks. There has been an emerging concern regarding the optimal operation of power and transportation networks. In the second volume of Sustainable Interdependent Networks book, we focus on the interdependencies of these two networks, optimization methods to deal with the computational complexity of them, and their role in future smart cities. We further investigate other networks, such as communication networks, that indirectly affect the operation of power and transportation networks. Our reliance on these networks as global platforms for sustainable development has led to the need for developing novel means to deal with arising issues. The considerable scale of such networks, due to the large number of buses in smart power grids and the increasing number of electric vehicles in transportation networks, brings a large variety of computational complexity and optimization challenges. Although the independent optimization of these networks lead to locally optimum operation points, there is an exigent need to move towards obtaining the globally-optimum operation point of such networks while satisfying the constraints of each network properly. The book is suitable for senior undergraduate students, graduate students interested in research in multidisciplinary areas related to future sustainable networks, and the researchers working in the related areas. It also covers the application of interdependent networks which makes it a perfect source of study for audience out of academia to obtain a general insight of interdependent networks.
This volume provides resourceful thinking and insightful management solutions to the many challenges that decision makers face in their predictions, preparations, and implementations of the key elements that our societies and industries need to take as they move toward digitalization and smartness. The discussions within the book aim to uncover the sources of large-scale problems in socio-industrial dilemmas, and the theories that can support these challenges. How theories might also transition to real applications is another question that this book aims to uncover. In answer to the viewpoints expressed by several practitioners and academicians, this book aims to provide both a learning platform which spotlights open questions with related case studies. The relationship between Industry 4.0 and Society 5.0 provides the basis for the expert contributions in this book, highlighting the uses of analytical methods such as mathematical optimization, heuristic methods, decomposition methods, stochastic optimization, and more. The book will prove useful to researchers, students, and engineers in different domains who encounter large scale optimization problems and will encourage them to undertake research in this timely and practical field. The book splits into two parts. The first part covers a general perspective and challenges in a smart society and in industry. The second part covers several case studies and solutions from the operations research perspective for large scale challenges specific to various industry and society related phenomena.
Best Practices in Green Supply Chain Management uses present case studies from the Indian and Mexican manufacturing industries to offer new insights on the challenges of integrating environmental awareness into supply chain management operations in developing countries.
A supply chain comprises different actors existing in different countries, including suppliers, producers, and customers. Clothes are supplied from Asia to all other regions; most coffee beans are supplied from South America; and cocoa is produced in Africa. Protecting the rights of people who produce goods in different countries is essential. In fact, according to this evolutionary law, companies need to identify, analyze, and prioritize the risks in their supply chains, and new policies must be established based on these results. New measures are taken to prevent or minimize violations of human rights and damage to the environment. Companies also need to set up grievance channels for people in the supply chains for regular reporting on supply chain practices. The German Supply Chain Act gives consumers the security that companies are managed based on fair production, and many similar legislations are likely to follow in other nations. Businesses around the world must prepare for these types of policies to impact their own supply chain management strategy before they are enforced if they wish to avoid revenue-impacting delays. Government Impact on Sustainable and Responsible Supply Chain Management is edited by Atour Taghipour, with about a decade of experience as a director in Automobile and High-Tech Industries, provides new and innovative ways to integrate social and environmental analysis into global value chains and adapt the law that regulates corporate responsibility for the observance of sustainability and human rights in the supply chain. This book is ideal for professionals and researchers working in governmental and private organizations in supply chain management, operations management, logistics, and operations research. Moreover, the book provides insights and support for executives in managing expertise, knowledge, information, and organizational development in different work communities and environments.