Hullash Chauhan – författare

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.