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.
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Academic and Postgraduate
Illustrationen
2 s/w Abbildungen, 8 farbige Abbildungen, 2 s/w Zeichnungen, 8 farbige Zeichnungen
8 Line drawings, color; 2 Line drawings, black and white; 8 Illustrations, color; 2 Illustrations, black and white
Maße
Höhe: 235 mm
Breite: 157 mm
Dicke: 15 mm
Gewicht
ISBN-13
978-1-77491-584-4 (9781774915844)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Suchismita Satapathy, PhD, is an Associate Professor in the School of Mechanical Sciences, KIIT University, Bhubaneswar, India. She has published more than 140 articles in national and international journals and conferences along with several books and e-books for academic and research purposes. Her areas of interest include production operation management, operation research, acoustics, sustainability, and supply chain management. With more than 15 years of teaching and research experience, she has guided many MTech and BTech students. Dr. Satapathy has published books such as Production Operation Management, Multi-Criteria Decision-Making Techniques in Waste Management, and Innovation in Agriculture with IoT and AI.
Hullash Chauhan, PhD, is a PhD Research Scholar at KIIT University, Bhubaneshwar, Odisha, India. He has several years of teaching experience at different engineering colleges at both undergraduate and diploma levels and has published book chapters and articles in reputed journals and international conferences. His areas of interest include ergonomics, occupational health and safety, sustainability, supply chain management, and optimization techniques. Dr. Chauhan earned his PhD in Mechanical Engineering at KIIT (Deemed to be University), Odisha, India, and completed his MTech with a specialization in Industrial Engineering and Management and his BE in Mechanical Engineering.
1. Introduction 2. Literature Review 3. A Framework for Sustainable Challenges of the Indian Mining Sector 4. Prediction of Sustainable Supply Chain Management by Soft Computing Methods 5. Waste Management Strategies in the Mining Industry for Sustainability 6. Supplier Selection Criterion in the Mining Industry for Sustainable Supply Chain Management 7. Assessment of Risk in the Mining Sector of India
