Operational Sustainability in the Mining Industry
Springer Verlag, Singapore
978-981-15-9026-9 (ISBN)
This book provides a sound knowledge of cutting-edge factors to the reader for managing the business to attain operational excellence and long-term sustainability, and caters to a broad spectrum of management and technical readers.
Hassan Qudrat-Ullah is a professor of decision sciences, at the School of Administrative Studies, York University, Canada. Dr. Hassan has over 20 years of teaching, research, industry, and consulting experience in the USA, Canada, Singapore, Norway, UK, Korea, China, Saudi Arabia, and Pakistan. His research interests include dynamic decision making, interactive learning environments, system dynamics, and energy policies. His research has appeared in Energy Policy, Energy, Simulations & Gaming, International Journal of Management and Decision Making, Journal of Decision Systems, Telecommunication Systems, International Journal of Technology Management, Decision Support Systems, and Computers & Education. Hassan has also published eleven books and over 100 refereed article in journals and conference proceedings. Pramela Nair Panthallor completed her Doctoral study in Business Research from Monarch Business School, Switzerland, her MBA from Sikkim Manipal University, India, and her B.Eng. in Computer Science from Orissa Engineering College, India. She was awarded a distinction for her doctoral thesis work and was chosen through peer & student evaluations for an award of Most Excellent Lecturer (2016-17) for outstanding teaching efforts. She has more than 8+ years of experience in teaching undergraduate courses in International Business, Software Engineering, and Computer Science & Engineering. She has lived in seven different countries and has experience working in five of them.
Introduction: Managing Large-Scale Mining Operations.- Integrated and Advanced Information Systems in LSOPM.- Organizational Efficiencies and LSOPM Business.- Efficient Decision-Making in LSOPM Processes.- Conclusions and Future Research Directions in LSOPM.
Erscheinungsdatum | 13.11.2020 |
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Reihe/Serie | Asset Analytics |
Zusatzinfo | 34 Illustrations, color; 3 Illustrations, black and white; XV, 162 p. 37 illus., 34 illus. in color. |
Verlagsort | Singapore |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Naturwissenschaften ► Geowissenschaften ► Meteorologie / Klimatologie |
Technik ► Bergbau | |
Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management | |
ISBN-10 | 981-15-9026-5 / 9811590265 |
ISBN-13 | 978-981-15-9026-9 / 9789811590269 |
Zustand | Neuware |
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