Operations Management for Environmental Sustainability - Operational Measures, Regulations and Carbon Constrained Decisions

Operations Management for Environmental Sustainability - Operational Measures, Regulations and Carbon Constrained Decisions

von: Guowei Dou, Lijun Ma, Kun Wei, Qingyu Zhang

Springer-Verlag, 2023

ISBN: 9783031376009 , 148 Seiten

Format: PDF

Kopierschutz: Wasserzeichen

Windows PC,Mac OSX Apple iPad, Android Tablet PC's

Preis: 48,14 EUR

Mehr zum Inhalt

Operations Management for Environmental Sustainability - Operational Measures, Regulations and Carbon Constrained Decisions


 

This book explores optimal decisions for companies and governments to build a sustainable supply chain and economy by applying analytical models from new perspectives.
Taking differentiated carbon permit-buying and -selling prices into consideration, it investigates the optimal emission permit cap under the 'cap-and-trade' regulation and discusses how to establish a two-period carbon tax scheme with a two-period planning horizon.
Moreover, it examines how to balance the economic and environmental performances in a closed-loop supply chain, how to implement trade-in program when employing green technologies, and how to strategically use the blockchain technology to improve the environmental performance of supply chain under the carbon tax policy.
This book is written for students and researchers who are specialized in the field of operations management with a focus on environmental sustainability. It is also beneficial for specialists and executives at companies that are facing carbon emission regulation challenges, as well as government officials who develop the emission control policies.




?Guowei Dou is an Assistant Professor at the College of Management, Shenzhen University (China). His research interest lies in the area of green supply chain management, service operation management and platform economy.Lijun Ma is a Full Professor at the College of Management, Shenzhen University (China). He is also affiliated with the Institute of Big Data, Intelligent Management and Decision at Shenzhen University. He obtained his Ph.D. in system engineering and engineering management from the Chinese University of Hong Kong in 2007. His current research interests include logistics and supply chain management, service management.