Innovative Solutions for Sustainable Supply Chains
ISBN:
978-3-03-006833-2
Auflage:
Softcover reprint of the original 1st ed. 2018
Verlag:
Springer, Springer International Publishing
Land des Verlags:
Schweiz
Erscheinungsdatum:
08.01.2019
Herausgeber:
Reihe:
Understanding Complex Systems
Format:
Softcover
Seitenanzahl:
353
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This book presents the latest tools, techniques, and solutions that decision makers use to overcome the challenges faced by their sustainable supply chains. Given the ever increasing significance of socio-economic and environmental factors, the management of sustainable supply chains has become a complex and dynamic task. Multiple and conflicting objectives of stakeholders including suppliers, manufacturers, service providers, and retailers add to the complexity of decisions that modern day managers of supply chains face. With the unprecedented technological developments and innovations at hand, sustainability can be maximized for all the activities of a supply chain including: service concept and product design, material sourcing and procurement, manufacturing processes, delivery of the final product, and end-of-life management of the product. Consequently, the sustainable supply chains' problems require a systematic and integrated approach. Modeling and simulation, in general, as well as system dynamics and agent-based modeling, in particular, have the capabilities to deal with the complexity of sustainable supply chain related problems. This book will appeal to professionals and researchers in the field.
Schlagwörter
sustainability
data-driven science
modeling and theory building
sustainable supply chains models
System dynamics and the sustainable supply chains
Evidence-based sustainable supply chain management
Agent-based models and the sustainable supply chains
Innovative and integrative sustainable supply chains
Soft systems methods and the sustainable supply chains
Econometric models for emerging sustainable supply chains
Biografische Anmerkung
Hassan Qudrat-Ullah is a member of the Springer Complexity Board. He is Professor of Decision Sciences at the School of Administrative Studies at York University, Canada. His research interests include dynamic decision making, system dynamics modeling, and energy planning models.
