Data Analytics for Supply Chain NetworksNiamat Ullah Ibne Hossain The objective of the book is to adopt the application of data analytics to enhance the sustainability and resilience of the green supply chain networks. To demonstrate the applicability and usefulness of the method, the book adopts different data analytic models and approaches against the backdrop of case studies. In summary, this book attempts to address the question of methods, tools, and techniques that can be used to create resilient, anti-fragile, reliable, and invulnerable green supply chain networks. |
Contents
| 1 | |
| 15 | |
Supply Chain Sustainability and Supply Chain Resilience A Performance Measurement Framework with Empirical Validat | 48 |
An Assessment of DecisionMaking in Resilient and Sustainable Projects Between Literature and Practice | 107 |
Barriers for Sustainable Supply Chain Management and Their Overcoming Strategies in Context of the Indian Automobil | 129 |
Prioritizing Sustainability Criteria of Green Supply Chains Using the BestWorst Method | 166 |
Economic Performance Analysis of a Resilient and Sustainable Supply Chain Adoption of Electric Vehicles as a Susta | 197 |
Integrating Circular Economy and Reverse Logistics for Achieving Sustainable Dairy Operations | 211 |
The Impact of Big Data Analytics Capabilities on the Sustainability of Maritime Firms | 227 |
Smart Transportation Logistics Achieving Supply Chain Efficiency with Green Initiatives | 243 |
| 259 | |
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Common terms and phrases
adoption analysis approach artificial intelligence assessment Ayyildiz Bangladesh barriers BDAC big data analytics biogas blockchain Cagno capabilities circular economy Clean Prod Comput core framework cost criteria cycle dairy waste decision-making DEMATEL Dempster-Shafer theory dimensions disruption economic efficiency electric vehicles energy Environ evaluation grades experts firm’s flexibility focal firm fuzzy TOPSIS green SCM green supply chain GSCM initiatives ICEV impact implementation improve Indian automobile industry indicators Industry 4.0 Int J Prod integrated intelligent transportation systems internal factors ISSN Kumar literature review manufacturing MCDM method multi-criteria operations practices Prod Res production Recovery recycling Response reverse logistics sector Shamsuddoha smart transportation SSCM strategies sub-criteria supply chain management supply chain network supply chain resilience supply chain sustainability sustainability and resilience sustainable supply chain Syst Table Transp transportation systems Wang Chen Yager's rule Yes/yes Yes/yes Yes
