Operations Management and Data Analytics Modelling: Economic Crises Perspective [Paperback]

1. Measuring Banking Sector Efficiency: A Malmquist Approach. 2. A Hybrid MCDM Model Combining Entropy Weight Method with Range of Value (ROV) Method and Evaluation Based on Distance from Average Solution (EDAS) Method for Supplier Selection in Supply Chain Management. 3. Quality Loss function deployment in Fused Deposition Modelling. 4. Effect of Physical Attributes of Coconut on Effective Husk Separation: A Review. 5. Selection of Features and classifier for Controlling the Prosthetic Devices. 6. An intelligent solution for e-waste collection: vehicle routing optimization. 7. Identification of most significant parameter in estimating of solar irradiance at any location A review. 8. Assessment of Sustainable Product Returns and Recovery practices in Indian Textile Industries. 9. Integrating reliability-based preventive maintenance in job shop scheduling; a simulation study. 10. Prioritizing Circular Economy Performance Measures: A Case of Indian Rubber Industries. 11. Fuzzy FMEA application in healthcare industry. 12. Drivers of industry 4.0 in a circular economy initiative in the context of emerging market. 13. Strategies to manage perishability in Perishable Food Supply Chain. 14. Six Sigma: Integration with Lean and Green.This reference text introduces latest innovations on data analytics operation management in a single volume. It will serve as a useful text for graduate students and professionals in the field of industrial and production engineering, mechanical engineering, and materials science.

Prof. Lalit K Awasthi is Director, Dr B R Ambedkar National Institute of Technology, Jalandhar, India since 10^th October, 2016. He is a distinguished Professor of Computer Science & Engineering at NIT Hamirpur, Himachal, India. He has teaching and research experience of 30 years in teaching, research & development. He is the founder member of Computer Science & Engineering Department lӧ