Operations Management and Data Analytics Modelling : Economic Crises Perspective

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Operations Management and Data Analytics Modelling : Economic Crises Perspective

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 184 p.
  • 言語 ENG
  • 商品コード 9781032020594
  • DDC分類 658.4033

Full Description

Operations Management and Data Analytics Modelling: Economic Crises Perspective addresses real operation management problems in thrust areas like the healthcare and energy management sectors and Industry 4.0.

It discusses recent advances and trends in developing data-driven operation management-based methodologies, big data analysis, application of computers in industrial engineering, optimization techniques, development of decision support systems for industrial operation, the role of a multiple-criteria decision-making (MCDM) approach in operation management, fuzzy set theory-based operation management modelling and Lean Six Sigma.

Features




Discusses the importance of data analytics in industrial operations to improve economy



Provides step-by-step implementation of operation management models to identify best practices



Covers in-depth analysis using data-based operation management tools and techniques



Discusses mathematical modelling for novel operation management models to solve industrial problems

This book is aimed at graduate students and professionals in the field of industrial and production engineering, mechanical engineering and materials science.

Contents

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.

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