Operations Management and Data Analytics Modelling

Operations Management and Data Analytics Modelling

by Lalit Kumar Awasthi, Sushendra Kumar Misra, Dilbagh Panchal, Mohit Tyagi
Released December 2021
Publisher(s): CRC Press
ISBN: 9781000530773

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Book description

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.

Table of contents

  1. Cover
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Contents
  7. Preface
  8. Contributors
  9. Organization of the Book
  10. Brief Introduction of Editors
  11. 1 Measuring Banking Sector Efficiency: A Malmquist Approach
    1. Introduction
    2. 1.2 Review of Studies and Research to Measure Performance and Efficiency Levels of Banking Organizations
    3. 1.3 Objectives of the Study
    4. 1.4 Hypothesis of the Study
    5. 1.5 Research Methodology
      1. 1.5.1 Technological Change and Technical Efficiency Change
        1. Statistical Analysis Using R package
      2. 1.5.2 Index for Measuring Total Factor Productivity Change and its Disaggregated Components
    6. 1.6 Results and Discussion
    7. 1.7 Conclusion
    8. References
  12. 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
    1. Introduction
    2. 2.2 Literature
      1. 2.2.1 Entropy Weight Method
      2. 2.2.2 Evaluation Based on Distance from Average Solution Method
      3. 2.2.3 Range of Value Method
    3. 2.3 Illustrative Example
      1. 2.3.1 Implementation of EWM Method
      2. 2.3.2 Implementation of EDAS Method for Ranking of Supplier
      3. 2.3.3 Implementation of ROV Method for Ranking of Supplier
    4. 2.4 Results
    5. 2.5 Conclusion
    6. References
  13. 3 Quality Loss Function Deployment in Fused Deposition Modelling
    1. Introduction
    2. 3.2 Research Background
    3. 3.3 Research Methods
      1. 3.3.1 Quality Loss Function
      2. 3.3.2 Response Surface Methodology
    4. 3.4 Research Gap
    5. 3.5 Methodology
      1. 3.5.1 Experimentation Details
      2. 3.5.2 Design of Test Specimen
      3. 3.5.3 Process Details
      4. 3.5.4 Testing
    6. 3.5.5 Data Processing
      1. 3.5.5.1 Loss Function
      2. 3.5.5.2 Response Surface Methodology
    7. 3.6 Results and Discussion
    8. 3.7 Conclusion
    9. References
  14. 4 Effect of Physical Attributes of Coconut on Effective Husk Separation: A Review
    1. Introduction
      1. 4.1.1 Background
      2. 4.1.2 Research Objectives
    2. 4.2 Methods
      1. 4.2.1 Review Strategy
      2. 4.2.2 Screening
      3. 4.2.3 Data Extraction
    3. 4.3 Results and Discussion
      1. 4.3.1 Search Results
      2. 4.3.2 Physical Attributes of Coconut
      3. 4.3.3 Analysis of Coconut Husking Mechanisms
      4. 4.3.4 Implementation of Coconut Physical Attributes Into Husking Mechanisms
    4. 4.4 Conclusion
    5. References
  15. 5 Selection of Features and Classifier for Controlling Prosthetic Devices
    1. Introduction
    2. 5.2 Methodology
      1. 5.2.1 Data acquisition
        1. 5.2.1.1 Electrodes
        2. 5.2.1.2 Rectifier and Filter
      2. 5.2.2 Feature Extraction
    3. 5.3 Results
      1. 5.3.1 Result of ANOVA Techniques
      2. 5.3.2 Result of Classifier
    4. 5.4 Conclusion
    5. References
  16. 6 An Intelligent Solution for E-Waste Collection: Vehicle Routing Optimization
    1. Introduction
    2. 6.2 Problem Description and Modelling
      1. 6.2.1 Hybrid GA-ACO Algorithm
    3. 6.3 Simulation
    4. 6.4 Results and Discussion
    5. 6.5 Conclusion
    6. 6.6 Acknowledgement
    7. References
  17. 7 Identification of Most Significant Parameter in Estimation of Solar Irradiance at Any Location: A Review
    1. Introduction
    2. 7.2 ANN Methods of Estimation of Solar Energy
    3. 7.3 Parameters and Data Collection
      1. 7.3.1 Pressure
      2. 7.3.2 Air Quality Index
        1. 7.3.2.1 National Air Quality Index in India
    4. 7.4 Linear Model of GSR Estimation
    5. 7.5 Conclusion and Future Scope
    6. References
  18. 8 Assessment of Sustainable Product Returns and Recovery Practices in Indian Textile Industries
    1. Introduction
    2. 8.2 Literature Review
    3. 8.3 Research Methodology
    4. 8.4 Analysis and Discussion
    5. 8.5 Conclusion
    6. References
  19. 9 Integrating Reliability-Based Preventive Maintenance in Job Shop Scheduling: A Simulation Study
    1. Introduction
    2. 9.2 Research Background
    3. 9.3 Job Shop Configuration
      1. 9.3.1 Job Data
      2. 9.3.2 Reliability-Centered Preventive Maintenance Approach
        1. Notation
      3. 9.3.3 Mean Inter-Arrival Time
      4. 9.3.4 Due Date of Jobs
    4. 9.4 Simulation Model Configuration
      1. 9.4.1 Performance Measures
    5. 9.5 Experimental Design for a Simulation Study
    6. 9.6 Simulation Results and Analysis
    7. 9.7 Conclusions
    8. References
  20. 10 Prioritizing Circular Economy Performance Measures: A Case of Indian Rubber Industries
    1. Introduction
    2. 10.2 Literature Survey
    3. 10.3 Methodology
    4. 10.4 Results and Discussion
    5. 10.5 Conclusion and Future Scope
    6. References
  21. 11 Fuzzy FMEA Application in the Healthcare Industry
    1. Introduction
    2. 11.2 Notion of Fuzzy Set
      1. 11.2.1 Fuzzy and Crisp Numbers
      2. 11.2.2 Membership Function
    3. 11.3 FMEA Approach
    4. 11.4 Case Study
      1. 11.4.1 Application of FMEA and Fuzzy FMEA
    5. 11.5 Results and Discussions
    6. 11.6 Conclusion
    7. References
  22. 12 Drivers of Industry 4.0 in a Circular Economy Initiative in the Context of Emerging Markets
    1. Introduction
    2. 12.2 Literature Review
    3. 12.3 Solution Methodology
      1. 12.3.1 Structural Self-Interaction Matrix (SSIM)
      2. 12.3.2 Reachability Matrix
      3. 12.3.3 Partition of Drivers in Levels
      4. 12.3.4 Formation of ISM Model
      5. 12.3.5 MicMac Analysis
    4. 12.4 Results and Discussion
    5. 12.5 Implications of the Study
    6. 12.6 Conclusion
    7. References
  23. 13 Strategies to Manage Perishability in a Perishable Food Supply Chain
    1. Introduction
    2. 13.2 Literature Review
      1. 13.2.1 Descriptive Analytics
      2. 13.2.2 Bibliometric Analysis
    3. 13.3 Theoretical Background
    4. 13.4 Case Study
      1. 13.4.1 Managing the PFSC
    5. 13.5 Conclusion
    6. References
  24. 14 Six Sigma: Integration with Lean and Green
    1. Introduction
    2. 14.2 Definitions of Lean and Six Sigma
      1. 14.2.1 Lean
        1. 14.2.1.1 Lean Integration with Green
      2. 14.2.2 Six Sigma
        1. 14.2.2.1 Definitions of Six Sigma
        2. 14.2.2.2 Six Sigma Integration with Lean
    3. 14.3 Methodologies for Six Sigma
      1. 14.3.1 DMAIC (Define, Measure, Analyze, Improve and Control)
        1. 14.3.1.1 Define
        2. 14.3.1.2 Measure
        3. 14.3.1.3 Analyze
        4. 14.3.1.4 Improve
        5. 14.3.1.5 Control
    4. 14.4 Organization of Six Sigma Project Members
    5. 14.5 Integration of Green, Lean and Six Sigma (GLSS)
      1. 14.5.1 Integration of Lean and Six Sigma
      2. 14.5.2 Integration of Green Lean Six Sigma
      3. 14.5.3 Conceptual Frameworks of GLSS
        1. 14.5.3.1 Automobile Sector
        2. 14.5.3.2 Jute Industry
        3. 14.5.3.3 Construction Sector
    6. 14.6 Conclusion
    7. References
  25. Index

Product information

  • Title: Operations Management and Data Analytics Modelling
  • Author(s): Lalit Kumar Awasthi, Sushendra Kumar Misra, Dilbagh Panchal, Mohit Tyagi
  • Release date: December 2021
  • Publisher(s): CRC Press
  • ISBN: 9781000530773