Applications of Advanced Optimization Techniques in Industrial Engineering
eBook - ePub

Applications of Advanced Optimization Techniques in Industrial Engineering

  1. 230 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Applications of Advanced Optimization Techniques in Industrial Engineering

About this book

This book provides different approaches used to analyze, draw attention, and provide an understanding of the advancements in the optimization field across the globe. It brings all of the latest methodologies, tools, and techniques related to optimization and industrial engineering into a single volume to build insights towards the latest advancements in various domains.

Applications of Advanced Optimization Techniques in Industrial Engineering includes the basic concept of optimization, techniques, and applications related to industrial engineering. Concepts are introduced in a sequential way along with explanations, illustrations, and solved examples. The book goes on to explore applications of operations research and covers empirical properties of a variety of engineering disciplines. It presents network scheduling, production planning, industrial and manufacturing system issues, and their implications in the real world.

The book caters to academicians, researchers, professionals in inventory analytics, business analytics, investment managers, finance firms, storage-related managers, and engineers working in engineering industries and data management fields.

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Yes, you can access Applications of Advanced Optimization Techniques in Industrial Engineering by Abhinav Goel, Anand Chauhan, A. K. Malik, Abhinav Goel,Anand Chauhan,A. K. Malik in PDF and/or ePUB format, as well as other popular books in Mathematics & Operations. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2022
Print ISBN
9780367545451
eBook ISBN
9781000544879

Table of contents

  1. Cover Page
  2. Half Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Contents
  7. Editors
  8. Contributors
  9. 1 Dynamical Analysis in Modulated Logistic Maps
  10. 2 A Survey on Evolutionary Clustering Algorithms and Applications
  11. 3 Solving Linear Fractional Programming Problem Using Revised and Column Simplex Method
  12. 4 The Tradeoff in Managing Overall Cost and Backorder Minimization in Two-Stage Multi Commodity Supply Chain Problem
  13. 5 An Optimization Study on Behavior of Actinide Monochalcogenides at High Pressure
  14. 6 The Dynamics of a Continuous Innovation Diffusion Model with Advertisements as Well as Interpersonal Communications
  15. 7 Stochastic Analysis of a Priority-Based Warm Standby System Working under k-out-of-n: G Policy Using Multi-Dimensional Repair
  16. 8 An Inventory Policy for Increasing Holding Cost under the Effect of Stock-Dependent Deterioration and Partial Backlogging
  17. 9 A Fuzzy Inventory Model for Non-Instantaneous Oxidizing Items with a Nonlinear-Hexagonal Fuzzy Number under the Effect of Learning
  18. 10 Optimal Analysis of Machine Interference Problem with Standby, Random Switching Failure, Vacation Interruption and Synchronized Reneging
  19. 11 Optimal Cluster Head Election in Industrial WSNs Using the Multi-Objective Genetic Algorithm
  20. 12 Monitoring Social Distancing for Industries and in Public Areas Using Machine Learning
  21. 13 Profit-Maximization Inventory Model with Stock-Dependent Demand
  22. 14 Models of Supply Chain Sustainability in Industrial Engineering
  23. 15 Optimal Stabilization in Chaotic Maps Using Ishikawa Feedback Technique
  24. Index