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Mathematical Modeling and Simulation: Case Studies on Drilling Operations in the Ore Mining Industry [Paperback]

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  • Category: Books (Technology & Engineering)
  • ISBN-10:  0367676362
  • ISBN-10:  0367676362
  • ISBN-13:  9780367676360
  • ISBN-13:  9780367676360
  • Publisher:  CRC Press
  • Publisher:  CRC Press
  • Pages:  162
  • Pages:  162
  • Binding:  Paperback
  • Binding:  Paperback
  • SKU:  0367676362-11-MPOD
  • SKU:  0367676362-11-MPOD
  • Item ID: 106988943
  • Seller: ShopSpell
  • Ships in: 2 business days
  • Transit time: Up to 5 business days
  • Delivery by: Oct 14 to Oct 16
  • Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.
This book explains the concept of man-machine systems by using the mining industry. The goal is to use a mathematical model based approach to improve the quality of human life of the workers and operators with the enhancement of productivity by controlling the process variables.The book will illustrate the formulation of mathematical modelling for manual operations. It will provide details in the investigation of many machine systems through the case study approach and provide data analysis using the concept of mathematical modelling and sensitivity. It presents how to solve a field problem through a field data-based modelling concept and highlights the collection of anthropometry data and its behavior.The book will be useful for researchers, academic libraries, professionals, post graduate students of Industrial, Mechanical, and Manufacturing Engineering programs.1. Man Machine System. 2. Formulation of Problem. 3. Design of Experimentation. 4. Procedure of Experimentation and Experimental Results. 5. Mathematical Modelling of Operations, 6. ANN Simulation. 7. Sensitivity Analysis. 8. Analysis of Performance of the Model. 9. Quantitative Analysis on Face Drilling Operation.

This book explains the concept of man-machine systems by using the mining industry. The goal is to use a mathematical model based approach to improve the quality of human life of the workers and operators with the enhancement of productivity by controlling the process variables.

US? 2022 selection and editorial matter, Dr. P. N. Belkhode, Dr. J. P. Modak, Dr. V. Vidyasagar, Dr. P. B. Maheshwary; individual chapters, the contributors
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