JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

INTELLIGENT MANUFACTURING SYSTEMS

M.Tech I Year I Semester (R17)

UNIT - I

Computer Integrated Manufacturing Systems Structure and functional areas of CIM system - CAD, CAPP, CAM, CAQC, ASRS.Advantages of CIM. Manufacturing Communication Systems - MAP/TOP, OSI Model, Data Redundancy, Top- down and Bottom-up Approach, Volume of Information. Intelligent Manufacturing System Components, System Architecture and Data Flow, System Operation.

UNIT - II

Components of Knowledge Based Systems - Basic Components of Knowledge Based Systems, Knowledge Representation, Comparison of Knowledge Representation Schemes, Interference Engine, Knowledge Acquisition.

UNIT - III

Machine Learning - Concept of Artificial Intelligence, Conceptual Learning, Artificial Neural Networks - Biological Neuron, Artificial Neuron, Types of Neural Networks, Applications in Manufacturing.

UNIT - IV

Automated Process Planning - Variant Approach, Generative Approach, Expert Systems for Process Planning, Feature Recognition, Phases of Process planning. Knowledge Based System for Equipment Selection (KBSES) - Manufacturing system design. Equipment Selection Problem, Modeling the Manufacturing Equipment Selection Problem, Problem Solving approach in KBSES, Structure of the KRSES.

UNIT - V

Group Technology: Models and Algorithms Visual Method, Coding Method, Cluster Analysis Method, Matrix Formation - Similarity Coefficient Method, Sorting-based Algorithms, Bond Energy Algorithm, Cost Based method, Cluster Identification Method, Extended CI Method. Knowledge Based Group Technology - Group Technology in Automated Manufacturing System. Structure of Knowledge based system for group technology (KBST) — Data Base, Knowledge Base, Clustering Algorithm.

REFERENCES:

  • 1. Intelligent Manufacturing Systems/ Andrew Kusiak/Prentice Hall.
  • 2. Artificial Neural Networks/ Yagna Narayana/PHI/2006
  • 3. Automation, Production Systems and CIM / Groover M.P./PHI/2007
  • 4. Neural networks: A comprehensive foundation/ Simon Haykin/ PHI.
  • 5. Artificial neural networks/ B. Vegnanarayana/PHI
  • 6. Neural networks in Computer intelligence/ Li Min Fu/ TMH/2003
  • 7. Neural networks/ James A Freeman David M S kapura/ Pearson education/2004
  • 8. Introduction to Artificial Neural Systems/Jacek M. Zurada/JAICO Publishing House Ed. 2006.

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