CM4014 Intelligent Manufacturing Systems Syllabus:
CM4014 Intelligent Manufacturing Systems Syllabus – Anna University PG Syllabus Regulation 2021
COURSE OBJECTIVES:
To know the concepts of Artificial Intelligence
To Practice the methods of solving problems using Artificial Intelligence
To build components of intelligent decision support system for Manufacturing
To understand intelligent systems and its troubleshooting methods
To investigate and deploy Artificial Intelligence for future smart manufacturing factories.
UNIT I INTRODUCTION
Components of manufacturing – Soft and Hard Automation – Flexible Manufacturing Cell – Flexible handling methods -Basic concepts of Artificial intelligence and expert systems – Intelligent System Components -System architecture and Data flow – System Operations.
UNIT II ARTIFICIAL INTELLIGENCE LANGUAGES
Heuristic search-logic programming and reasoning-automatic programming-scope of AI-in manufacturing components of intelligent manufacturing Aspects of intelligence and AI Requirements of AI languages, LISP & PROLOG – Simple programs
UNIT III BUILDING OF KNOWLEDGE BASED SYSTEMS
Knowledge engineering-protocol analysis -fuzzy logic -Semantic networks, Learning systems Knowledge Engineering Knowledge representation – Knowledge acquisition and optimization -Knowledge based approaches to design mechanical parts and mechanisms and design for automated assembly.
UNIT IV INTELLIGENT SYSTEMS
Knowledge based system for material selection – Intelligent process planning system. Intelligent system for equipment selection -Intelligent system for project management & factory monitoring. Inference engine Vision programmes-factory vision systems -machine learning
UNIT V FACTORIES OF FUTURE
The role of Artificial Intelligence in the factory of the future Features of Experts systems -applications in manufacturing planning and control – Intelligent systems. Scheduling in manufacturing – scheduling the shop floor – Diagnosis & trouble shooting.
COURSE OUTCOMES:
CO1: Apply various knowledge based techniques
CO2: Build components of intelligent decision support system
CO3: Adopt intelligent system for Manufacturing
CO4: Demonstrate the concepts of Artificial Intelligence
CO5: Solve problems using Artificial Intelligence
REFERENCES
1. Andrew Kussiak, “Intelligent Manufacturing Systems”, Prentice Hall, 1990.
2. Kenneth R.Baker, “Introduction to sequencing and scheduling”, John Wiley & Sons, New York, 2009.
3. Richard W. Conway, William Maxwell and Louis W. Miller, “Theory of Scheduling”, Dover Publications, 2003.
4. Rich,E., “Artificial Intelligence”, McGraw Hill, 1986.
5. Simons, G.L, “Introducing Artificial Intelligence”, NCC Pub, 1990.