Introduction to manufacturing models - types and principles of manufacturing system, manufacturing models - types and uses - physical models, mathematical models, model uses, model building.

Introduction - line balancing algorithms - COMSOL Random sequence generation, Ranked positional weight heuristics, optimal solutions- practical issues - mixed models – sequencing - unpaced lines- Shop scheduling with many products, Order release, flow shop sequencing – single and two machine flow shops- job shop scheduling.

Principle, Sensors for Process Monitoring - online and off line quality control, Quality parameter design Direct monitoring of fault based on process signals. Condition monitoring of manufacturing systems- principles –sensors for monitoring force, vibration and noise. Selection of sensors and monitoring techniques. Acoustics emission sensors-principles and applications-online tool wear monitoring

MRP – MRPII - Shop floor control – Factory data collection systems – Automatic identification methods – Bar code technology, Two-Dimensional Bar Codes, Radio Frequency Identification, automated data collection system – Agile manufacturing- flexible manufacturing- Enterprise integration and factory information system.

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