| Title | Syllabus | Reference |
|---|---|---|
| Selected Applications of Operational Research and Artificial Intelligence in Manufacturing Systems | Overview of application of O.R., A.I. and hybrid methods, in operational control of systems involving manufacturing capacities, flows and stocks. Mathematical Programming and Knowledge-based Systems methods in reactive scheduling systems using hierarchical control. Heuristics and Neural Net based hybrid systems for scheduling in complex job shops and in sequencing in flexible flow lines. Dynamic job routing strategies in Flexible Manufacturing Systems; controlling flow of Automated Guided Vehicles in FMS and scheduling of vehicles in Automated Storage & Retrieval System. Control of stocks and load smoothing in capacitated production-inventory systems; control of inventories in assemble-to-order systems, pull manufacturing systems and divergent inventory systems. Scope for use of Intelligent Agents. Approximate analysis of multi-stage pull manufacturing systems using decomposition and queuing network methods; use of queuing network methods in design of FMS. Application of Petri Net models. Neural net based systems for condition based maintenance and systems monitoring. | Askin R. G. and Goldberg J. B., Design and Analysis of Lean Production
Systems, Wiley, 2003.
Fu Li Min, Neural Networks in Computer Intelligence, Tata McGraw Hill, 2003. Leondes C. (Ed.), Artificial Intelligence and Robotics in Manufacturing, CRC Press, 2001. Waterman D. A., A Guide to Expert Systems, Addison Wesley International Student Edition, 1999. Tzafestas S. G. (Ed.), Computer-Assisted Management and Control of Manufacturing Systems, Springer, 1997. Altiok T., Performance Analysis of Manufacturing Systems, Springer, 1997. Viswanadham N and Y. Narahari, Performance Evaluation of Automated Manufacturing Systems, Prentice Hall India, 1994. Gershwin S. B., Manufacturing Engineering Systems, Prentice Hall, 1994 |