Department of Mechanical Engineering, Unit Catalogue 2008/09 |
ME40046 Modelling and analysis of manufacturing systems |
| Credits: 6 |
| Level: Masters |
| Semester: 1 |
| Assessment: CW 40%, EX 60% |
| Requisites: |
| Before taking this unit you must take ME30035 or take ME30029 |
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Aims:
* To develop an understanding of the use and benefits of modelling and simulation in manufacturing systems design and operation. * To develop an understanding of techniques to assess factory performance and identify areas for improvement. * To develop an understanding of techniques to assess process capability and manufacturing performance. * To develop an understanding of techniques to enable responsive manufacturing systems. * To provide the students with knowledge of a set of tools to enable them to assess the performance of a manufacturing facility. Learning Outcomes: On successful completion of this unit the student will have: * Modelled and simulated the operation of a small manufacturing system. * Used simulation as a manufacturing system design technique. * Justified the use of manufacturing modelling and simulation. * Used techniques such as value stream mapping and IDEF to identify improvements required in a manufacturing system. * Demonstrated a knowledge and understanding of the techniques such as design for changeover to improve manufacturing system performance. * Demonstrated a knowledge and understanding of how to use techniques such as experimental design to assess process capability within a manufacturing system. * Demonstrated a knowledge and understanding of the current trends in global manufacturing. Skills: Problem solving; IT; working independently; data analysis and interpretation and written communication. Content: Modelling and Simulation: Definitions. Types of models. Modelling methodologies. Validation and Verification. Justification, benefits and uses of simulation. Modelling Manufacturing Systems: Discrete event and continuous approaches to simulation. Discrete event computer languages. Visually interactive simulation. Use of mathematical and statistical models, distributions and random numbers, queuing models and inventory systems. Modelling breakdowns, conveyors, workflow and tool flow. Utilisation statistics. Model verification and validation. Simulation of manufacturing systems. Information Models: Information flows within manufacture. Levels of detail. Structured approaches to modelling and evaluating manufacturing systems/processes such as IDEF models, experimental design, DfX and VSM. Global Manufacturing. |