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    Design & development of a simulation model to analyse scheduling rules in an FMS in a virtual manufacturing environment : a thesis presented in partial fulfilment of the requirements for the degree of Master of Technology in Manufacturing and Industrial Technology at Massey University
    (Massey University, 1997) Talla, Ajay Bhushan
    Due to the rapid changes in the needs of the customer for new products, the future manufacturing systems must cope with these changes. Hence, the need for the manufacturing systems to support these changes in the products with shorter lead times within a single manufacturing facility. The Virtual Manufacturing System (VMS) is one concept which can assist in meeting these demands. The VMS concept enables the manufacturing system designers to emulate and test the performance of the future manufacturing systems. This research has given an overview of the new concepts of Virtual Manufacturing Systems and Virtual Manufacturing in general. A Virtual Reality Software tool has been used to realise the VMS concept. A Virtual Manufacturing Environment representing a Flexible Manufacturing System (FMS) has been modelled. A simulation control language is employed for developing simulation control logics and decision making control logics for the development of the FMS model. The modelled FMS is implemented and tested through simulation experiments. The testing is done by analysing the traditional scheduling rules in a manufacturing facility. Average Machine Utilisation, Mean Flow Time, Average Queue Lengths and the System Production Rate are measured as the System Performance Measures for the evaluation of the scheduling rules. This research has identified that the Virtual Manufacturing Software is a powerful tool which can identify optimum configurations and highlight potential problems before a final and expensive manufacturing system is established physically.
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    Process design testing using simulation : a thesis presented in partial fulfilment of the requirements for the degree of Master in Technology in Engineering and Automation at Massey University
    (Massey University, 2004) Martin, Nicholas Kenneth Lamie
    PROGRAMME OVERVIEW The research described here, 'Design Testing Using Simulation,' is part of the larger programme 'Remote Process Performance Monitoring and Process Design Auditing'. The goal of this is to provide SchemNZ Ltd with the expertise and technological capability to remotely (internationally) monitor and diagnose the performance of processing and manufacturing plants. This will permit the client companies to schedule maintenance of equipment rather than react to unexpected equipment failures. In addition, it will allow the client companies to retain trained staff locally rather than attempt to duplicate skills in each international market. Project Description Specifically this project investigates the use of process simulation software to audit process designs before construction and in particular, before overseas shipping. By trialing the software on a case study the company will gain confidence in the ability of the software to highlight problems with process designs. Although the theoretical background for modelling and simulation has existed for some time, the application of these techniques is only becoming widely feasible with the advent of computers. Furthermore, the techniques are not yet as rigorous as those used in more traditional methods. A large part of this project therefore is concerned with building techniques and systems that will enable further modelling to proceed in a high-quality fashion. The results of the simulation while important, are not the driving factor in this project. Rather the creation of a logical framework that can be applied to additional projects and the validation of the model's usefulness are the primary goals for this research. This approach will lead to an integration of modelling techniques providing a system that allows useful simulations to be created quickly and easily.
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    Utilising measurable uncontrollable factors in parameter design to optimise the response : ba thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Statistics at Massey University
    (Massey University, 1998) Pledger, Megan J.
    This thesis looks at issues in Industrial Experimental Design and Quality Control. The first part is a review of Parameter Design and its evolution into methods of modelling the mean and variance as one system. The second part introduces the concepts of observable and unobservable factors as an extension to the ideas of controllable and uncontrollable factors of Parameter Design. Methods will be devised to show how to choose the best settings of the controllable factors and how to move to those settings once chosen. In the last section estimates for tracking the unobservable uncontrollable factors will be devised. These will be examined to see whether they can be used to improve the monitoring of the system via control charts.