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A novel data-driven approach for assembly system scale-up using simulation-based decision making
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Kaniappan Chinnathai, Malarvizhi (2021) A novel data-driven approach for assembly system scale-up using simulation-based decision making. PhD thesis, University of Warwick.
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WRAP_Theses_Kaniappan_Chinnathai_2021.pdf - Submitted Version - Requires a PDF viewer. Download (25Mb) | Preview |
Official URL: http://webcat.warwick.ac.uk/record=b3736121~S15
Abstract
The effect of globalisation and mass customisation necessitates that manufacturing systems respond to market trends and changes with celerity. With the increase in product variety and customisation, industries need to secure a competitive advantage over their adversaries. To realise this, it is vital to pursue a strategy to shorten the duration of the various phases of a manufacturing project. One such critical phase of the manufacturing lifecycle that has garnered relatively less attention in literature, is the scale-up phase. The main aim of this research is to propose an industrially applicable robust systematic approach to support and guide scale-up at various phases of the manufacturing system lifecycle. To fulfill this aim, it is envisioned that a two-stage Data-Driven Scale-up Model encompassing the virtual modelling and analysis of potential assembly system and workstation configurations can enable the selection of a good system design without the need to procure and commission the actual physical elements. For this purpose, the data integration of kinematic modelling tools and Discrete-Event Simulation (DES) is first explored such that the accuracy of DES input data is improved. Secondly, the approach is coupled with a multi-objective genetic algorithm optimisation module to identify assembly system designs that can lead to successful scale-up. The identified design solutions are analysed according to the pre-defined scale-up criteria and the alternate options are compared. The results of the comparison are visualised using radar charts and tables which support the decision making. An application of the DDSM framework for battery module assembly case study is provided and its benefits and shortcomings are identified.
Item Type: | Thesis (PhD) | ||||
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Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management T Technology > TS Manufactures |
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Library of Congress Subject Headings (LCSH): | Decision making -- Computer simulation, Production planning, Assembly-line methods, Discrete-time systems -- Computer simulation | ||||
Official Date: | March 2021 | ||||
Dates: |
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Institution: | University of Warwick | ||||
Theses Department: | Warwick Manufacturing Group | ||||
Thesis Type: | PhD | ||||
Publication Status: | Unpublished | ||||
Supervisor(s)/Advisor: | Harrison, Robert (Professor) ; Vera, Daniel | ||||
Format of File: | |||||
Extent: | xvii, 253 leaves : illustrations (some colour) | ||||
Language: | eng |
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