Variations are inherent in all manufacturing processes and can significantly affect the quality of a final assembly, particularly in multistage assembly systems. Existing research in variation management has primarily focused on incorporating GD&T factors into variation propagation models in order to predict product quality and allocate tolerances. However, process induced variation, which has a key influence on process planning, has not been fully studied. Furthermore, the link between variation and cost has not been well established, in particular the effect that assembly process selection has on the final quality and cost of a product. To overcome these barriers, this paper proposes a novel method utilizing process capabilities to establish the relationship between variation and cost. The methodology is discussed using a real industrial case study. The benefits include determining the optimum configuration of an assembly system and facilitating rapid introduction of novel assembly techniques to achieve a competitive edge.
|Title of host publication||Advances in Manufacturing Technology XXX|
|Editors||Yee Mey Goh, Keith Case|
|Place of Publication||Amsterdam|
|Number of pages||6|
|Publication status||Published - 06 Sep 2016|
|Event||the 14th International Conference on Manufacturing Research - Loughborough University, Loughborough, United Kingdom|
Duration: 06 Sep 2016 → 08 Sep 2016
|Conference||the 14th International Conference on Manufacturing Research|
|Period||06/09/2016 → 08/09/2016|
- Variation management
- process selection
- cost estimation
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Student thesis: Doctoral Thesis › Doctor of PhilosophyFile