Thesis-1994-Ahmad.pdf (10.61 MB)

Part grouping for efficient process planning

Download (10.61 MB)
posted on 09.10.2018, 13:42 by Khalil Ahmad
A framework to provide automated part grouping has been investigated in order to overcome the limitations found in existing part grouping techniques. The work is targeted at: exploration of criteria for feature-based part grouping to make the process planning activity efficient; determination of the optimal number of part families in the part grouping process; development of an experimental hybrid process planning system (HYCAPP); investigation of the effects of improved part grouping on manufacturing cell design. The research work has explored the creation of a feature-based component data model and manufacturing system capability data model, and checked the limitations inherent in existing part grouping techniques i.e. part grouping: around methods; based on part geometry; based on machining processes; and based on machines. [Continues.]


Pakistan, Ministry of Science and Technology.



  • Mechanical, Electrical and Manufacturing Engineering


© Khalil Ahmad

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at:

Publication date



A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy at Loughborough University.



Usage metrics

Mechanical, Electrical and Manufacturing Engineering Theses