Authors: Nuo Xu, Samuel H. Huang, Y. Kevin Rong
Addresses: Intelligent CAM Systems Laboratory, Department of Mechanical, Industrial and Nuclear Engineering, University of Cincinnati, Cincinnati, OH 45221, USA. ' Intelligent CAM Systems Laboratory, Department of Mechanical, Industrial and Nuclear Engineering, University of Cincinnati, Cincinnati, OH 45221, USA. ' Computer-aided Manufacturing Laboratory, Department of Mechanical Engineering, Worcester Polytechnic Institute, Worcester, MA 01609, USA
Abstract: Process planning has long been regarded as the key to achieving seamless integration between design and manufacturing. While there have been great successes in automating portions of the process planning task such as operation sequencing and cutter path optimisation, other areas such as automatic setup generation still remain elusive. This paper defines and elucidates setup planning by systematically decomposing this complex subject into tasks, constraints and the ultimate goal. Within the defined scope, this paper further reviews and analyses various automatic setup planning methods reported in the literature. A critical knowledge gap is identified, namely, the absence of a definition of setup plan optimality. A decision-aid-orientated perspective is then proposed to be applied in a technology hub-based supplier alliance environment.
Keywords: discrete constrained optimisation; fixture design; automatic setup planning; supplier alliances; tolerance analysis; process planning; CAPP; technology hubs.
International Journal of Manufacturing Technology and Management, 2007 Vol.11 No.2, pp.193 - 208
Published online: 11 Apr 2007 *Full-text access for editors Access for subscribers Purchase this article Comment on this article