Abstract
The vector perturbation approach is introduced for addressing the generalized parts grouping problem, identifying part families for a general set of suppliers, not just a single supplier. This method is driven by the need for flexible and lean supply chain systems. A vector space model is used to represent a set of operation sequences as opposed to the traditional matrix and integer programming models in group technology. Using this approach, we find that we are able to generate part groups from 90% of the available parts, in which all the operation sequences are preserved. This contrasts the traditional methods using which only 66% of the available parts can be grouped. Furthermore, a vector representation of operation sequences provides an intuitive means for discovering the natural structure of the part data. From these results, we conclude that this technique can dramatically improve the effectiveness of the entire supply chain.
Original language | English |
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Pages (from-to) | 73-80 |
Number of pages | 8 |
Journal | Robotics and Computer-Integrated Manufacturing |
Volume | 17 |
Issue number | 1-2 |
DOIs | |
State | Published - Feb 2001 |
Funding
This research was supported in part by an appointment to the Oak Ridge National Laboratory Postdoctoral Research Associates Program administered jointly by the Oak Ridge Association of University and Oak Ridge National Laboratory. We would like to thank Michael Borgsmiller for providing with the software programs used throughout this project.