Vector space model for the generalized parts grouping problem

Citation
Nf. Samatova et al., Vector space model for the generalized parts grouping problem, ROBOT CIM, 17(1-2), 2001, pp. 73-80
Citations number
13
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
ISSN journal
07365845 → ACNP
Volume
17
Issue
1-2
Year of publication
2001
Pages
73 - 80
Database
ISI
SICI code
0736-5845(200102/04)17:1-2<73:VSMFTG>2.0.ZU;2-O
Abstract
The vector perturbation approach is introduced for addressing the generaliz ed parts grouping problem, identifying part families for a general set of s uppliers, 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 re present a set of operation sequences as opposed to the traditional matrix a nd integer programming models in group technology. Using this approach, we find that we are able to generate part groups from 90% of the available par ts, in which all the operation sequences are preserved. This contrasts the traditional methods using which only 66% of the available parts can be grou ped. Furthermore, a vector representation of operation sequences provides a n intuitive means for discovering the natural structure of the part data. F rom these results, we conclude that this technique can dramatically improve the effectiveness of the entire supply chain. (C) 2001 Elsevier Science Lt d. All rights reserved.