Design of multi-station manufacturing processes by integrating the stream-of-variation model and shop-floor data
Impact
Scholar |
Other documents of the author: Abellán-Nebot, José V.; Liu, Jian; Romero Subirón, Fernando
Metadata
Show full item recordcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7034
comunitat-uji-handle3:10234/8619
comunitat-uji-handle4:
INVESTIGACIONThis resource is restricted
http://dx.doi.org/10.1016/j.jmsy.2011.04.001 |
Metadata
Title
Design of multi-station manufacturing processes by integrating the stream-of-variation model and shop-floor dataDate
2011-04Publisher
ElsevierISSN
0278-6125Bibliographic citation
Journal of Manufacturing Systems Volume 30, Issue 2, April 2011Type
info:eu-repo/semantics/articlePublisher version
http://www.sciencedirect.com/science/article/pii/S0278612511000264Subject
Abstract
Processdesign has been intensively studied to reduce dimensional variability of products produced in multi-stationmanufacturingprocesses (MMPs). Most of the existing studies focus on predicting variation propagation ... [+]
Processdesign has been intensively studied to reduce dimensional variability of products produced in multi-stationmanufacturingprocesses (MMPs). Most of the existing studies focus on predicting variation propagation and evaluating process robustness. However, these studies overlook the potential use of historical shop-floor quality data of existing MMPs in order to extract the actual manufacturing operation capabilities from each station, and then, to evaluate more accurately the expected dimensional variability of new candidate process plans. This paper proposes a methodology to improve process plan selection based on three components: (i) based on historical shopfloordata, an inference on the process capabilities of the stations in an existing MMP, which will be used to produce the new product; (ii) a sensitivity analysis of candidate process plans to identify critical fixtures and manufacturingstations/operations; and (iii) an optimal selection of candidate process plans. A case study is presented to demonstrate the effectiveness of the methodology. [-]
Rights
Copyright © 2011 The Society of Manufacturing Engineers. Published by Elsevier Ltd. All rights reserved.
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/restrictedAccess
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/restrictedAccess
This item appears in the folowing collection(s)
- ESID_Articles [478]