TY - JOUR
T1 - Design of multi-station manufacturing processes by integrating the stream-of-variation model and shop-floor data
AU - Abellan-Nebot, Jose V.
AU - Liu, Jian
AU - Romero Subiron, F.
N1 - Funding Information:
This work has been partially supported by Fundació Caixa-Castelló Bancaixa (Research Promotion 2007 and 2009) and the Spanish National Project number DPI2007-66871-C02-01 (PIA12007-83). The authors greatly acknowledge the investigation support by the NSF Engineering Research Center for Reconfigurable Manufacturing System at University of Michigan and the assistance from Professor Jianjun Shi, Zbigniew Pasek and Elijah Kannatey-Asibu.
PY - 2011/4
Y1 - 2011/4
N2 - Process design has been intensively studied to reduce dimensional variability of products produced in multi-station manufacturing processes (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 shop floor data, 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 manufacturing stations/operations; and (iii) an optimal selection of candidate process plans. A case study is presented to demonstrate the effectiveness of the methodology.
AB - Process design has been intensively studied to reduce dimensional variability of products produced in multi-station manufacturing processes (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 shop floor data, 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 manufacturing stations/operations; and (iii) an optimal selection of candidate process plans. A case study is presented to demonstrate the effectiveness of the methodology.
KW - Historical data
KW - Process capability
KW - Process planning
KW - Sensitivity analysis
KW - Variation propagation
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U2 - 10.1016/j.jmsy.2011.04.001
DO - 10.1016/j.jmsy.2011.04.001
M3 - Article
AN - SCOPUS:80055086881
SN - 0278-6125
VL - 30
SP - 70
EP - 82
JO - Journal of Manufacturing Systems
JF - Journal of Manufacturing Systems
IS - 2
ER -