Optimal design of the auto parts supply chain for JIT operations: Sequential bifurcation factor screening and multi-response surface methodology

2014 ◽  
Vol 236 (2) ◽  
pp. 664-676 ◽  
Author(s):  
Wen Shi ◽  
Jennifer Shang ◽  
Zhixue Liu ◽  
Xiaolu Zuo
Keyword(s):  
Response Surface Methodology ◽  
Supply Chain ◽  
Optimal Design ◽  
Response Surface ◽  
Factor Screening ◽  
Auto Parts

Optimal design of slotless-type PMLSM considering multiple responses by response surface methodology

2006 ◽  
Vol 42 (4) ◽  
pp. 1219-1222 ◽  
Author(s):  
Sung-Il Kim ◽  
Jung-Pyo Hong ◽  
Young-Kyoun Kim ◽  
Hyuk Nam ◽  
Han-Ik Cho
Keyword(s):  
Response Surface Methodology ◽  
Optimal Design ◽  
Response Surface ◽  
Multiple Responses

scholarly journals Optimisation of micro W-bending process parameters using I-optimal design-based response surface methodology

2021 ◽  
Vol 8 ◽  
pp. 7
Author(s):  
Xiaoyu Liu ◽  
Xiao Han ◽  
Shiping Zhao ◽  
Yi Qin ◽  
Wan-Adlan Wan-Nawang ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Optimal Design ◽  
Response Surface ◽  
Process Parameters ◽  
Design Method ◽  
Dimensional Accuracy ◽  
Foil Thickness ◽  
Optimum Process ◽  
Proposed Model ◽  
Bending Process

There is an increasingly recognised requirement for high dimensional accuracy in micro-bent parts. Springback has an important influence on dimensional accuracy and it is significantly influenced by various process parameters. In order to optimise process parameters and improve dimensional accuracy, an approach to quantify the influence of these parameters is proposed in this study. Experiments were conducted on a micro W-bending process by using an I-optimal design method, breaking through the limitations of the traditional methods of design of experiment (DOE). The mathematical model was established by response surface methodology (RSM). Statistical analysis indicated that the developed model was adequate to describe the relationship between process parameters and springback. It was also revealed that the foil thickness was the most significant parameter affecting the springback. Moreover, the foil thickness and grain size not only affected the dimensional accuracy, but also had noteworthy influence on the springback behaviour in the micro W-bending process. By applying the proposed model, the optimum process parameters to minimize springback and improve the dimensional accuracy were obtained. It is evident from this study that the I-optimal design-based RSM is a promising method for parameter optimisation and dimensional accuracy improvement in the micro-bending process.

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