Sensitivity analysis–based dynamic process capability evaluation for small batch production runs

2016 ◽  
Vol 230 (10) ◽  
pp. 1855-1869 ◽  
Author(s):  
Xueliang Zhou ◽  
Pingyu Jiang ◽  
Yan Wang
Keyword(s):  
Sensitivity Analysis ◽  
Dynamic Process ◽  
Process Capability ◽  
Batch Production ◽  
Capability Evaluation

scholarly journals Multiple Process Capability Improvement Method based on Principal Component Analysis

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Guangqi Ying ◽  
Yan Ran ◽  
Genbao Zhang ◽  
Yuxin Liu ◽  
Shengyong Zhang
Keyword(s):  
Principal Component Analysis ◽  
Principal Components ◽  
Evaluation Method ◽  
Process Capability ◽  
Principal Component ◽  
Component Analysis ◽  
Multiple Process ◽  
Improvement Method ◽  
Capability Evaluation ◽  
Capability Improvement

For the traditional multi-process capability construction method based on principal component analysis, the process variables are mainly considered, but not the process capability, which leads to the deviation of the contribution rate of principal component. In response to the question, this paper first clarifies the problem from two aspects: theoretical analysis and example proof. Secondly, aiming at the rationality of principal components degree, an evaluation method for pre-processing data before constructing MPCI using PCA is proposed. The pre-processing of data is mainly to standardize the specification interval of quality characteristics making the principal components degree more reasonable and optimizes the process capability evaluation method. Finally, the effectiveness and feasibility of the method are proved by an application example.

scholarly journals Fed-Batch Production of Bacterial Ghosts Using Dielectric Spectroscopy for Dynamic Process Control

2016 ◽  
Vol 4 (2) ◽  
pp. 18 ◽  
Author(s):  
Andrea Meitz ◽  
Patrick Sagmeister ◽  
Werner Lubitz ◽  
Christoph Herwig ◽  
Timo Langemann
Keyword(s):  
Process Control ◽  
Dynamic Process ◽  
Dielectric Spectroscopy ◽  
Fed Batch ◽  
Batch Production ◽  
Bacterial Ghosts

Calculation Method on Process Capability Index of True Position Based on Maximum Material Condition

2014 ◽  
Vol 915-916 ◽  
pp. 1456-1459
Author(s):  
Shuang Zhang ◽  
Jin Gang Gao
Keyword(s):  
Calculation Method ◽  
Evaluation Method ◽  
Process Capability ◽  
Process Capability Index ◽  
Related Individual ◽  
Capability Index ◽  
Material Condition ◽  
Tolerance Specification ◽  
True Position ◽  
Capability Evaluation

This paper focuses on process capability evaluation method for position tolerance under maximum material condition. Due to application of maximum material condition the position tolerance specification varies individually for each part, the approach of percentage normalization is introduced to calculate position process capability index. Bush is taken as an example, and true position percentage normalization of 30 parts are calculated. Considering the true position constitution relative to position tolerance at maximum material condition, related individual percentages are used to express the result and the same tolerance size 100% is obtained as for a unilateral tolerance. Process Capability index is calculated with Minitab software.

Machine capability sigma level evaluation and allocation method

2019 ◽  
Vol 234 (14) ◽  
pp. 2771-2780
Author(s):  
Sheng-yong Zhang ◽  
Gen-bao Zhang ◽  
Yan Ran ◽  
Adrian Murphy
Keyword(s):  
Production Management ◽  
Evaluation Method ◽  
Process Capability ◽  
Multiple Characteristic ◽  
Multivariate Statistical ◽  
Sigma Level ◽  
Traditional Process ◽  
Process Factors ◽  
Capability Evaluation

The concept of process capability has been widely used in production management and quality control. However, applying traditional process capability evaluation method to machine capability cannot eliminate the influence of other process factors other than machine. To solve the problem, we propose the sigma machine capability evaluation method in this paper. First, multivariate statistical analysis methods are used to analyze the influence of all factors. Second, we deleted the non-normal data through sample fitting. Then, on the basis of normal distribution, we used the sample variance as the evaluation index to calculate the sigma levels of single characteristic and multiple characteristic parts. Last, we applied the sigma evaluation method and the traditional one to conduct a case study and compare their results, which proves the feasibility and superiority of the sigma level evaluation method.

scholarly journals Process pattern and process capability evaluation model for interoperability in learning object environments

Array ◽  
2021 ◽  
Vol 10 ◽  
pp. 100059
Author(s):  
Araceli Justo-López ◽  
Gabriel López-Morteo ◽  
Brenda Flores-Ríos ◽  
Lorena Castro García
Keyword(s):  
Evaluation Model ◽  
Process Capability ◽  
Learning Object ◽  
Pattern And Process ◽  
Process Pattern ◽  
Capability Evaluation
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