Application of Statistical Clustering to Screen Printing Process Control

1995 ◽  
Vol 117 (3) ◽  
pp. 235-240
Author(s):  
V. A. Skormin ◽  
C. R. Herman ◽  
L. J. Popyack
Keyword(s):  
Process Control ◽  
Mathematical Description ◽  
Screen Printing ◽  
Assembly Process ◽  
Process Variables ◽  
Control Applications ◽  
Clustering Model ◽  
Control Procedures ◽  
And Control ◽  
Statistical Clustering

Statistical clustering is applied for mathematical description of a surface mount assembly process. The clustering model, intended for process control applications, defines the correspondence between various outcomes of the process and particular regions in the space of process variables. An adaptive version of the clustering model is presented. Prediction, regime selection and control procedures, utilizing the clustering model, are formulated.

Long Range Predictive Optimal Control Law With Guaranteed Stability for Process Control Applications

1993 ◽  
Vol 115 (4) ◽  
pp. 600-610 ◽  
Author(s):  
M. J. Grimble
Keyword(s):  
Process Control ◽  
Predictive Control ◽  
Industrial Applications ◽  
Control Law ◽  
Control Applications ◽  
Nonminimum Phase ◽  
Control Signals ◽  
Guaranteed Stability ◽  
The Cost ◽  
And Control

The Generalized Predictive Control law has been successfully applied in industrial applications but has limitations on nonminimum phase processes for some of the most obvious choices of cost-functions. The Weighted Predictive Control law proposed here is new and avoids these difficulties while maintaining a similar philosophy. It ensures guaranteed stability when the control weighting tends to zero, even if the system is nonminimum phase. The solution is relatively straightforward and is very suitable for process control applications. The cost-function includes dynamic weighting terms on both output and control signals so that robustness properties can be frequency shaped.

scholarly journals Specificity of SPC Procedures Application in Foundry in Aspect of Data Acquisition and Data Exploration

2012 ◽  
Vol 12 (4) ◽  
pp. 65-70 ◽  
Author(s):  
Z. Ignaszak ◽  
R. Sika
Keyword(s):  
Process Control ◽  
Data Acquisition ◽  
Statistical Process Control ◽  
Manufacturing Process ◽  
Data Exploration ◽  
Statistical Process ◽  
Control Procedures ◽  
And Control

Abstract The paper presents an analysis of SPC (Statistical Process Control) procedures usability in foundry engineering. The authors pay particular attention to the processes complexity and necessity of correct preparation of data acquisition procedures. Integration of SPC systems with existing IT solutions in area of aiding and assistance during the manufacturing process is important. For each particular foundry, methodology of selective SPC application needs to prepare for supervision and control of stability of manufacturing conditions, regarding specificity of data in particular “branches” of foundry production (Sands, Pouring, Metallurgy, Quality).

scholarly journals Evaluation  of  the  Design  of  the  Lending  Business Process  Control

2019 ◽  
Vol 6 (1) ◽  
pp. 89-95
Author(s):  
E. I. Barabanova ◽  
V. V. Dvoretskaya
Keyword(s):  
Process Control ◽  
Business Process ◽  
Application Process ◽  
Legal Entity ◽  
Analysis And Evaluation ◽  
Banking Business ◽  
Control Procedures ◽  
And Control

The paper presents the results of the analysis and evaluation of the design of the control over the main banking business process, namely the process of providing a loan to a legal entity, client of the bank. This study encompasses the analysis of the main risks accompanying the loan application process and control procedures which make it possible to minimize the existing critical risks and stabilize, in general, the operation of the lending mechanism. The results of the analysis of the business process allow the authors to propose certain methods for visualization and decomposition of the process.

Perencanaan Pengendalian Kualitas Produk Pakaian Bayi dengan Metode Six Sigma Pada CV. AGP

JEMAP ◽  
2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Albertus Reynaldo Kurniawan ◽  
Bayu Prestianto
Keyword(s):  
Quality Control ◽  
Continuous Improvement ◽  
Six Sigma ◽  
Screen Printing ◽  
Control Method ◽  
Operational Performance ◽  
Machine Maintenance ◽  
Quality Product ◽  
Break Time ◽  
And Control

Quality control becomes an important key for companies in suppressing the number of defective produced products. Six Sigma is a quality control method that aims to minimize defective products to the lowest point or achieve operational performance with a sigma value of 6 with only yielding 3.4 defective products of 1 million product. Stages of Six Sigma method starts from the DMAIC (Define, Measure, Analyze, Improve and Control) stages that help the company in improving quality and continuous improvement. Based on the results of research on baby clothes products, data in March 2018 the percentage of defective products produced reached 1.4% exceeding 1% tolerance limit, with a Sigma value of 4.14 meaning a possible defect product of 4033.39 opportunities per million products. In the pareto diagram there were 5 types of CTQ (Critical to Quality) such as oblique obras, blobor screen printing, there is a fabric / head cloth code on the final product, hollow fabric / thin fabric fiber, and dirty cloth. The factors caused quality problems such as Manpower, Materials, Environtment, and Machine. Suggestion for consideration of company improvement was continuous improvement on every existing quality problem like in Manpower factor namely improving comprehension, awareness of employees in producing quality product and improve employee's accuracy, Strength Quality Control and give break time. Materials by making the method of cutting the fabric head, the Machine by scheduling machine maintenance and the provision of needle containers at each employees desk sewing and better environtment by installing exhaust fan and renovating the production room.

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