Process Capability Analysis in Machining for Quality Improvement in Turning Operations

2012 ◽  
Vol 54 (2) ◽  
pp. 120-125 ◽  
Author(s):  
Funda Kahraman ◽  
Ugur Esme ◽  
Mustafa Kemal Kulekci ◽  
Yigit Kazancoglu
Keyword(s):  
Quality Improvement ◽  
Process Capability ◽  
Turning Operations ◽  
Process Capability Analysis ◽  
Capability Analysis

scholarly journals CAPABILITY INDICES FOR CONTROL CHARTS BASED ON REGRESSION MODELS

2015 ◽  
Vol 12 (2) ◽  
pp. 234
Author(s):  
Fernanda Siqueira Souza ◽  
Danilo Cuzzuol Pedrini ◽  
Carla Schwengber Ten Caten
Keyword(s):  
Quality Improvement ◽  
Control Charts ◽  
Regression Models ◽  
Process Capability ◽  
Process Capability Analysis ◽  
Capability Indices ◽  
Capability Analysis ◽  
Simulated Process

Process capability analysis is extremely important for optimization and quality improvement. It verifies whether the process under analysis is capable of producing items within engineering and customers’ specifications. The use of capability indices when assumptions are not satisfied leads to erroneous conclusions, compromising the study and analysis of the process, jeopardizing the fulfillment of requirements from management or external customers. Aiming at filling a gap identified in the literature, the main contributions of this work are: (i) proposition of capability indices for processes monitored through control charts based on regression models, for symmetric and asymmetric specifications; and (ii) comparison of the proposed indices with traditional capability indices through a simulated process.

Product Quality Improvement Based on Process Capability Analysis

2021 ◽  
pp. 589-595
Author(s):  
Na Zhao ◽  
Yumin He ◽  
Mingxin Zhang ◽  
Gaosheng Cui ◽  
Fuman Pan
Keyword(s):  
Quality Improvement ◽  
Product Quality ◽  
Process Capability ◽  
Process Capability Analysis ◽  
Capability Analysis ◽  
Product Quality Improvement

Applying Process Capability Analysis in Paint Industry

2015 ◽  
Vol 775 ◽  
pp. 464-467
Author(s):  
Chang Hsien Hsu ◽  
Chun Ming Yang ◽  
Chi Yuan Chen ◽  
Erin Wei Ling Ding
Keyword(s):  
Quality Improvement ◽  
Quality Management ◽  
Process Control ◽  
Ultraviolet Radiation ◽  
Building Materials ◽  
Process Capability ◽  
Poor Quality ◽  
Process Capability Analysis ◽  
Capability Analysis ◽  
Paint Industry

The study was made to the Cpm based Process Capability Analysis Chart Cpm (PCACpm) to determine the resistance to ultraviolet radiation poor quality building materials and paints of those characteristics. Finally, sort and identify the characteristics of substandard quality improvement district in order of priority. The proposed method in this study not only to further be extended to other paint products, but also for quality management and process control capabilities of the products.

scholarly journals Process Capability Analysis in the Manufacturing of Pet Bottles

2010 ◽  
Vol 3 (S1) ◽  
pp. 531-534
Author(s):  
Maja Rujnić-Sokele ◽  
Mladen Šercer ◽  
Damir Godec
Keyword(s):  
Process Capability ◽  
Process Capability Analysis ◽  
Pet Bottles ◽  
Capability Analysis

Modelling and process capability analysis of Focused Ion Beam

2009 ◽  
Author(s):  
Stoyan Stoyanov ◽  
Ying Kit Tang ◽  
Chris Bailey ◽  
Robert Evans ◽  
Silvia Marson ◽  
...  
Keyword(s):  
Focused Ion Beam ◽  
Ion Beam ◽  
Process Capability ◽  
Process Capability Analysis ◽  
Capability Analysis

scholarly journals Process Capability Analysis in a Polypropylene Bag Manufacturing Company

2021 ◽  
Vol 25 (8) ◽  
pp. 1477-1482
Author(s):  
O.F. Odeyinka ◽  
F.O. Ogunwolu ◽  
O.P. Popoola ◽  
T.O. Oyedokun
Keyword(s):  
Control Charts ◽  
Process Capability ◽  
Production Plant ◽  
Specification Limit ◽  
Process Capability Analysis ◽  
Capability Analysis ◽  
Vertically Aligned ◽  
Lower Specification Limit ◽  
And Control

Process capability analysis combines statistical tools and control charts with good engineering judgment to interpret and analyze the data representing a process. This work analyzes the process capability of a polypropylene bag producing company. The case study organization uses two plants for production and data was collected over a period of nine months for this study. Analysis showed that the output spread of plant 1 was greater than the specification interval spread which implies poor capability. There are non-conforming parts below the Lower Specification Limit (LSL: 500,000 metres) and above the Upper Specification Limit (USL: 600,000 metres) and that the output requires improvement. Similarly, the capability analysis of plant 2 shows that the overall output spread is greater than the specification interval spread (poor capability). The output centre in the specification and overall interval are vertically aligned, thus specifying that the output from plant 2 is also process centered and requires improvement. Recommendations were made to improve the outputs from each production plant.

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