scholarly journals The Application of Using Statistical Process Control (SPC) Tools : Research Issues and Literature Review

2021 ◽  
Vol 19 (2) ◽  
pp. 125
Author(s):  
Sarah Isniah ◽  
Humiras Hardi Purba
Keyword(s):  
Literature Review ◽  
Process Control ◽  
Statistical Process Control ◽  
Statistical Process ◽  
Research Issues

Research Issues and Ideas in Statistical Process Control

1999 ◽  
Vol 31 (4) ◽  
pp. 376-386 ◽  
Author(s):  
William H. Woodall ◽  
Douglas C. Montgomery
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Statistical Process ◽  
Research Issues

scholarly journals Implementation of statistical process control for quality control cycle in the various industry in Indonesia: A systematic literature review

2021 ◽  
Vol 13 (2) ◽  
pp. 194
Author(s):  
Hibarkah Kurnia ◽  
Setiawan Setiawan ◽  
Mohammad Hamsal
Keyword(s):  
Systematic Review ◽  
Quality Control ◽  
Literature Review ◽  
Process Control ◽  
Statistical Process Control ◽  
Systematic Literature Review ◽  
Statistical Process ◽  
Software Production ◽  
Research Questions ◽  
Production Software

A systematic literature review is a rigorous method of assessing and combining research results compared to the usual literature review, which consists of annotated bibliographies, a systematic review of the existing literature regarding specific research questions on a topic of interest. Statistical Process Control (SPC) is a well-established technique in a context that has recently been used in software production. Software production is not like manufacturing because it requires more human resources and machines, resulting in an item's one-time production. It is therefore essential to assess what SPC works in a software context. Thus, this consideration has motivated us to define and conduct an evaluation review to assess whether SPC is used effectively and genuinely Quality Control Cycle (QCC) in Indonesia's various industries. According to a systematic literature review process, an established protocol was revised and refined by the authors. This journal collection of journals has been used in various industries in Indonesia. We report our preliminary considerations and results in a systematic review on the SPC and find 30 journals collected as references for readers in making research journals related to SPC. Our products and first impressions are favorable. This journal collection can also make it easier for researchers to get the desired journal references. 

APPLICATION OF SPC AND GROWTH MODELS ON THE ECONOMIC TRAJECTORY OF THE LEATHER AND FOOTWEAR INDUSTRY

2020 ◽  
Author(s):  
Mario Lesina ◽  
Lovorka Gotal Dmitrovic
Keyword(s):  
Human Capital ◽  
Process Control ◽  
Statistical Process Control ◽  
Control Charts ◽  
Growth Models ◽  
Pearson Correlation ◽  
Small Companies ◽  
Statistical Process ◽  
Production Staff ◽  
Footwear Industry

The paper shows the relation among the number of small, medium and large companies in the leather and footwear industry in Croatia, as well as the relation among the number of their employees by means of the Spearman and Pearson correlation coefficient. The data were collected during 21 years. The warning zone and the risk zone were determined by means of the Statistical Process Control (SPC) for a certain number of small, medium and large companies in the leather and footwear industry in Croatia. Growth models, based on externalities, models based on research and development and the AK models were applied for the analysis of the obtained research results. The paper shows using the correlation coefficients that The relation between the number of large companies and their number of employees is the strongest, i.e. large companies have the best structured work places. The relation between the number of medium companies and the number of their employees is a bit weaker, while there is no relation in small companies. This is best described by growth models based on externalities, in which growth generates the increase in human capital, i.e. the growth of the level of knowledge and skills in the entire economy, but also deductively in companies on microeconomic level. These models also recognize the limit of accumulated knowledge after which growth may be expected. The absence of growth in small companies results from an insufficient level of human capital and failure to reach its limit level which could generate growth. According to Statistical Process Control (SPC), control charts, as well as regression models, it is clear that the most cost-effective investment is the investment into medium companies. The paper demonstrates the disadvantages in small, medium and large companies in the leather and footwear industry in Croatia. Small companies often emerge too quickly and disappear too easily owing to the employment of administrative staff instead of professional production staff. As the models emphasize, companies need to invest into their employees and employ good production staff. Investment and support to the medium companies not only strengthens the companies which have a well-arranged technological process and a good systematization of work places, but this also helps large companies, as there is a strong correlation between the number of medium and large companies.

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