scholarly journals Predictive quality assurance of a linear accelerator based on the machine performance check application using statistical process control and ARIMA forecast modeling

2020 ◽  
Vol 21 (8) ◽  
pp. 73-82
Author(s):  
Wayo Puyati ◽  
Amnach Khawne ◽  
Michael Barnes ◽  
Benjamin Zwan ◽  
Peter Greer ◽  
...  
2006 ◽  
Vol 33 (6Part8) ◽  
pp. 2071-2071
Author(s):  
B Fang ◽  
J Shoale ◽  
T Pawlicki ◽  
A Boyer

2009 ◽  
Vol 15 (4) ◽  
pp. 331-343 ◽  
Author(s):  
Karine Gerard ◽  
Jean‐Pierre Grandhaye ◽  
Vincent Marchesi ◽  
Pierre Aletti ◽  
François Husson ◽  
...  

Author(s):  
Mohamad Solihudin

<p>PT. Surya Toto Indonesia Tbk. is one of the processing industry (manufacturing insudtry) with export and domestic market share. To keep the share, the company provides high quality assurance for products offered to consumers and the improvement of quality has always been the main point of fulfilling the production process. This study aims to determine what factors cause the occurrence of reject products are not standard sizes (UTS) and How can quality control with application approach Statitical Process Control (SPC) in machining section PT. Surya Toto Indonesia Tbk. to overcome reject nonstandard size (UTS). The results of this study indicate that the product quality control in machining section on the BNC-1machine, there are the highest reject percentage (11.80%) on part number S23059 with the highest type of rejection is not a standard size (uts) at a size of 9 ± 0,05mm. From the results of field observation and brainstorming, the factors that cause bad part (reject) is a factor of BNC-1 machines are old, worn collet locking bolt and fastener tool insert screws loose. The corrective action taken is to move the process of part number S23059 in production in BNA-DHY2 machine, after analysis process by the method of Statistical Process Control (SPC) concluded for capabilty process (CP) BNA-DHY2 machine excellent is 1,85.</p><p>Keywords: Quality assurance, manufacturing industry, quality control, Statistical Process Control</p>


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