Assessment of external defects at mechanical engineering enterprises

2021 ◽  
pp. 93-96
Author(s):  
Keyword(s):  
Quality Control ◽  
Mechanical Engineering ◽  
Pareto Chart ◽  
Preventive Actions ◽  
Quality Control Tool ◽  
Ranking Order ◽  
Constituent Elements ◽  
Control Tool

The methodology for calculating the constituent elements that form external defects in the manufacture of engineering products is considered. A classic quality control tool, a Pareto chart, is proposed to analyze the causes of defects and their cost. When testing the methodology on the example of the production of gearboxes, it was revealed that the number of defects has a different ranking order relative to the assessment of external losses. For the formation of corrective and preventive actions, it is recommended to use two diagrams at the same time. Keywords: external defect, losses, quality control tools, Pareto chart. [email protected]

scholarly journals Range probing as a quality control tool for CBCT based synthetic CTs: in vivo application for head and neck cancer patients

2021 ◽  
Author(s):  
Carmen Seller Oria ◽  
Adrian Thummerer ◽  
Jeffrey Free ◽  
Johannes A. Langendijk ◽  
Stefan Both ◽  
...  
Keyword(s):  
Quality Control ◽  
Head And Neck Cancer ◽  
Head And Neck ◽  
Cancer Patients ◽  
Neck Cancer ◽  
Quality Control Tool ◽  
Control Tool

scholarly journals Applying Ancestry and Sex Computation as a Quality Control Tool in Targeted Next-Generation Sequencing

2016 ◽  
Vol 145 (3) ◽  
pp. 308-315 ◽  
Author(s):  
Patrick C. Mathias ◽  
Emily H. Turner ◽  
Sheena M. Scroggins ◽  
Stephen J. Salipante ◽  
Noah G. Hoffman ◽  
...  
Keyword(s):  
Quality Control ◽  
Next Generation Sequencing ◽  
Next Generation ◽  
Targeted Next Generation Sequencing ◽  
Quality Control Tool ◽  
Generation Sequencing ◽  
Control Tool

scholarly journals ANALISIS KECACATAN KEMASAN PRODUK OKKY JELLY DRINK PERISA BLACKCURRANT SEBAGAI UPAYA PERBAIKAN KUALITAS DENGAN METODE DMAIC PADA PT. TRITEGUH MANUNGGAL SEJATI

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Suharto Suharto ◽  
Keyword(s):  
Quality Control ◽  
Production Process ◽  
Six Sigma ◽  
Cause And Effect ◽  
Sigma Level ◽  
Quality Control Tool ◽  
And Control ◽  
Cause And Effect Diagram ◽  
Control Tool

Abstract This study aims to determine and identify the causes of defects in the production process of PT. Triteguh Manunggal Sejati and know the level of sigma level. This research uses the six sigma method with the DMAIC approach as a quality control tool, which includes the Define, Measure, Analyze, Improve and Control stages. Based on this study the results obtained are the level of sigma level at PT.Triteguh Manunggal Sejati is 4.96, which means that in the stage of sigma level the company has not reached the level of six sigma levels because in the production process at PT.Triteguh Manunggal Sejati still has product defects in the production process not yet achieved zero defect. The causes of product defects are based on cause and effect diagrams namely lid / seal defects are leaky lid, broken lid, and tilted lid. Kata kunci : Defect, Six Sigma, DMAIC, cause and effect diagram

scholarly journals Assessment of a computerized quantitative quality control tool for whole slide images of kidney biopsies

2021 ◽  
Author(s):  
Yijiang Chen ◽  
Jarcy Zee ◽  
Abigail Smith ◽  
Catherine Jayapandian ◽  
Jeffrey Hodgin ◽  
...  
Keyword(s):  
Quality Control ◽  
Quality Control Tool ◽  
Control Tool ◽  
Whole Slide Images

Analysis of an industrial production suspension ofBacillus lentussubtilisin crystals by powder diffraction: a powerful quality-control tool

2014 ◽  
Vol 70 (4) ◽  
pp. 1115-1123 ◽  
Author(s):  
Christian G. Frankaer ◽  
Olga V. Moroz ◽  
Johan P. Turkenburg ◽  
Stein I. Aspmo ◽  
Majbritt Thymark ◽  
...  
Keyword(s):  
Quality Control ◽  
Single Crystals ◽  
Powder Diffraction ◽  
Unit Cell ◽  
Unit Cell Parameters ◽  
Space Group ◽  
X Ray ◽  
Cell Parameters ◽  
Quality Control Tool ◽  
Control Tool

A microcrystalline suspension ofBacillus lentussubtilisin (Savinase) produced during industrial large-scale production was analysed by X-ray powder diffraction (XRPD) and X-ray single-crystal diffraction (MX). XRPD established that the bulk microcrystal sample representative of the entire production suspension corresponded to space groupP212121, with unit-cell parametersa= 47.65,b= 62.43,c= 75.74 Å, equivalent to those for a known orthorhombic crystal form (PDB entry 1ndq). MX using synchrotron beamlines at the Diamond Light Source with beam dimensions of 20 × 20 µm was subsequently used to study the largest crystals present in the suspension, with diffraction data being collected from two single crystals (∼20 × 20 × 60 µm) to resolutions of 1.40 and 1.57 Å, respectively. Both structures also belonged to space groupP212121, but were quite distinct from the dominant form identified by XRPD, with unit-cell parametersa= 53.04,b = 57.55,c= 71.37 Å anda= 52.72,b= 57.13,c= 65.86 Å, respectively, and refined toR= 10.8% andRfree= 15.5% and toR= 14.1% andRfree= 18.0%, respectively. They are also different from any of the forms previously reported in the PDB. A controlled crystallization experiment with a highly purified Savinase sample allowed the growth of single crystals of the form identified by XRPD; their structure was solved and refined to a resolution of 1.17 Å with anRof 9.2% and anRfreeof 11.8%. Thus, there are at least three polymorphs present in the production suspension, albeit with the 1ndq-like microcrystals predominating. It is shown how the two techniques can provide invaluable and complementary information for such a production suspension and it is proposed that XRPD provides an excellent quality-control tool for such suspensions.

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