scholarly journals Quality Control Analysis With Lean Six Sigma Approach and Weighted Product Method (case study: XYZ Company)

2020 ◽  
Vol 1003 ◽  
pp. 012089
Author(s):  
Khawarita Siregar ◽  
Aulia Ishak ◽  
Sara Christin
Keyword(s):  
Quality Control ◽  
Six Sigma ◽  
Lean Six Sigma ◽  
Control Analysis ◽  
Quality Control Analysis ◽  
Product Method ◽  
Six Sigma Approach

A lean six sigma approach for improving university campus office moves

2019 ◽  
Vol 10 (4) ◽  
pp. 928-947 ◽  
Author(s):  
Jennifer Wheeler-Webb ◽  
Sandra L. Furterer
Keyword(s):  
Standard Deviation ◽  
Six Sigma ◽  
Lean Six Sigma ◽  
Similar Process ◽  
University Campus ◽  
Content Type ◽  
Control Methodology ◽  
Six Sigma Approach ◽  
Improvement Effort

Purpose The purpose of this study was to improve the quoting, scheduling, invoicing and paying for campus office moves at a university. The Lean Six Sigma project goal was to improve the campus office move process by making it less complicated, free-up program managers’ time and pay the vendor on time. Design/methodology/approach The team used the Lean Six Sigma Define-Measure-Analyze-Improve-Control methodology to improve the process. Findings The average time from the campus move to when the invoice was paid improved by 27%, with an improved median of 16%. The standard deviation was greatly reduced by 51%. The average invoiced date to paid date remained statistically the same, and the median increased from 20 to 30 days, due to a policy change to move the target from 20 to 30 days. The standard deviation of the invoice to paid date was greatly reduced by 38%. This was a successful project because the sponsors were on-board from the beginning and included the process owners in the improvement effort. Originality/value Other higher education institutions or other industry areas with a similar process can implement this methodology and processes outlined in this case study to improve efficiency and cost effectiveness and as a guide for improving other processes within institutions.

Inventory quality control in clinical engineering: A Lean Six Sigma approach

2012 ◽  
Author(s):  
A. P. S. Silva ◽  
J. M. Palermo ◽  
A. Gibertoni ◽  
J. A. Ferreira ◽  
R. M. A. Almeida ◽  
...  
Keyword(s):  
Quality Control ◽  
Six Sigma ◽  
Lean Six Sigma ◽  
Clinical Engineering ◽  
Six Sigma Approach

scholarly journals Clarisa Product Quality Control Using Methods Lean Six Sigma and Fmeca Method (Failure Mode And Effect Cricitality Analysis) (Case Study: Pt. Maspion Iii)

2021 ◽  
Vol 4 (1) ◽  
pp. 47-56
Author(s):  
Achmad Rifki Andriansyah ◽  
Wiwik Sulistyowati
Keyword(s):  
Quality Control ◽  
Production Process ◽  
Product Quality ◽  
Failure Mode ◽  
Six Sigma ◽  
Lean Six Sigma ◽  
Qualitative Approaches ◽  
Criticality Analysis ◽  
A Company

PT. Maspion III is a company engaged in household appliances products, In carrying out its production process activities PT. Maspion III experiences various problems. Clarisa products are products that are found reject or defective. because it is caused by suboptimal quality control. This can be seen from the number of reject or defect products. This study aims to determine the type of waste that causes defects, determine the capability of the production process, and provide recommendations for improvement in the production process. The research methods are quantitative and qualitative approaches to lean six sigma and yang and FMECA (Failure Mode and Effect Criticality Analysis). lean six sigma is a systemic and systematic approach to identifying and eliminating waste. FMECA (Failure Mode and Effect Criticality Analysis) is used as a reference for companies to take corrective actions to identify product critical points in the production process. The results obtained are waste that affects product quality, namely waste defect, there are two highest defects, namely floi with a cumulative presentation of 51% and a breakage of 65%. In August the capability process is 1.5012, In September the capability process is 1.6818, In October the capability process is 1.3727, In November the capability process is 1.4275, In December the capability process is 1.4366

scholarly journals QUALITY CONTROL ANALYSIS WITH SIX SIGMA-DMAIC METHOD IN EFFORT REDUCE NUMBER OF SUGAR PRODUCTS AT PT. PG. GORONTALO

2018 ◽  
Vol 8 (2) ◽  
Author(s):  
Ida Ayu Nuh Kartini ◽  
Dwi Jayanthi Syarief
Keyword(s):  
Quality Control ◽  
Production Process ◽  
Six Sigma ◽  
Human Factor ◽  
Control Analysis ◽  
Quality Control Analysis ◽  
Data Production ◽  
Quality Of Products ◽  
Dmaic Method

Companies need to maintain and improve the quality of products derived by applying a good quality control, because quality is an important factor in improving satisfaction and loyalityas consumers, as well as PT. PG .Gorontalo ; Six Sigma methods that have high discipline can help develop and deliver near-perfect products. The purpose of this study was to determine how the value of sigma PT .PG . Gorontalo and what factors of product defects. In this analyzis , researchers took 3 months of data production and analyze the Six Sigma DMAIC method. Researchers examined / analyzed using a questionnaire and the report of production to help get the material of analyzis. From this research , it has been showed that the presence of defects of products in the production process of PT. PG. Gorontalo at 5.664, 72 DPMO. It is also known that the cause is the human factor , machines, methods, materials, and environment. Based on these results , we can conclude that the value of sigma PT. PG. Gorontalo is located at 4 to 4.5 sigma, the factor most dominant cause of disability is due to lack of proper vacuum pressure

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