scholarly journals Product Quality Control Analysis with Statistical Process Control (SPC) Method in Weaving Section (Case Study PT.I)

2021 ◽  
Vol 2 (3) ◽  
pp. 86-92
Author(s):  
Yusita Attaqwa ◽  
Aqidatun Hamidiyah ◽  
Firman Ardiansyah Ekoanindyo
Keyword(s):  
Control Chart ◽  
Raw Materials ◽  
Control Analysis ◽  
Product Quality Control ◽  
Statistical Process ◽  
Quality Control Analysis ◽  
Fishbone Diagram ◽  
A Company ◽  
Control Limits

Abstract - PT.I is a company that produces synthetic rattan furniture on an export scale. The various products at PT.I are an attraction for consumers, such as classic and modern weaving models. However, the number of defects produced is higher than the tolerance limit company. Based on data from the weaving section, it shows that there are 5 types of defects that are not in accordance with the standards and quality that have been determined by the company. The purpose of this study is to identify the types of defects that often occur in PT. I and identify the main factors causing product defects using the SPC method. The seven tools consist of a check sheet, histogram, stratification, scatter diagram, p control chart, Pareto diagram, and fishbone diagram. The results showed that the number of defects in October and November exceeded the limit set by the company. The highest level of disability occurred in October. The higher the number of production, the higher the number of product defects. Based on the results of the p control chart, it can be seen that the product is outside the control limits that it should have. The process is in a state of uncontrollability or is still experiencing deviations. To suppress or reduce the number of product defects that occur in production, 3 types of dominant defects can be applied, namely the woven model (254 units), loose woven (122 units), and nail-looking woven (119 units). Factors causing defects in production are derived from human factors/workers, methods, materials/raw materials and work environment.

scholarly journals ANALISIS PENGENDALIAN KUALITAS PRODUK KORAN PADA PT. RADAR SULTENG MEMBANGUN DI KOTA PALU

2020 ◽  
Vol 5 (3) ◽  
pp. 287-297
Author(s):  
Zahro’in Nitafiyah ◽  
Saharuddin Kaseng ◽  
Syamsuddin Syamsuddin
Keyword(s):  
Quality Control ◽  
Product Quality ◽  
Control Chart ◽  
Control Process ◽  
Control Analysis ◽  
Statistical Tools ◽  
Product Quality Control ◽  
Quality Control Analysis ◽  
Quality Control Process ◽  
Quality Control Chart

This study aims to determine how the implementation of quality control using statistical aids is useful in an effort to control the level of product damage in the company. Quality control analysis is carried out using statistical tools in the form of check sheets and p control maps. Check sheets are used to present data to make it easier to understand data for the purposes of subsequent analysis. P control maps are used to monitor damaged products whether they are still in control or not. The results of the P control chart analysis show that the process has been carried out well. This can be seen in the final product quality control chart with the final number of CL values showing 0.0049, UCL 0.0091, LCL 0.0007 with a proportion of 0.0050 defects which means that the quality control process is within controlled limits because the value of the defect proportion is smaller than the UCL value. Penelitian ini bertujuan untuk mengetahui bagaimana pelaksanaan pengendalian kualitas menggunakan alat bantu statistik bermanfaat dalam upaya mengendalikan tingkat kerusakan produk di perusahaan. Analisis pengendalian kualitas dilakukan menggunakan alat bantu statistik berupa check sheet dan peta kendali p. Check sheet digunakan untuk menyajikan data agar memudahkan dalam memahami data untuk keperluan analisis selanjutnya. Peta kendali p digunakan untuk memonitor produk yang rusak apakah masih berada dalam kendali atau tidak. Hasil analisis peta kendali p menunjukkan bahwa proses sudah terlaksana dengan baik. Hal ini dapat dilihat pada grafik kendali kualitas produk akhir dengan jumlah akhir nilai CL menunjukkan 0.0049, UCL 0.0091, LCL 0.0007 dengan proporsi cacat 0.0050 yang berarti proses pengendalian kualitas berada dalam batas terkendali karena nilai proporsi cacat lebih kecil dari nilai UCL.

SURVEILLANCE OF DIABETES PREVALENCE RATE THROUGH THE DEVELOPMENT OF A MARKOV-BASED CONTROL CHART

2012 ◽  
Vol 12 (04) ◽  
pp. 1250083
Author(s):  
PERSHANG DOKOUHAKI ◽  
RASSOUL NOOROSSANA
Keyword(s):  
Control Chart ◽  
Control Charts ◽  
High Performance ◽  
Discrete Data ◽  
Correlated Data ◽  
Statistical Process ◽  
Control Charting ◽  
Attribute Quality ◽  
Related Process

In the field of statistical process control (SPC), usually two issues are addressed; the variables and the attribute quality characteristics control charting. Focusing on discrete data generated from a process to be monitored, attributes control charts would be useful. The discrete data could be classified into two categories; the independent and auto-correlated data. Regarding the independence in the sequence of discrete data, the typical Shewhart-based control charts, such as p-chart and np-chart would be effective enough to monitor the related process. But considering auto-correlation in the sequence of the data, such control charts would not workanymore. In this paper, considering the auto-correlated sequence of X1, X2,…, Xt,… as the sequence of zeros or ones, we have developed a control chart based on a two-state Markov model. This control chart is compared with the previously developed charts in terms of the average number of observations (ANOS) measure. In addition, a case study related to the diabetic people is investigated to demonstrate the applicability and high performance of the developed chart.

scholarly journals Statistical process control and CAQ systems as a tools assuring quality in the automotive industry

2019 ◽  
Vol 2 (1) ◽  
pp. 336-344
Author(s):  
Łukasz Wiecha ◽  
Grzegorz Ćwikła
Keyword(s):  
Quality Management ◽  
Process Control ◽  
Statistical Process Control ◽  
Automotive Industry ◽  
Management System ◽  
Quality Management System ◽  
Statistical Process ◽  
Assurance System ◽  
A Company

Abstract The aim of the article is to present the case study of implementation of the example CAQ system, which allows to meet the requirements of IATF 16949:2016 and the VDA 6.1 standards in the field of statistical process control (SPC). The foundations of the CAQ systems concept and their specific requirements, especially for companies operating in the automotive industry, for which modern CAQ tools are necessary, in the described case based on the LEAN-QS program, are presented. The article presents the observations and results of the analysis of the operation of the quality assurance system in a company that is a supplier of car parts. One of the modules of the LEAN-QS program was implemented there, which makes it possible to meet the requirements of a certified quality management system. The effectiveness of the presented tool was demonstrated, allowing to meet industry requirements while minimizing resources necessary for supervision and proper implementation of the quality management system process, which in this case is the SPC.

Economic design of x-bar control chart under hybrid maintenance policy

2018 ◽  
Vol 24 (3) ◽  
pp. 331-344
Author(s):  
Xiaomei Yang ◽  
Jianchao Zeng
Keyword(s):  
Product Quality ◽  
Control Chart ◽  
Design Methodology ◽  
Maintenance Policy ◽  
Product Quality Control ◽  
Statistical Process ◽  
Content Type ◽  
Machine Maintenance ◽  
Monitoring Result ◽  
Degradation State

Purpose According to the relevance of product quality and machine degradation state, a hybrid maintenance policy is designed. The paper aims to discuss this issue. Design/methodology/approach Product quality control and machine maintenance are considered simultaneously in this policy. Based on this policy, the economic model of x-bar control chart is proposed using statistical process control and renewal reward theory. Findings This model is solved by genetic algorithm and the experimental results validated its feasibility. Originality/value In this model, the four corresponding relationship, which is between product quality monitoring result and machine degradation state, is analyzed.

Cleaner Production Associated with Financial and Environmental Benefits: A Case Study on Automotive Industry

2013 ◽  
Vol 845 ◽  
pp. 873-877 ◽  
Author(s):  
Geraldo C. Oliveira Neto ◽  
Silvio M. Souza ◽  
Elesandro A. Baptista
Keyword(s):  
Production Process ◽  
Automotive Industry ◽  
Raw Materials ◽  
Environmental Issues ◽  
Economic Benefits ◽  
Cleaner Production ◽  
Environmental Benefits ◽  
Financial Gain ◽  
A Company

The Cleaner Production implementation has been expanding significantly in Brazil and there is a strong tendency that companies start to care about environmental issues, such as: input reduction, production process less aggressive to the environment, among other factors inherent to manufacturing process. This paper presents a case study conducted in a company that operates in the field of automotive industry, more specifically in the manufacture of gears for transmissions and diesel engines. The main aims of this research are analyze a machining line focusing on Cleaner Production indicators and evaluate the environmental and economic benefits using the method Material Intensity Factor. The results showed that the company had both environmental benefits and financial gains due to the reduction of raw materials by means of replaced or eliminated material from the production process. The relevant aspect of this study is the possibility of financial gain associated with environmental gains and benefits by means of incremental changes in the production system.

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