scholarly journals Pengendalian Kualitas Produk Dengan Menggunakan Metode SQC dan HRA Guna Meningkatkan Hasil Produksi Tahu di IKM H. Musauwimin

2019 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Koyor Rujianto ◽  
Hana Catur Wahyuni
Keyword(s):  
Quality Control ◽  
Production Process ◽  
Manufacturing Industry ◽  
Employee Performance ◽  
Reliability Assessment ◽  
Statistical Quality Control ◽  
Surface Type ◽  
A Value ◽  
Increase Productivity ◽  
Data Adequacy

Small and Medium Industries (IKM) H.Musauwimin is a manufacturing industry in the field of tofu production. In the production process there are still frequent product defects, including coarse tofu, tofu surface torn, soft texture, and faded color. For this reason, we need a way to minimize the possibility of product defects. The objectives of this study are (1) Identifying disability factors using the Statistical Quality Control (SQC) method, (2) Improving employee performance performance using the Human Reliability Assessment (HRA) method, (3) Minimizing product defects in the production process so as to increase productivity. The results of this study are (1) of the four types of rejects for the biggest 3 months in tearing surface type with a percentage of 46% of all rejects (2) By testing the adequacy of the data using the SQC method in the production process for 3 months then sample we tested a total of 284. From the results of the data adequacy test data obtained a value of 7,289, so the number of samples is larger than the sample that should be. (3) From the results of measuring employee performance using the HRA method. The biggest HEP value is the type of Possible Error. The operator only estimates and there is no standard in mixing vinegar acid with the filtrate. With an HEP value of 0.48. So this factor is the most dominant cause of disability and must be corrected immediately.

scholarly journals Integration of Statistical Quality Control (SQC) and Fault Tree Analysis (FTA) in the quality control of resina colophonium production in Company X

2021 ◽  
Vol 924 (1) ◽  
pp. 012062
Author(s):  
A L Rucitra ◽  
A U F Amna
Keyword(s):  
Quality Control ◽  
Production Process ◽  
Control Method ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Statistical Quality Control ◽  
Control Analysis ◽  
Tree Analysis ◽  
Statistical Quality ◽  
A Value

Abstract Resina colophonium is a product that is produced from the processing of pine sap. This product is widely used for adhesives, additives for beauty products and mixtures of paints and varnishes. One of the companies engaged in the production of resina colophonium is Company X. Production process is an important aspect of the company, so any problems must be avoided to eliminate product defects. One way that can be done to avoid problems in the production process is to carry out proper quality control. The purpose of this study was to analyze the quality control of the production process at Company X. The quality control method used is the integration of the Statistical Quality Control (SQC) method to determine the frequency of problems and Fault Tree Analysis (FTA) to complete identification by looking for the causes of these problems so that problem did not repeat. Based on the results of the quality control analysis, it is found that the most serious problem that affects the quality of the production process lies in the labor aspect with a value number is 38.46% and the root of the potential cause is the number of workers who are not following the current work.

scholarly journals ANALISIS SISTEM PENGAWASAN KUALITAS PRODUK PADA PT INDUSTRI SANDANG NUSANTARA UNIT PATAL SECANG DI MAGELANG JAWA TENGAH

2014 ◽  
Vol 5 (2) ◽  
Author(s):  
Listiani Listiani
Keyword(s):  
Quality Control ◽  
Control System ◽  
Production Process ◽  
Raw Materials ◽  
Employee Performance ◽  
Fish Bone ◽  
Quality Control System ◽  
Observation Data ◽  
And Control

This research is aimed to determine the quality control system of production process in PT Industri Sandang Nusantara unit Patal Secang, measure the efectivity of quality control system by using control P-Chart and determine factors that cause defect product. This research is explorative descriptive by case study method. Data used in this research is the procedure of production process and the number of defect product. Product used in this company is  thread R30/1 UW and R 40/1 UW PT Industri Sandang Nusantara Unit Patal Secang in 24 periods of production between April – Mei 2006. Data is collected by interview, documentation, and observation. Data is analyzed by control p-chart and fish bone diagram. The conclusion of this research are: (1) The quality control system which is consists of controlling raw materials, production process and final product is appropriate with the company’s standard; (2) the number of defect product R 30/1 UW is 26.956 bale with the average 0.0167; Control P Chart shows that there are three periods which are out of control. They are in April 30, Mei 5 and 21, 2006. (3) The number of final product R 40/1 UW is 2159 bale with the average 0.0214; control p-chart shows that there are tw periods which are out of control. They are ini Mei 6 and Mei 12, 2006. (4) Factors that cause defect product are obsolete machines, employee performance, control system, and raw materials. Based on that condition, management should impove the controlling of machines, improve motivation and commitment of the employee, improve the method of inspection and control the quality of raw materials.

scholarly journals Reliability Assessment and Study of Quality Control Tools on Intermixer and Dump Mill of a Tyre Manufacturing Industry

2018 ◽  
Vol 144 ◽  
pp. 05001
Author(s):  
M. Prashanth Pai ◽  
C. G. Ramachandra ◽  
T. R. Srinivas ◽  
M. J. Raghavendra
Keyword(s):  
Quality Control ◽  
Manufacturing Industry ◽  
Reliability Assessment

scholarly journals Minimize Defects in 5 Liters Jerry Cans by Using Statistical Quality Control and Root Cause Analysis

2021 ◽  
Vol 4 (2) ◽  
pp. 51-63
Author(s):  
Bayu Bisma Nanda ◽  
Wiwik Sulistiyowati
Keyword(s):  
Quality Control ◽  
Production Process ◽  
Control Chart ◽  
Root Cause Analysis ◽  
Statistical Quality Control ◽  
Cause Analysis ◽  
Household Appliances ◽  
Cumulative Percentage ◽  
Statistical Quality ◽  
Root Cause

PT. DS2 is one of the producers of household appliances, kitchen utensils, and children's toys to bottles and jerry cans, to produce 5 liters of jerry using 2 Blow Molding machines that can produce an average jerry of 6750 / plastic jerry per day. In the production process there are defects found in 5 liter jerry products. This study aims to determine the cause of defect, what factors cause defect. Method used in this research is SQC and RCA in an effort to determine the defect in the 5 liter jerry production process. From the results of research that has been done, the highest value of disability is PL bloom defect with 1686 pcs with a cumulative percentage of 41%. Based on the analysis using the control p chart that all percentages of defective pruduct are still in the control chart and declared safe.

Reducing Bubble Defect on the Outsole Production Process in the Footwear Manufacturing Industry

2014 ◽  
Vol 988 ◽  
pp. 759-763
Author(s):  
Methinee Watcharaphassakorn ◽  
Prasad K.D.V. Yarlagadda
Keyword(s):  
Quality Control ◽  
Production Process ◽  
Six Sigma ◽  
Production Cost ◽  
Manufacturing Industry ◽  
Relevant Literature ◽  
Experimental Studies ◽  
Process Quality ◽  
Mould Temperature ◽  
Significant Factors

The purpose of this study is to discover the significant factors causing the bubble defect on the outsoles manufactured by the Case Company. The bubble defect occurs approximately 1.5 per cent of the time or in 36 pairs per day. To understand this problem, experimental studies are undertaken to identify various factors such as injector temperature, mould temperature; that affects the production of waste. The work presented in this paper comprises a review of the relevant literature on the Six Sigma DMAIC improvement process, quality control tools, and the design of the experiments. After the experimentation following the Six Sigma process, the results showed that the defect occurred in approximately 0.5 per cent of the products or in 12 pairs per day; this decreased the production cost from 6,120 AUD per month to 2,040 AUD per month. This research aimed to reduce the amount of waste in men’s flat outsoles. Hence, the outcome of research presented in this paper should be used as a guide for applying the appropriate process for each type of outsole.

scholarly journals Efforts To Reduce Downgrade Of Steel Pipes In The Production Process Using The HEART Method

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Irfan Widya Julianto ◽  
Hana Catur Wahyuni
Keyword(s):  
Production Process ◽  
Human Error ◽  
Reliability Assessment ◽  
Error Assessment ◽  
Steel Pipes ◽  
A Value ◽  
A Company ◽  
Human Error Probability ◽  
And Task

Pt X is a company that produces steel pipe of various shapes and size. In the production procces not only using machines but also using humans as operators. So in this case humans play an important role in maintaining the quality of production. The purpose of this study is to analyze the human error probability with  Human Error Assessment and Reduction Technique method (HEART). HEART is a method designed as a fast and simple human reliability assessment in quantifying the risk of human error. From this research, it was found that 3 tasks had a high HEP value which caused the decline in pipe quality during the production process, namely task 3.2, 4.1 and task 3.4. Which has the highest HEP value on task 3.2, namely setting the machine with a value of 0,7680. The cause is due to the lack of operator expertice and the center roll was not carried out when installing it, so that training is needed to increase operator expertice.

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