scholarly journals Pengendalian Mutu Pada Proses Produksi Di Tiga Usaha Kecil Menengah Tahu Kabupaten Bogor

2016 ◽  
Vol 4 (2) ◽  
pp. 112
Author(s):  
Devi Sonalia ◽  
Musa Hubeis

<p><em>Today the growth of Small and Medium Enterprises (SMEs) is increasing significantly along with the rise in competitiveness in this field. Accordingly entrepreneurs who want to get into the competition and do not want to be left behind by other SMEs in the business field have to pay attention to the quality of their product. The purpose of this study are: (1) to analyze the quality control (QC) on the production process in SMEs of Tofu (soybean cake) as Tahu  Bambu, Tahu Bandung Ashor and Tahu Bandung; (2) to  identify the factors which cause damage of Tofu as Tahu Bambu, Tahu Bandung Ashor and Tahu Bandung; (3) to identify the most influential factor affecting  the quality  of Tofu as Tahu Bambu, Tahu Bandung Ashor and Tahu Bandung; and (4) to assess the QC on the production process in the above three unit. The data used in this study were primary and secondary data. Primary data were obtained through direct observation and interviews with the SMEs, while the secondary data were taken from the internet and references such as books, journals and theses. Analysis tool used were Pareto Diagram, Cause and Effect Diagram and Control Chart. It is from Cause-Effect diagram that the factors affecting damage in three SMEs of Tahu were revealed, i.e human, raw materials, machines and tools, methods and environment with the main cause of most influence through analysis Pareto diagram is one piece. Quality control of the SMEs Tahu Bambu and SMEs Tahu Bandung  analyzed using by p Control Charts indicated that they were controlled.</em><strong><em></em></strong></p><p><em>Keywords: </em><em>Quality controls, Cause and effect diagram, Pareto chart, Control chart</em><strong></strong></p>

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Suharto Suharto ◽  

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


2011 ◽  
Vol 314-316 ◽  
pp. 2162-2167
Author(s):  
Yun Liu ◽  
Bin Shi Xu ◽  
Pei Jing Shi ◽  
Bo Hai Liu

The quality of remanufacturing products, which is always restricting the development of remanufacturing industry, is one of sixty-four-dollar questions. By detecting the cores, process control in remanufacturing production and certificating remanufacturing products, quality control of remanufacturing products is studied. Because of cores different in original states, remanufacturing is in low-volume on the whole. Based on Bayesian posterior analysis, the paper improves the control chart and uses the previous data to monitor the production process. Finally, some advances are given to remanufacturing product certification.


2017 ◽  
Vol 7 (1) ◽  
pp. 15-22 ◽  
Author(s):  
Muhammad Syarif Hidayatullah Elmas

Quality Control is an activity (company management) to maintain and navigate to product quality (and) services companies can be maintained as planned. Quality Control used the company to minimize failed products using methods of Statistical Quality Control (SQC) so that the company can meet the quality products that have been specified businesses and consumers are satisfied in consuming the product. The purpose of that will be achieved in this research is to determine the method of Statistical Quality Control (SQC) with tekhnik control chart and diagram of cause and effect applied the company Bakery Barokah Bakery in quality control to minimize the product failed. Tekhnik data collection that is used is a library research and field research, while data analysis tool  that  is  used control  chart and  diagram  of  cause  and  effect. The  results  of  the  analysis  of control charts shows that the number of products that are examined as much as 27.710 units, the average of 0,099 product damage or 9.9%. Limitations: UCL supervision of 0,1161 or 11.61%, LCL of 0,0819 or 8,12%. Quality control on  the Bakery Barokah Bakery is  good because the  number of failed products are  still within the boundaries of fair is located between UCL and LCL. While the results from the diagram for result (fish bones), the main factor the causes of the failure of the products of bread in the Bakery Barokah Bakery namely human factors. Where people fail in the making of the bread products. So required training to minimize failed products that occurred caused by human factors.


2020 ◽  
Vol 8 ◽  
pp. 428-436
Author(s):  
Isna Zulfa Azmi ◽  
Oktora Yogi Sari

The increasing number of bag factories throughout Indonesia that have well-known brands and every manufacturer is required to provide products of good quality. Poor product quality will cause consumers to move to other similar products. So in the production of bags, the thing that must be considered by the company is the quality of its products. In this study the authors aim to analyze quality control in a production process and identify several factors that cause disability in the product, PT. MAG is a bag company that is demanded to control the quality of the production process. This study uses a six sigma analysis tool consisting of five steps, namely using the DMAIC method (Define, Measure, Analyze, Improve, and Control). Based on the results of the study there are three types of disabilities in the production process, including cutting, zippers and broken bag straps with an average sigma value of 2.48 with a DPMO value of 20256.92. Factors affecting the production process are human, machine, environment, equipment, raw materials, and methods. In this case the company can use the Six Sigma method because it is still in the medium category.


KREATOR ◽  
2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Riky Rusdianto ◽  
Anton Hadiwibowo ◽  
Mukhyidin Djaiz

The process of controlling the quality of the packaging mold in this final project aims to determine the factors that must be considered, carry out the control process and perform problem solving using a fishbone chart cause and effect diagram. To achieve good print quality, it is necessary to know the problem factors that can affect print quality. This final project focuses on the process of controlling the packaging mold for Aice products. This control process is carried out from the process of icoming the raw materials to the out going of the finished product. This writing uses a descriptive method, which is a writing method that describes and describes the quality control of Aice's product packaging prints. Methods were collected from literature study and observation at PT. Temprina Media Grafika Packaging Bekasi about 3 months. Measurements in quality control use a check list form, color range and cause and effect diagrams fishbone chart. The results of this final project show that in the process of controlling the quality of a good packaging mold, it is necessary to pay attention to factors that can affect quality such as human, material, method, machine and environment. The control process is carried out in several stages, namely control of raw materials, control of the production process, sampling of packaged printed products, controlling the finished product, then solving problems using a fishbone chart cause and effect diagram. To maintain the quality of the products produced, it is necessary to add supporting components in the process of controlling the quality of the mold, increasing optimization of machine maintenance and increasing the skills of human resources. Keywords— Control, print quality, descriptive, fishbone chart


2021 ◽  
Vol 10 (2) ◽  
pp. 85
Author(s):  
Winona Valeria Siregar ◽  
M. Nur Ghoyatul Amin

Red snappers are fishery commodities which have high market values. Raw materials of red snappers are important elements which determine the quality of the final products. Therefore, an enhancement of raw materials quality should be conducted through quality supervision and examination when the raw materials are retrieved, stored, and about to enter production process. The aim of this fieldwork practice is to find out the raw materials quality control on red snapper freezing process in PT. Tridaya Jaya Manunggal Pasuruan, East Java. The data taken consists of primary and secondary data which are processed descriptively. Data collection techniques through observation, interviews, active participation and literature review. PT. Tridaya Jaya Manunggal has implemented quality control on production process, starting from raw materials retrieval until these raw materials become final products. The quality control of raw red snappers were done in accordance with the quality control procedures which are plan, do, check, and action. The results of implementing quality control which were executed with organoleptic examination, temperature, Total Volatile Base (TVB), microbiology, and heavy metals on raw red snappers. Raw materials which didn’t meet the required standard were rejected, and then they were processed to be second grade products.


2020 ◽  
Vol 9 (1) ◽  
pp. 87-97
Author(s):  
Nathasa Erdya Kristy ◽  
Mustafid Mustafid ◽  
Sudarno Sudarno

In quality assurance of hexagonal paving block products, quality control is needed so the products that produced are in accordance with the specified standards. Quality control carried out involves two interconnected quality characteristics, that is thickness and weight of hexagonal paving blocks, so multivariate control chart is used. Improved Generalized Variance control chart is a tool used to control process variability in multivariate manner. Variability needs to be controlled because of in a production process, sometimes there are variabilities that caused by engine problems, operator errors, and deffect in raw materials that affect the process. The purpose of this study is to apply Improved Generalized Variance control chart in controlling the quality of hexagonal paving block products and calculating the capability of production process to meet the standards. Based on the assumption of multivariate normal distribution test, it can be seen that the data of quality characteristics of hexagonal paving blocks have multivariate distribution. While based on the correlation test between variables it can be concluded that the characteristics of the quality of thickness and weight correlate with each other. The result of the control using these control chart shows that the process is statistically in control. The results of process capability analysis show that the production process has been running according to the standard because the process capability index value is generated using a weighting of 0.5 for each quality characteristic that is 1.01517. Keywords: Paving Block, Quality Control, Variability, Improved Generalized Variance, Process Capability Analysis


Author(s):  
M. P. GADRE ◽  
R. N. RATTIHALLI

In a production process, when quality of the product depends on more than one characteristic, 'Multivariate Quality Control' (MQC) techniques are efficiently used. Many MQC techniques have been developed to control the multivariate variable processes, but no much work has been reported to control the multivariate attribute processes. In this article, to detect a change in the vector of fraction non-conforming, we develop 'Likelihood Ratio based Multi-Attribute Control Chart' (LR-MACC) using the exact joint distribution and the LR-test under multinomial setup. It is verified that, in some situations, LR-MACC is superior to the MNP chart proposed by Lu et al.7 When MACC gives a signal, the attributes responsible are not readily identifiable. Therefore, a procedure to detect the responsible attributes is also developed.


2020 ◽  
Vol 4 (1) ◽  
pp. 1-11
Author(s):  
Muhammad Ridwan ◽  
Anggriani Profita ◽  
Suwardi Gunawan

Badan Pengelola Usaha Universitas Mulawarman atau BPU Unmul membentuk unit-unit usaha sebagai unit pelaksana usaha pada bidang-bidang tertentu sesuai kebutuhan. Unit-unit usaha yang dibentuk BPU salah satunya yaitu produk air minum dalam kemasan (AMDK) dengan merek AMULA 330 ml. Metode pengolahan dan analisis data yang digunakan adalah Statistical Quality Control (SQC) dengan pendekatan control chart, flow chart, serta cause and effect diagram dan Analytical Hierarchy Process (AHP) untuk pengambilan keputusan strategi prioritas usulan perbaikan. diperoleh dua jenis cacat produk yaitu botol rusak dan suspensi padat pada material air yang masing-masing disebabkan oleh dua jenis faktor yaitu faktor manusia (man) dan metode (method) dengan rata-rata proporsi cacat yaitu 0,0339 atau 3,39%. Adapun rata-rata nilai UCL dan LCL masing-masing yaitu sebesar 0,1129 dan -0,0451 yang dapat dikatakan bahwa tidak adanya penyimpangan data dan dapat diindikasikan bahwa tidak ada permasalahan pada proses produksi dikarenakan proporsi produk cacat yang dihasilkan masih dalam nilai toleransi batas kendali UCL dan LCL. Adapun prioritas strategi yang memiliki bobot tertinggi adalah strategi usulan perbaikan membuat dan memberikan SOP proses produksi dan perawatan mesin yang benar dan aman kepada karyawan dengan bobot 0,430 atau 43%.


2018 ◽  
Vol 2 (2) ◽  
pp. 59
Author(s):  
Tio Prima Matondang ◽  
Muhammad Mujiya Ulkhaq

This study aims to demonstrate effectively application of the seven tools as one of the quality management tools to reduce product defects. A case study has been conducted in the production of white body at PT. XYZ, which is located in Semarang. The high percentage of defects is considered as one causes of not attaining the target of the company. Seven tools, which consist of check sheet, stratification, histogram, scatter diagram, control chart, Pareto chart, and cause-and-effect diagram, are used to analyze the causes of the defects. Based on data processing results, there are eight types of defects, namely: tobi, hage, burn back, crolling, saya boro, broken back stamp, hama kake, and nama kire. Recommendations for improvement have been proposed using 5W+1H analysis to improve the company's quality control performance and minimize product defects.


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