scholarly journals Penerapan Metode Statistical Processing Control Untuk Menganalisis Pengendalian Kualitas Produk pada PT. Asera Tirta Posidonia

2018 ◽  
Author(s):  
DIDIHARYONO
Keyword(s):  
Quality Control ◽  
Quality Improvement ◽  
Quantitative Research ◽  
Raw Materials ◽  
Statistical Processing ◽  
Secondary Data ◽  
Control Limit ◽  
Quality Product ◽  
Fishbone Diagram ◽  
Processing Control

AbstractThis study aimed to analyze the application of Statistical Processing Control (SPC) methods in quality control an effort to reduce the number of defect products and identify of factors are causing the defect products manufactured by PT. Asera Tirta Posidonia. This research is a quantitative research with secondary data. Step analysis of the data using the SPC, namely (1) to collect data on production and the defect product (check sheet). (2) Make a histogram, (3) make a graph control u (u-chart). (4) Finding the causes of damage / disability by cause-effect diagram, and (5) make recommendations quality improvement. This research can be concluded with a look at the graph of control u (u-chart), which states that the quality product are beyond the control limit (statistics out control). It shows there are still points that are outside the control limit that an indication the process is in a state still experiencing irregularities. Analysis results of Fishbone diagram can be known factors causing damage in the process of production, which is derived from the factor workers, production machinery, work methods, materials / raw materials and environment. Therefore, all the causes of the damage can be fixed or prevention as early as possible in order to avoid greater damage.

scholarly journals Pengendalian Kualitas Kemasan Plastik Pouch Menggunakan Statistical Procces Control (SPC) di PT Incasi Raya Padang

2016 ◽  
Vol 13 (1) ◽  
pp. 518 ◽  
Author(s):  
Rendy Kaban
Keyword(s):  
Quality Control ◽  
Data Processing ◽  
Edible Oils ◽  
Plastic Material ◽  
Statistical Processing ◽  
Secondary Data ◽  
Causal Diagram ◽  
Processing Control ◽  
Control Limits

PT Incasi Raya is one of the major companies in Indonesia which produce edible oils. One of the stages in the production activities are packaging products. Used packaging made of plastic material, with the capacity and different type. Plastic pouch is one of the few types of packaging used in the packaging of edible oils. Quality packaging affects the distribution of production to the consumer. If the packaging is damaged, then the product can not be distributed to consumers. Therefore, the quality of the packaging must be kept for the successful marketing of the product. One way to implement a quality control methods Statistical Processing Control (SPC). The data used in this study is a secondary data provided by the company. Data collected is the number of production reject every month in packaging activities. The data processing of the data collection that is making control map p. The results of data processing show that many reject the production of packaging that are outside the control limits. Data that are outside the control limits indicates there is a problem in the quality control of the company. Of all types of packaging, only one or two months of production reject packs that are in the control limits. This suggests that the dominant packaging reject each month of production is outside the control limits. Reject the production was analyzed using a causal diagram. Factors influencing the presence reject packaging production is based on the analysis of human, machine, environment, materials, and methods within the company. After analyzing of the causal diagram, the data is revision. Making a map of the proposed p controls the data that has been revised is the end result of the data processing is done. Quality control companies are advised to be on the boundary control such as control map p recommended.Keyword : Reject Production, Packaging, Control Limits, Plastik, Edible OilsAbstrakPT Incasi Raya merupakan salah satu perusahaan besar di Indonesia yang memproduksi minyak goreng. Salah satu hal tahapan dalam kegiatan produksinya adalah pengemasan produk. Kemasan yang digunakan terbuat dari bahan plastik, dengan kapasitas dan jenis yang berbeda-beda. Plastik pouch merupakan salah satu dari beberapa jenis kemasan yang digunakan dalam pengemasan minyak goreng. Kualitas kemasan sangat berpengaruh terhadap pendistribusian hasil produksi kepada konsumen. Apabila kemasan mengalami kerusakan, maka produk tersebut tidak dapat didistribusikan kepada konsumen. Oleh karena itu, kualitas dari kemasan harus dijaga untuk keberhasilan pemasaran produk. Salah satu cara pengendalian kualitas menerapkan metode Statistical Processing Control (SPC). Data yang digunakan pada penelitian ini adalah data sekunder yang diberikan oleh perusahaan. Data yang dikumpulkan adalah jumlah reject produksi setiap bulan dalam kegiatan pengemasan. Pengolahan data dilakukan dari pengumpulan data yaitu pembuatan peta kontrol p. Hasil pengolahan data menunjukkan bahwa banyak kemasan reject produksi yang berada diluar batas kontrol. Data yang berada diluar batas kontrol menandakan terdapat masalah pada pengendalian kualitas perusahaan. Dari semua jenis kemasan, hanya satu atau dua bulan saja jumlah kemasan reject produksi yang berada dalam batas kontrol. Hal ini menunjukkan bahwa dominan tiap bulannya kemasan reject produksi berada diluar batas kontrol. Terjadinya reject produksi dianalisis menggunakan diagram sebab akibat. Faktorfaktor yang mempengaruhi adanya kemasan reject produksi berdasarkan analisis adalah manusia, mesin, lingkungan, material, dan metode dalam perusahaan. Setelah dilakukan analisis dengan diagram sebab akibat, dilakukan revisi data. Pembuatan peta kontrol p usulan dari data yang telah direvisi merupakan hasil akhir dari pengolahan data yang dilakukan. Pengendalian kualitas perusahaan disarankan berada pada batas kendali seperti peta kontrol p usulan.Kata Kunci : Reject Produksi, Kemasan, Batas Kontrol, Plastik, Minyak Goreng

scholarly journals PENERAPAN STATISTICAL QUALITY CONTROL (SQC) PADA PENGENDALIAN MUTU MINYAK TELON (STUDI KASUS DI PT.X)

AGROINTEK ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 72
Author(s):  
Andan Linggar Rucitra ◽  
S Fadiah
Keyword(s):  
Quality Control ◽  
Raw Materials ◽  
Control Process ◽  
Statistical Quality Control ◽  
Statistical Quality ◽  
Quality Control Process ◽  
Fishbone Diagram ◽  
Potential Factor ◽  
Measurement Of Success

<p><em>Telon oil is</em><em> one of </em><em> </em><em>the </em><em>traditional medicine in the form of </em><em> </em><em>liquid preparations that serves to provide a sense of warmth to the wearer. PT</em><em>.X</em><em> is one of the companies that produce</em><em> </em><em>telon</em><em> oil</em><em>.</em><em> To maintain</em><em> the quality of telon oil from PT.X</em><em> product</em><em>, required overall quality control that is starting from the quality control of raw materials, quality control process to the quality control of the final product. The purpose of this research is to know the application of Statistical Quality Control (SQC) in controlling the quality of telon oil in PT X. </em><em>F</em><em>inal product</em><em> quality</em><em> become one of the measurement of success of a process, so it needs a good quality control. SQC method used in this research is Pareto Diagram and Cause and Effect Diagram. Pareto diagram is a bar graph </em><em>that </em><em>show the problem based on the order of the number of occurrences of the most number of problems until the least happened. A causal diagram is often called a fishbone diagram, a tool for identifying potential causes of an effect or problem. The result of applying the method indicates that 80% defect is caused by unsuitable volume and on the incompatibility of Expired Date (ED) code. The damage is caused by several factors namely the method, labor, and machine while the most potential factor is the volume conformity to reduce the number of defect products.</em></p>

scholarly journals PRODUCT QUALITY CONTROL ANALYSIS USING STATISTICAL QUALITY CONTROL (SQC) ON MARINE WORKS IN BUSINESS AMPLANG SAMARINDA

2020 ◽  
Vol 6 (1) ◽  
pp. 70-77
Author(s):  
Silvia Maulida Arianti ◽  
Emy Rahmawati ◽  
RR Yulianti Prihatiningrum
Keyword(s):  
Quality Control ◽  
Product Quality ◽  
Control Charts ◽  
Quantitative Research ◽  
Quantitative Methods ◽  
Control Measures ◽  
Control Limit ◽  
Statistical Quality Control ◽  
Control Analysis ◽  
Statistical Quality

Purpose of the study: The objectives of this study are: (i) To analyze the quality control of the products applied to the amplang Karya Bahari business based on Statistical Quality Control (SQC) tools, (ii) To find out and analyze what factors cause product damage/disability amplang work at the Maritime business in Samarinda. Methodology: This research uses quantitative methods discretionary quantitative research method that is research that is used to Investigate, find, describe, and explain the quality or features of social influences that can’t be explained or Described measured through a quantitative approach. The operational definitions of this research are (i) Quality control processes, (ii) Quality control measures. Types and sources of the data the primary use of data Obtained directly from the object of research. Data collection techniques are (i) observation, (ii) interviews, (iii) documentation, (iv) laboratory tests. Analysis of the Data used are: (i) collecting the data (check sheet), (ii) a histogram, (iii) making control charts, (iv) the causal diagrams, (v) the proposed improvements. Main Findings:  The results of the study suggest that Maritime work is applied to the already on the limit of control. It can be seen at chart, upper control limit (UCL) of 1 and the lower control limit (LCL) of 0.3362 under controlled conditions or reasonable limits, but in reality, they are experiencing product damage or defect in the production of amplang processing. Novelty/Originality of this study: This study is expected to be an additional reference for studies in the field production related to analysis quality control (quality control) and product quality by using Statistics Quality Control. This study is expected to provide information for the company about procedure control in keeping a quality product that will be produced.

IMPROVEMENT OF QUALITY CONTROL SYSTEM FOR BRANDY PRODUCTS

2018 ◽  
Author(s):  
И.В. ОСЕЛЕДЦЕВА ◽  
Ю.Ф. ЯКУБА
Keyword(s):  
Quality Control ◽  
Control System ◽  
Raw Materials ◽  
Statistical Processing ◽  
Quality Control System ◽  
Volatile Impurity ◽  
Oak Wood ◽  
Quality Control Criteria ◽  
Cis Countries ◽  
Control Criteria

Усовершенствована система контроля качества коньячной продукции путем расширения перечня показателей контроля. Объектом исследований были коньяки и коньячные дистилляты, молодые и выдержанные от 1 года до 40 лет, выработанные в условиях разных географических зон стран СНГ и ЕС; опытные образцы дистиллятов на основе виноградного, яблочного и зернового сырья, образцы коньячных дистиллятов, выдержанных на дубовой клепке из древесины дуба кавказского и французского. С учетом результатов многолетних исследований обоснован выбор дополнительных показателей контроля качества коньячных дистиллятов и коньяков. Сформированы три группы критериев контроля качества: единичные летучие примесные компоненты состава, единичные экстрагируемые компоненты состава и блок расчетных критериев на основе соотношений концентраций компонентов состава. Статистическую обработку результатов исследований проводили с использованием компьютерной программы Statistica 6.0. Установлены 22 критериальных компонента состава, которые могут быть использованы в качестве единичных показателей контроля, и 8 расчетных показателей контроля качества, позволяющих подтверждать подлинность коньячной продукции и выявлять признаки фальсификации, оценивать соответствие использованного сырья заявленному наименованию и требуемым нормативам качества, обнаруживать использование запрещенных приемов на стадии переработки винограда и при проведении выдержки коньячных дистиллятов в контакте с древесиной дуба, а также нарушения в процессе дистилляции и факты внесения запрещенных добавок. The quality control system of cognac products by expanding the list of control indicators has been improved. The research materials were brandy and distillates young and mature, aged from 1 year to 40 years, developed under different geographical zones of the CIS countries and the EU; the test samples of the distillate on the basis of grape, Apple and grain raw materials, samples of cognac distillates aged on oak rivets from oak wood Caucasian and French. Taking into account the results of many years of research, the choice of additional indicators of quality control of brandy and distillates is justified. Three groups of quality control criteria: single volatile impurity components of the composition, single extractable components of the composition and a block of design criteria based on the ratio of the concentrations of the components of the composition – are formed. Statistical processing of the research results was performed using a computer program Statistica 6.0. 22 criteria components of the composition, which can be used as single indicators of control, and 8 calculated indicators of quality control, allowing to confirm the authenticity of brandy products and to identify signs of falsification, to assess the compliance of the used raw materials to the declared name and the required quality standards, to detect the use of prohibited methods at the stage of processing grapes and during the aging of distillates in contact with oak wood, as well as violations in the distillation process and the facts of introduction of prohibited additives, have been established.

scholarly journals ACHIEVING COMPETITIVE ADVANTAGE THROUGH PRACTICING TQM TOOLS IN PHARMACEUTICALS COMPANY

2014 ◽  
Vol 43 (2) ◽  
pp. 103-109
Author(s):  
Niamat Ullah Ibne Hossain ◽  
Farjana Nur ◽  
Md. Ahasan Habib
Keyword(s):  
Quality Assurance ◽  
Quality Improvement ◽  
Pharmaceutical Industry ◽  
Competitive Advantage ◽  
Pharmaceutical Company ◽  
Control Chart ◽  
Control Limit ◽  
Important Goal ◽  
Fishbone Diagram ◽  
Control Limits

In order to survive in a competitive market, improving quality and productivity of Product or processis a must for any company. And in case of pharmaceutical industry, effective quality assurance policyimplementation is the most important goal. The main objective of this paper is to apply the Total QualityManagement (TQM) tools in a pharmaceutical company and prove its advantage. Here Control Chart,Fishbone diagram, EWMA were used and the control limits were improved. This activity resulted in moreperfect control limit recommendations which actually capable of reducing the material cost. The TQMperspective views quality as the pivotal purpose of the organization. Present review attempts to furnish a wideoverview of the TQM tools leading to quality improvement of Pharmaceuticals Company.DOI: http://dx.doi.org/10.3329/jme.v43i2.17834

scholarly journals PENGENDALIAN KUALITAS PRODUK NPK PHONSKA DENGAN METODE STATISTICAL PROCESSING CONTROL PADA UNIT PRODUKSI 2A PT. PETROKIMIA GRESIK.

MANAJERIAL ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. 75
Author(s):  
Abdurrahman Faris Indriya Himawan ◽  
Muhammad Abidhin Al Habtsi
Keyword(s):  
Quality Control ◽  
Data Analysis ◽  
Data Collection ◽  
Control Method ◽  
Statistical Processing ◽  
Study Data ◽  
Analysis Techniques ◽  
Npk Fertilizer ◽  
Processing Control

This study aims to determine the quality control of Phonska NPK fertilizer using Statistical Processing Control method. Statistical Processing Control to analyze and identify quality deviations in Phonska NPK products. There were five people in this study. Data collection techniques using observation, interviews and documentation. Data analysis techniques using Statistical Processing Control. PT. Petrokimia Gresik has Phonska NPK fertilizer products whose production has deviations but can be overcome using the SPC method (Statistical Processing Control).

scholarly journals QUALITY CONTROL OF RAW MATERIALS FOR CANDIED CARICA USING P-CHART ANALYSIS AND FISHBONE DIAGRAM

2019 ◽  
Vol 17 (3) ◽  
pp. 416-425
Author(s):  
Miftah Aini Panjaitan ◽  
◽  
Any Suryantini ◽  
Jamhari Jamhari ◽  
◽  
...  
Keyword(s):  
Quality Control ◽  
Raw Materials ◽  
Fishbone Diagram

scholarly journals Quality Control of Raw Materials on Red Snapper (Lutjanus sp.) Freezing Process in PT. Tridaya Jaya Manunggal Pasuruan East Java

2021 ◽  
Vol 10 (2) ◽  
pp. 85
Author(s):  
Winona Valeria Siregar ◽  
M. Nur Ghoyatul Amin
Keyword(s):  
Quality Control ◽  
Production Process ◽  
Raw Materials ◽  
Secondary Data ◽  
Red Snapper ◽  
Second Grade ◽  
Freezing Process ◽  
Market Values ◽  
Control Procedures

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.

Surviving the aftermaths of natural disasters: the earthen vessels of Kerala, India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Devaki Vadakepat Menon ◽  
Vanaja Menon Vadakepat
Keyword(s):  
Natural Disasters ◽  
Quantitative Research ◽  
Raw Materials ◽  
Secondary Data ◽  
Sustainable Production ◽  
Environmentally Conscious ◽  
Content Type ◽  
Chain Analysis ◽  
Production And Consumption ◽  
Future Consumption

PurposeSince 2018, the two floods and droughts that struck Kerala's economy have threatened the state's sustainable earthen vessel production. Current studies allocate focus to the pottery industry's techno-social impacts and ethnography of the potter community; hence, there is a gap in understanding consumers, who are responsible for environmentally conscious behaviors, and their switch from earthen vessels to other materials adaptable to modern kitchens. This study aims to bridge gaps in understanding the reasons behind their demand shift and the challenges of earthenware consumption and production after the disasters.Design/methodology/approachThis quantitative research explored the perceptions of pottery producers and consumers in Kerala. The sample for the primary survey comprised 590 randomly selected consumers and one master artisan from each of Kerala's total of 44 registered pottery communities. Unpublished records provided the secondary data on production and sales.FindingsAn upward shift in the demand for earthen vessels after natural calamities is observed. Quality, availability and adaptability are consumer concerns. The Markov chain analysis predicts that future consumption of earthen vessels depends on improved marketing mix strategies. After natural disasters, persistent demand exists for earthen vessels, but sustainable production is challenged due to the deteriorating quality and shortage of clay along with the consequent increase in procurement costs of raw materials.Originality/valueAs the earthen vessel industry was affected by disasters very recently, this study contributes an immediate exploration of its sustainable production and consumption challenges.

scholarly journals Implementasi 4QC Tools Dan IOT Sebagai Pengendali Kegagalan Produk Usaha Batik Fendy, Klaten

2020 ◽  
Vol 2 (1) ◽  
pp. 14-26
Author(s):  
Lilia Pasca Riani ◽  
Arwan Nur Ramadhan
Keyword(s):  
Data Analysis ◽  
Ambient Temperature ◽  
Secondary Data ◽  
Control Limit ◽  
Analysis Method ◽  
Dominant Type ◽  
Central Java ◽  
Lower Control Limit ◽  
Total Product ◽  
Fishbone Diagram

The study was conducted to identify the types of product defects, monitor the production process, and map the causes of product defects in the Batik Fendy Klaten Business, Central Java. The analysis method is carried out in 4 stages, namely making a histogram, pareto diagram, analyzing the control map p, and mapping the cause of product defects with a fishbone diagram. Primary and secondary data analysis in the form of data on the number of production and the number of defective products from November 2018 to October 2019. The results showed that the torn cloth is a dominant type of disability with a percentage of 32% of the total product defects, depicting the control chart p there are 7 out of 12 observation periods occurred processes that exceed the lower control limit, namely in November, December 2018, May, September, and October 2019 are under the lower control limit, whereas in November 2018, February, March and April 2019 are above the upper control limit, identification of the causes is found carelessness, manual method of cutting, material not according to criteria, and hot ambient temperature galvalume.

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