scholarly journals Penerapan Quality Control pada Souvenir Logo PNP dengan Metode Box Plot dan Six Sigma

2021 ◽  
Vol 14 (2) ◽  
pp. 112-117
Author(s):  
Menhendry Menhendry ◽  
Alfian Alfian ◽  
Elvis Adril ◽  
Junaidi Junaidi ◽  
Zulhendri Zulhendri
Keyword(s):  
Data Processing ◽  
Six Sigma ◽  
Quality Level ◽  
Market Demand ◽  
Sigma Level ◽  
Weight Variation ◽  
Level Method ◽  
Box Plot

The quality of a product determines the level of market demand. This paper discusses the determination of the quality level of plastic molding with the sigma level method which uses the Box Plot to determine the desired quality limit. The purpose of this research is to determine the level of quality of product using statistics. The object of this research is to determine the weight variation of the souvenir of PNP logo with a weight indicator. The experiment were carried out on 200 samples taken at random.Then each sample is numbered from 1 to 200. Each sample is weighed carefully. The results obtained were processed using a box plot to obtain the numbered of rejected samples from 200 samples that were weighed. The result of data processing  obtained 19 reject products from 200 products tested. From this data there are 9,5% of products that do not meet the desired specifications. Furthermore, the sigma level is determined from the results of data processing using a box plot. DPMO of 9.5% is 95000 Defects per Milion Opportunities. The result of determining the sigma level is 2.8 Sigma.

scholarly journals Usulan Perbaikan Kualitas Proses Produksi Wafer Abon dengan Metode Six Sigma

2017 ◽  
Vol 10 (1) ◽  
Author(s):  
Riyan Riyan ◽  
Heksa Bekti Ariyono
Keyword(s):  
Quality Control ◽  
Data Processing ◽  
Six Sigma ◽  
System Approach ◽  
Food Industry ◽  
Sigma Level ◽  
Pressing Process ◽  
Fishbone Diagram ◽  
Snack Products

<p>This paper discusses a conducted research in the food industry with a variety of snack products such as bread, cream wafers, cookies, wafer sticks, chocolate, and dry cake. The company should always improve the quality of processes and products according to customer demands. Six Sigma method is expected to improve the quality of process and product in the company. Six Sigma is a quality system approach to be used in the industrialization function engaged in the manufacturing and services sectors. Generally, six sigma strategy utilizes DMAIC approach (Define-Measure-Analyze-Improve-Control). This research focused on product wafers abon, because it contributed a large number of defects. Moreover, this paper discusses two main processes:1. oven and cooling sheet process, 2. creaming and pressing process. The improvement is focused in the creaming and pressing process, because it presents 65% of defects. Based on the obtained data processing, COPQ for 1 month is Rp. 65,473,200, - and there are 3 priority CTQ’s in the issues, Pasta Tidak Rata (53.68%), Crashed Edge (16.29%), and Crack (16.12%). Results of capability process are 91.51% and sigma level of wafer abon product is 3.647628 sigma. An analysis has been done by brainstorming to find the cause of the defect and then arranged in a fishbone diagram and five why’s diagram. Proposed improvements including to create specification given standards for setup oven and creaming machine.</p><p>Keyword: Quality Control, Six Sigma, DMAIC</p>

scholarly journals Analisis Pengendalian Kualitas Air Minum dalam Kemasan Menggunakan Metode Six Sigma

2019 ◽  
Vol 5 (1) ◽  
pp. 17
Author(s):  
Wahyu Oktri Widyarto ◽  
Azirwan Firdaus ◽  
Aulia Kusumawati
Keyword(s):  
Drinking Water ◽  
Data Processing ◽  
Six Sigma ◽  
Bottled Drinking Water ◽  
Sigma Level ◽  
Baseline Performance ◽  
Dirty Water

Bottled drinking water is market with a variety of packaging, one of which is gallon packaging. Some of the problems that occur in the quality of the gallon are leaky gallons, broken gallons, dirty water, dirty bodies, and mossy gallons. This study aims to determine the company's baseline performance as seen from the value of Defect Per Million Opportunities (DPMO) and sigma level, identifying the causes of product defects. Discussions were carried out following DMAIC's steps on six sigma. Based on the results of data processing, it can see that the DPMO value is 662.46, and the sigma level is 4.84. This result can be the basis for the company to improve the performance of the quality of the products produced.

Applying Life Cycle Six Sigma in Tolerance Design Methodology

2012 ◽  
Vol 443-444 ◽  
pp. 881-887
Author(s):  
Jian Jun Wu ◽  
Yi Zhen Wang
Keyword(s):  
Life Cycle ◽  
Six Sigma ◽  
Life Cycle Cost ◽  
Product Life Cycle ◽  
Quality Characteristic ◽  
Quality Level ◽  
Manufacturing Cost ◽  
Tolerance Design ◽  
Product Life ◽  
Sigma Level

Setting of tolerances to meet a required specification of quality characteristic and keep low manufacturing cost is one of common problems in the process quality control. But generally traditional tolerance design only focus on cost of manufacturing, few consider product Life Cycle Cost. In these situations, to obtain a satisfactory six sigma quality level as well as keep lower life cycle total cost should be considered. This paper expands tolerance optimization based on the manufacturing cost to the product life cycle cost, which can improve product quality to the six sigma level and keep lower LCC simultaneously.

scholarly journals Physicochemical changes in cubiu fruits (Solanum sessiliflorum Dunal) at different ripening stages

2012 ◽  
Vol 32 (2) ◽  
pp. 250-254 ◽  
Author(s):  
Moacir Couto de Andrade Júnior ◽  
Jerusa Souza Andrade
Keyword(s):  
Maximum Level ◽  
Total Carotenoids ◽  
Physicochemical Changes ◽  
Ripening Stages ◽  
Calorie Content ◽  
Weight Variation ◽  
Technological Quality ◽  
Ripe Stage

Cubiu shrubs (Solanum sessiliflorum Dunal) have drawn the attention of researchers for their biological versatility (preferential heliophilous or facultative ombrophilous shrubs), their capacity to grow in upland or lowland areas, and the good technological quality of their fruits for the food industry. The aim of this study was to verify physicochemical changes in cubiu fruits during maturation. The fruits were harvested from the experimental station of olericulture of the Instituto Nacional de Pesquisas da Amazônia (INPA), Brazil. The analyses were performed in whole cubiu fruits (peel, pulp, and placenta) at four traditional ripening stages (green, turning, ripe, and fully ripe) for the determination of weight, moisture, total solids, total carotenoids, proteins, lipids, and ash. Cubiu fruits showed large weight variation, with amodal distribution. The ripe stage was critical to maintain moisture, and from that stage on, water loss became evident. The lipids increased steadily over the four ripening stages, maintaining, however, insignificant calorie content. Total carotenoids, proteins, and ash reached the maximum level at the fully ripe stage. With the exception of weight and moisture, all physicochemical changes exhibited the same general behavior, i.e. they increased as the fruits ripened at the four investigated stages.

scholarly journals IMPLEMENTASI PENERAPAN METODE SIX SIGMA PADA PROSES PERAKITAN ELEKTRO MOTOR (STUDI KASUS: PT. TATUNG ELECTRIC INDONESIA)

Kilat ◽  
2015 ◽  
Vol 4 (2) ◽  
Author(s):  
Arief Suardi Nur Chairat
Keyword(s):  
Continuous Improvement ◽  
Six Sigma ◽  
Manufacturing Industry ◽  
Control Technique ◽  
Assembly Process ◽  
Sigma Level ◽  
Quality Of Products ◽  
Dmaic Method ◽  
Over Time

Tatung Electric Indonesia is a peripatetic company in manufacturing industry assembling of electro motor. So that product yielded by PT. Tatung Electric Indonesia can continue to fulfill requirement of customer, company try to improve the quality of its product by minimizing defect which during the time still happened. This defect arising caused by the existence of variation at yielded product and also that happened in the process. Six Sigma represent control technique or method to reach storey or level quality of 3.4 DPMO ( Defects Per Million Opportunities), which applied by Motorola company since year 1986. Applying strategy to be used is Define-Measure-Analyze-Improve-Control (DMAIC). This Method represent recuring step and form a make-up of quality cycle. Calculations show the company is 3.641 sigma level with DPMO 15,830. The sigma levels are on the average level of sigma industries in Indonesia (3-4 sigma). Increased levels of sigma would happen if the company immediately continuous improvement over time. Conclusion of the application of Six Sigma is the DMAIC method in the assembly process of electro motors can analyze and reduce disability that occurs that will increase the quality of products.

scholarly journals IMPLEMENTATION OF SIX SIGMA IN PRODUCT QUALITY CONTROL

2021 ◽  
Vol 31 (1) ◽  
pp. 51
Author(s):  
Muhamad Erga Elfanda
Keyword(s):  
Production Process ◽  
Six Sigma ◽  
Research Method ◽  
Production Costs ◽  
Product Quality Control ◽  
Processing Industry ◽  
Sigma Level ◽  
Packing Process ◽  
Important Activity

Introduction: The problem faced by the company is the increase in the number of damaged products during the production process, which affects the quality of the product resulting decreased sales levels. The production process in food, beverage, and other processing industry is the most important activity to produce products that later to be marketed. Methods: The research method used in the study is Six Sigma method. Six Sigma is a system which has purpose to make a business become successful in a comprehensive and flexible manner. The product taken and examined is the sweet fermented Carica fruit. This fruit will be produced by CV. Gemilang Kencana, wheresoever the fruit is ready for the packing process, both cups and bottles.Results: The results of the calculation of Six Sigma value from CV. Gemilang Kencana has a sigma level 3.8 with the possibility of damage/ defects to the product up to 11,760 pcs in a million chance of production (DPMO). To reduce the number of damaged/ defective products that occur in the production process by sorting the highest percentage of causes damage, namely packaging leakage by 37%, untidy products by 50%, and less full products by 13%.Conclusion and suggestion: After knowing the results in this study, if the cause of the damage is not handled properly, more products will fail during the production process, which will cause an increase in production costs and have an impact on company losses.

scholarly journals Six Sigma as a Method for Controlling and Improving the Quality of Bed Series Products

2020 ◽  
Vol 19 (2) ◽  
pp. 131-141
Author(s):  
Octa Bimansyah Untoro ◽  
Irwan Iftadi
Keyword(s):  
Production Process ◽  
Six Sigma ◽  
Improve Quality ◽  
Additional Time ◽  
Work Station ◽  
Assembly Work ◽  
Sigma Level ◽  
Calculated Average

The research was conducted at PT. XYZ where there were defect problems in bed series products so that additional time is needed to repair a product. One way to make improvements and improve quality in a production process is the Six Sigma method with the stages of DMAIC. The results of the calculated average of DPMO values and Sigma Level have the result 58558.56 and 3.07 which are still not good because still far from 6 sigma. After that analyzing the root causes of defect product problems, then the priority problem is carried out using (RPN) where the highest value is at the assembly work station because the material that has been used up in the warehouse has an RPN of 405 so that it becomes a top priority for repairs. With the standardization and documentation, proposed improvements that have been given then the possible defects of Electric Lovina Bed 3 Motor will be reduced.

scholarly journals PRODUCT QUALITY CONTROL USING SIX SIGMA (DMAIC) METHODS TO MINIMIZE WAST IN BIMA MANDIRI CIGARETTE COMPANY REMBANG, PASURUAN REGENCY

2021 ◽  
Vol 2 (2) ◽  
pp. 14-22
Author(s):  
Muhammad Husen ◽  
Dayal Gustopo ◽  
Dimas Indra Laksmana
Keyword(s):  
Quality Control ◽  
Six Sigma ◽  
Raw Materials ◽  
Sigma Level ◽  
Regular Control ◽  
Machine Operators ◽  
Engine Components ◽  
A Company ◽  
Regular Training

Quality is a key to be able to compete in the industrial world [16. Quality control is needed to reduce the number of defective products produced by the company, thus reducing losses experienced by the company. The Bima Mandiri Rembang Pasuruan cigarette company is a company that produces cigarettes, one of which is INNO cigarettes. The number of defective products produced by the company so that the company must make an increase in quality by using a method to reduce the number of defects that occur.  The number of defective products causes the company to suffer losses. For that, we need a method that can reduce cigarette defective products which in turn can improve the quality of the company's production[12]. Six Sigma with the DMAIC stage (Define, Measure, Analyze, Improve, Control) is a method used in this research. Based on these steps, defects that often occur are less dense cigarettes as many as 289 sticks with a percentage of 25%, tearing on the cigarettes as many as 227 cigarettes with a percentage of 20% and peeling cigarettes as many as 208 sticks with a percentage of 18%. Factors that cause defects include humans, machines, methods and materials. After calculating using the Six Sigma method, before the improvement, the DPMO value is 113988.1 and the Sigma Level value is 2.722. After the improvements were made, the DPMO value decreased to 76488.1 and the Sigma Level was 2.94715. To achieve the six sigma target, the company is expected to be able to carry out improvements with a focus on the factors that cause product defects and always carry out regular control to reduce product defects. The corrective steps taken in the Bima Mandiri Rembang Pasuruan Regency cigarette company are human: regular training for machine operators and employees; methods: inspection of raw materials, blending machines and glue residue in the teat; engine: inspection of engine components; material: reprocessing less refined raw materials and using better quality glue.

Upgrade Planning of Used Products Considering Uncertainty in Market Demand, Quantity and Variability in Quality of Returns

2014 ◽  
Author(s):  
Ardeshir Raihanian Mashhadi ◽  
Sara Behdad
Keyword(s):  
Profit Maximization ◽  
Optimization Method ◽  
Quality Level ◽  
Market Demand ◽  
Environmental Legislation ◽  
Take Back ◽  
Return Flows ◽  
The Cost ◽  
Original Equipment Manufacturers

Remanufacturing is becoming an important business as market demand for remanufactured products increases and environmental legislation puts further enforcement on Original Equipment Manufacturers (OEMs). However, profitability of salvaging operations is still a challenge in remanufacturing industry. Several factors influence the cost effectiveness of remanufacturing operations, including variability in the quality of received used items and uncertainty in the quantity of return flows and the market demand for those products. Remanufacturing companies need to handle these sources of uncertainties in order to improve their profitability. The current paper develops a Stochastic Optimization method to model these sources of uncertainties in take-back and inventory planning systems. The main purpose of the model is to determine the best upgrade level for a received product with certain quality level with the aim of profit maximization. An example of personal computer is provided to show the application of the method.

scholarly journals Six Sigma in Urban Logistics Management—A Case Study

2021 ◽  
Vol 13 (8) ◽  
pp. 4302
Author(s):  
Justyna Lemke ◽  
Kinga Kijewska ◽  
Stanisław Iwan ◽  
Tomasz Dudek
Keyword(s):  
Six Sigma ◽  
Production Systems ◽  
Root Cause ◽  
Sigma Level ◽  
Last Mile ◽  
Completion Process ◽  
Transfer Services ◽  
Last Mile Delivery

A city as a system that constitutes one of the most important areas of human activities. The significant role to fulfill their expectations pay the goods transport and deliveries. These issues are the subject of urban logistics. In broad terms, urban logistics may be construed as a number of processes focused on freight flows, which are completed in cities, including deliveries, supply, goods transfer, services, etc. Due to the different urban logistics stakeholders’ expectations, these systems generate many challenges for managers, especially in the context of city users’ needs and their quality of life. Today, there is a lack of broadened approach and methodology to support them from the processes’ efficiency perspective. To fulfill this gap, the purpose of this paper is to apply the Six Sigma method as a support in last mile delivery management. Six Sigma method plays important role in production systems processes management. However, it could be useful in much wider perspective, including transport and logistics processes. The Authors emphasize that the Six Sigma method could be efficient approach in the last mile delivery processes’ analysis in the context of their efficiency. It helps positioning the customer satisfaction level and quantify the delivery processes defects, related to the undelivered goods. Following that it could improve significantly the last mile delivery processes efficiency. The concept is illustrated by a sample evaluation of one of the urban logistics processes: completion of deliveries. To this end, urban logistics processes were defined. In particular, the delivery completion process was mapped, and the process client was defined along with their expectations. The defects that occurred in the process were identified and analyzed. A DPMO (Defect per Million Opportunities) indicator was established for three randomly selected months. In addition, a root cause analysis of errors was performed. The sigma level for the studied process ranged from 2.61 to 2.89. The factor that had the greatest impact on the number of defects defined as failed deliveries was customer’s absence. The obtained results indicate that the delivery process should be examined in more detail.

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