scholarly journals ANALISIS EFISIENSI PENGENDALIAN BIAYA KUALITAS PADA AKSAN BAKERY MANADO

2016 ◽  
Vol 11 (2) ◽  
Author(s):  
Fitriayani Adam ◽  
Hendrik Manossoh ◽  
Sherly Pinatik
Keyword(s):  
Quality Control ◽  
Descriptive Analysis ◽  
Quality Standards ◽  
Cost Ratio ◽  
Quality Cost ◽  
Cost Of Quality ◽  
Efficiency Cost ◽  
Quality Of Products ◽  
The Cost

Quality being the competitiveness of the most important for the company's products and also because the quality has been the hope and desire of everyone, especially the consumer. Customers are not going to focus on a product / service only in terms of price but in good quality inherent in the product or service. Viewed from the importance of the quality of products, each company needs to spend quality, cost of quality is the cost refers to the cost incurred to prevent or expenses incurred as a result of producing a quality product. Efforts to improve the quality of the product will not run without the cost of quality control to overcome the problems faced by the company, where quality control can help the company determine the feasibility of the quality of products based on control limits have been set. This study aims to see how the cost of quality control and to analyze the efficiency of the implementation cost of quality control conducted by Aksan Bakery in Manado. Analysis of the data used is descriptive analysis with qualitative approach and using methods of presentation quality cost ratio analysis to assess the efficiency cost of quality. Based on analysis of the cost of quality control conducted by the company it appears that the cost of quality control conducted by the company do not meet the quality standards that have been set at 2.5% of sales, for the cost of quality issued by the company is greater than a predetermined quality standards, namely amounting to 13.89% of sales. This may imply that the cost of quality control has not been carried out efficiently. Keywords : Efficiency , Cost of Quality

scholarly journals Mechanism of the quality cost administration system

2021 ◽  
pp. 23-26
Author(s):  
Serhii TKACHENKO ◽  
Olena POTYSHNIAK ◽  
Yevheniia POLIAKOVA
Keyword(s):  
Quality Assurance ◽  
Production Process ◽  
Cost Management ◽  
Quality Cost ◽  
Cost Of Quality ◽  
Quality Of Work ◽  
Quality Assurance Process ◽  
Assurance Process ◽  
The Cost

Strengthening the impact of the production and economic mechanism on increasing the economic efficiency of the production process and the quality of work is possible on the basis of choosing the most effective ways to achieve high end results of the national economic system of the country. One of these ways is the inclusion in the system of controlled parameters of the economic parameters of quality cost management, the use of which guarantees the quality coordination system to reach a given economically justified state. Adjustment of quality costs consists in maintaining the established proportions between the costs of quality assurance (quality) and the mismatch of work quality indicators, which is achieved by controlling the level of defects, maintaining certain conditions, rules and norms corresponding to the optimal mode of work on quality assurance and the optimal value costs. The quality assurance process is based on a classification represented by a range of activities aimed at ensuring the quality of tools, objects of labour, living labour and information data at all stages of the production process. The costing methodology is based on the selection of the costing object and costing units. Representation of work on quality assurance as an object of calculation, and hours of work or total amount of work as calculation units allows at the right time to present in value terms both the quality assurance process as a whole and the cost of quality for the product. The recommended mechanism of the cost management system in general is focused on a wide range of enterprises and associations, and its use allows to obtain the effect of minimizing the cost of quality, as well as improve the quality of work to ensure product quality, ice directly contribute to production efficiency and quality. Increase of economic benefit at the expense of cost control system solutions of the problem in the future is possible if its implementation on the basis of the theory of functional management development, conversion of static model into a dynamic coordination costs.

PENGARUH TOTAL QUALITY MANAGEMENT (TQM) TERHADAP BIAYA KUALITAS DAN KUALITAS PRODUK SERTA IMPLIKASINYA TERHADAP KINERJA PERUSAHAAN DENGAN BUDAYA KUALITAS SEBAGAI VARIABEL MODERASI

2018 ◽  
Vol 1 (01) ◽  
Author(s):  
Ade Dyah
Keyword(s):  
Quality Management ◽  
Total Quality Management ◽  
Product Quality ◽  
Primary Data ◽  
Total Quality ◽  
Quality Cost ◽  
Cost Of Quality ◽  
Quality Culture ◽  
The Cost

The purpose of this study was to examine and analyze empirically the influence of Total Quality Management (TQM) to the cost of quality and product quality, the influence of Total Quality Management (TQM) to the cost of quality and product quality by quality culture as the moderating variable, the influence of the cost of quality and product quality the performance of the company.Data collection methods used in this research is in the form of secondary and primary data. The questionnaire distributed by proportional random sampling to 34 people respondent managers who working in the rattan industry in Cirebon. The method used in this research is the analysis of MRA (Moderated Regression Analysis) with SPSS tools.The results of this research are the Total Quality Management (TQM) affect the cost of quality and product quality, Total Quality Management (TQM) with a quality culture not significant effect on the cost of quality and product quality, cost and quality of the product quality no significant effect on the performance of the company.

scholarly journals Pricing of Complementary Products in Online Purchasing under Return Policy

2021 ◽  
Vol 16 (5) ◽  
pp. 1718-1739
Author(s):  
Ata Allah Taleizadeh ◽  
Shima Rezvan Beydokhti ◽  
Leopoldo Eduardo Cárdenas-Barrón ◽  
Somayeh Najafi-Ghobadi
Keyword(s):  
Demand Elasticity ◽  
Quality Level ◽  
Selling Price ◽  
Complementary Products ◽  
Quality Cost ◽  
Return Policy ◽  
Perform Sensitivity Analysis ◽  
Quality Of Products ◽  
The Cost

In online purchasing, customers may return products due to dissatisfaction with the quality of the product, and receive a refund based on the return policy, which is determined by online distributors. Online distributors can offer generous policies to attract more customers, but at the cost of reducing total profits. In this paper, the effect of the pricing and quality of complementary products (products sold together with other items) in online selling under the return policy is investigated. For this purpose, a mathematical model is developed to obtain optimal values for selling price, refund amount, and quality of products. Based on analytical results, a solution algorithm is proposed to solve the numerical examples and perform sensitivity analysis. Findings reveal that, while increasing the sensitivity of demand with respect to the refund amount, the price, quality, and refund on returned products should be increased. In addition, the online distributor should increase the quality of products when customers are more sensitive to the quality of products. Among other results, the selling price is shown to be negatively affected by demand elasticity with respect to price. In this situation, the online distributor should reduce the quality level and the refund amount for returned products to avoid a sharp decline in profit. In addition, when the quality cost is high, the price and quality should be decreased and the refund amount unchanged.

scholarly journals PENGAWASAN MUTU BERAS PADA PERUSAHAAN UMUM BULOG DIVISI REGIONAL SUMATERA UTARA

2018 ◽  
Vol 4 (1) ◽  
Author(s):  
Rifka Irhamna Harahap ◽  
Faiz . Ahyaningsih
Keyword(s):  
Quality Control ◽  
Quality Assurance ◽  
Statistical Quality Control ◽  
Total Quality ◽  
Quality Cost ◽  
Cost Of Quality ◽  
Statistical Quality ◽  
The People ◽  
Almost All ◽  
The Cost

ABSTRAKBeras adalah makanan pokok paling penting bagi penduduk Indonesia. Beras juga merupakan sumber utama pemenuhan gizi yang meliputi kalori, protein, lemak dan vitamin. Perusahaan Umum BULOG memiliki tanggung jawab untuk peningkatan stabilisasi dan pengelolaan persediaan bahan pokok dan pangan. Salah satunya bahan pangan yang dikelola BULOG adalah beras. Pihak BULOG terkadang menerima keluhan mengenai kualitas beras yang disalurkan tidak layak konsumsi atau buruk. Permasalahan dapat di ketahui penyebabnya dengan menggunakan salah satu alat dari Statistical Quality Control, yaitu Peta Kendali. Peta Kendali menunjukkan hampir keseluruhan data sudah terkendali secara statistik tetapi ada beberapa data yang di luar kendali yaitu pada bulan Juli, Agustus dan September. Ini disebabkan karena terlalu lama masa simpan dipenyimpanan gudang. Biaya yang dikeluarkan untuk memperbaiki mutu yaitu Biaya Pengawasan Mutu, Biaya Jaminan Mutu dan Total Biaya Mutu. Biaya yang dikeluarkan yaitu Biaya Pengawasan Mutu sebesar Rp 14.462.218,32, Biaya Jaminan Mutu sebesar Rp. 740. 244.100 dan Total Biaya Mutu sebesar Rp 754.706.318,18. Biaya dapat diminimumkan dengan mengoptimumkan kerusakan sebesar 1.034.677,331 kg maka biaya pengawasan mutu sebesar Rp. 103.466.733. biaya jaminan mutu sebesar Rp 103.467.733,1 dan total biaya mutu menjadi Rp 206.935.466,1.Kata kunci: Beras, Mutu, Stastical Quality Control, Biaya Mutu ABSTRACTRice is the most important for the people of Indonesia.Rice is also a major source of nutritional fulfillment which includes calories, protein, fat and vitamins.Perum BULOG has responsibility for improving the stabilization and management of staple and food supplies.One of the foodstuffs managed by BULOG is rice.BULOG parties sometimes receive complaints about the quality of rice distributed unfit for consumption or bad.Problems can be known by using one of the tools of Statistical Quality Control, namely Control Chart.The control chart shows almost all data is statistically controlled but there are some data out of control that is in July, August and September.This is because too long shelf store warehouse storage.Costs incurred to improve quality are Quality Control Costs, Quality Assurance Costs and Total Quality Costs.The cost incurred is the Cost of Quality Supervision of Rp 14,462,218.32, Quality Assurance Cost of Rp. 740. 244,100 and Total Quality Cost of Rp 754,706,318.18.The cost can be minimized by optimizing the damage of 1,034,677,331 kg then the cost of quality control is Rp. 103.466.733. cost of quality assurance of Rp 103,467,733.1 and total cost of quality to Rp 206,935,466.1.Keywords: Rice, Quality, Statistical Quality Control, Quality Cost

scholarly journals ANALISIS PENGENDALIAN KUALITAS PRODUK TELUR ASIN PADA UD. SARI LUWIH DI DESA PADANG LUWIH

2020 ◽  
Vol 9 (6) ◽  
pp. 2332
Author(s):  
Angela Ayu Dewi Candrawati ◽  
I Nyoman Nurcaya
Keyword(s):  
Quality Control ◽  
Egg Production ◽  
Optimal Level ◽  
Statistical Quality Control ◽  
Quality Cost ◽  
Cost Of Quality ◽  
Statistical Quality ◽  
Quality Costs ◽  
Egg Products ◽  
The Cost

Good quality in the production process, with predetermined standards will minimize damaged products. The study was conducted at UD. Sari Luwih is a manufacturing and trading company that processes and sells salted egg products. This study aims to determine the quality control system of salted egg production processes at UD. Sari Luwih is optimal or not. Research is descriptive with a qualitative approach. The sampling method is by census technique. The data used in this study, is the data on the number of damaged salted egg products in the period from October to November 2019 with a sample of 37,500 eggs saturated. The analysis technique used is statistical quality control (SQC) using Check sheets, P-charts, Fishbone diagrams, and Quality cost. The results of the analysis using the P-chart show the amount of product damage that is beyond the control limits and requires more control, whereas for quality costs in 2019, the company's actual cost of quality is Rp. 21,210,696.89 is greater than the optimum quality cost where the cost is Rp. 17,389,652.10 shows that the cost of quality control has not yet reached the optimal level. Keywords: quality cost; quality; statistical quality control; SQC.

scholarly journals PENGENDALIAN KUALITAS AIR PADA PERUSAHAAN DAERAH AIR MINUM TIRTA MEULABOH UNTUK MENINGKATKAN LAYANAN KEPADA MASYARAKAT

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Fitriadi Fitriadi
Keyword(s):  
Water Quality ◽  
Quality Control ◽  
Customer Satisfaction ◽  
Quality Standards ◽  
Design Parameters ◽  
Water Quality Control ◽  
Factors Affecting ◽  
The People ◽  
Quality Of Products

Water is a basic need that is very important for humans and other living creatures. Drinking water is water whose quality meets health requirements and can drink, it was clean water is water used for daily necessities whose quality meets the requirements of health and can be taken if it has been cooked. The quality of products is one of the most important factors affecting the company's progress, as well as for the water company. In this regard discuss about water quality control if it meets quality standards or not. Quality Control of water in accordance with the standardization and quality standards are allowed very closely related to the level of customer satisfaction. Control of the quality of a product can be done by measuring the different variables that influence it. One way to measure and determine the quality of a product is by using the Taguchi method is done with the design parameters is one of the design phase of a product or process. So hopefully by doing this study water quality PDAM Tirta Meulaboh can be controlled and can be controlled which can certainly improve water services to the people of Aceh Barat.Kata Kunci : Water, Quality Control, Customer Satisfaction, Taguchi. 

scholarly journals Target cost management to ensure product quality

2021 ◽  
pp. 18-21
Author(s):  
Serhii TKACHENKO ◽  
Olena POTYSHNIAK ◽  
Yevheniia POLIAKOVA
Keyword(s):  
Quality Assurance ◽  
Quality Management ◽  
Production Process ◽  
Product Quality ◽  
Economic Efficiency ◽  
Production Costs ◽  
Cost Of Quality ◽  
Quality Of Products ◽  
The Cost

Improving the quality of finished products, as well as its provision, associated with costs at all stages of the production process of finished products, in the pre-production and post-production periods. The cost of quality assurance at the stage of the production process occupies a special place in the total cost of quality. Difficulties in estimating the cost of product quality assurance are that there is no experience in determining the production costs of quality assurance of finished products and that the number of influencing factors that must be taken into account in the manufacture of final products of a given level of quality in mass production. Ensuring the quality of products requires significant costs, which over time, given the growing requirements for the quality of finished products, will grow, which determines the need to develop a mechanism to link quality management of finished products with normalized costs to ensure its quality. An article devoted to this little-studied problem and aims to outline theoretical, methodological and practical ways to manage the cost of quality, their coordination in terms of ensuring a given level of quality of finished products. The problem of coordinating (managing) the costs of quality is dictated by the need to include in the case all the reserves and opportunities to improve efficiency and quality, including the ability to correctly calculate, analyze, evaluate and compare costs and results. The purposes of the article, justifying the need for an interdependent system of quality management indicators, is in line with the objectives of resource conservation, a sharp increase in economic efficiency of the production process and improve the quality of products. The scientific problem understood the role as the costs inflicted rocker economic (economic) efficiency mode of operation of the quality management system of finished products, the algorithm definition, calculation methods, detection, calculation, forecasting and control(coordination) costs of product quality.

scholarly journals Quality Classification of Injection-Molded Components by Using Quality Indices, Grading, and Machine Learning

Polymers ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 353
Author(s):  
Kun-Cheng Ke ◽  
Ming-Shyan Huang
Keyword(s):  
Machine Learning ◽  
Integrated Circuit ◽  
Quality Indices ◽  
Statistical Process ◽  
Suitable Alternative ◽  
Quality Grading ◽  
Quality Of Products ◽  
The Cost ◽  
Mlp Model

Conventional methods for assessing the quality of components mass produced using injection molding are expensive and time-consuming or involve imprecise statistical process control parameters. A suitable alternative would be to employ machine learning to classify the quality of parts by using quality indices and quality grading. In this study, we used a multilayer perceptron (MLP) neural network along with a few quality indices to accurately predict the quality of “qualified” and “unqualified” geometric shapes of a finished product. These quality indices, which exhibited a strong correlation with part quality, were extracted from pressure curves and input into the MLP model for learning and prediction. By filtering outliers from the input data and converting the measured quality into quality grades used as output data, we increased the prediction accuracy of the MLP model and classified the quality of finished parts into various quality levels. The MLP model may misjudge datapoints in the “to-be-confirmed” area, which is located between the “qualified” and “unqualified” areas. We classified the “to-be-confirmed” area, and only the quality of products in this area were evaluated further, which reduced the cost of quality control considerably. An integrated circuit tray was manufactured to experimentally demonstrate the feasibility of the proposed method.

Perbaikan Kualitas Produk Batu Bata Merah Dengan Metode Six Sigma-Dmaic (Studi Kasus Cv. Ghatan Fatahillah Karawang)

UNISTEK ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 6-10
Author(s):  
Egar Naufal Ari Satya ◽  
Wahyudin Wahyudin
Keyword(s):  
Quality Control ◽  
Customer Satisfaction ◽  
Six Sigma ◽  
Quality Standards ◽  
Research Results ◽  
Machine Performance ◽  
Fishbone Diagram ◽  
And Control ◽  
Dmaic Method

Abstrak. Dunia industri yang semakin berkembang akan mengakibatkan banyaknya persaingan. Perus-ahaan yang dapat bersaing adalah perusahaan yang dapat menjaga  kualitas produknya dengan baik sehingga dapat memenuhi kepuasan konsumen. Maka dari itu diperlukan pengendalian kualitas. Penelitian ini difokuskan pada penurunan cacat pada produk batu bata merah di CV. Ghatan Fatahillah dengan metode Six Sigma-DMAIC (Define, Measure, Analyze, Improve, dan Control). Dari hasil penelitian didapatkan DPMO sebesar 36.212 dengan nilai sigma 3,29. Jenis cacat yang paling sering terjadi pada batu bata merah yaitu pecah/patah yaitu sebesar 4.327 atau 59,81% dari total keseluruhan produk yang cacat.  Hasil dari tahap analyze dengan fishbone diagram, ditetapkan penyebab dari pecah/cacat, yaitu: pekerja kurang paham standar kualitas, tidak adanya pemeriksaan produk, pekerja kurang paham prosedur kerja, kinerja mesin tidak stabil, pekerja kurang teliti,  jumlah penggilingan tidak menentu, dan komposisi batu bata tidak menentu. Maka perlu dilakukan usulan perbaikan agar dapat mengurangi jumlah produk yang cacat pada batu bata merah. Kata kunci: DMAIC, DPMO, Pengendalian Kualitas, Six Sigma Abstract. The growing industrial world will result in a lot of competition. Companies that can compete are companies that can maintain the quality of their products well so that they can meet customer satisfaction. Therefore, quality control is needed. This research is focused on reducing defects in red brick products at CV. Ghatan Fatahillah with the Six Sigma-DMAIC method (Define, Measure, Analyze, Improve, and Control). From the research results obtained DPMO of 36,212 with a sigma value of 3.29. The type of defect that most often occurs in red bricks is broken / broken, which is 4,327 or 59.81% of the total defective products. The results of the Analyze stage with the fishbone diagram showed that the causes of breakage / defects were determined, namely: workers do not understand quality standards, lack of product inspection, workers do not understand work procedures, unstable machine performance, workers are not careful, the number of mills is erratic, and composition erratic bricks. So it is necessary to make improvement proposals in order to reduce the number of defective products in red bricks. Keywords: DMAIC, DPMO, Quality Control, Six Sigma

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