Standarisasi Biaya Produksi Terhadap Total Quality Control PAda PTP. Pabrik Gula Takalar

Liquidity ◽  
2018 ◽  
Vol 2 (1) ◽  
pp. 54-58 ◽  
Author(s):  
Jamaluddin Jamaluddin
Keyword(s):  
Quality Control ◽  
Control System ◽  
Production Quality ◽  
Production Costs ◽  
Statistical Quality Control ◽  
Total Quality ◽  
Production Quality Control ◽  
Statistical Quality ◽  
The Cost ◽  
The Relationship

In planning the profit, understanding the relationship between the cost of profit, volume and profit are fundamental in its analysis. This study examines the standardization of the production costs of the company to increase quality control of PTP. Pabrik Gula Takalar. The results concluded that the cost of production on PTP. Sugar Factory Takalar can improve the expected of quality control. In addition, production quality control system implemented in the sugar processing is not been applied to the Statistical Quality Control.

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 Defining the best quality-control systems by design and inspection

1997 ◽  
Vol 43 (5) ◽  
pp. 873-879 ◽  
Author(s):  
C Martin Hinckley
Keyword(s):  
Quality Control ◽  
Task Complexity ◽  
Process Variation ◽  
Control Process ◽  
Statistical Quality Control ◽  
Cultural Changes ◽  
Statistical Quality ◽  
The Many ◽  
The Cost ◽  
Inspection Techniques

Abstract Not all of the many approaches to quality control are equally effective. Nonconformities in laboratory testing are caused basically by excessive process variation and mistakes. Statistical quality control can effectively control process variation, but it cannot detect or prevent most mistakes. Because mistakes or blunders are frequently the dominant source of nonconformities, we conclude that statistical quality control by itself is not effective. I explore the 100% inspection methods essential for controlling mistakes. Unlike the inspection techniques that Deming described as ineffective, the new “source” inspection methods can detect mistakes and enable corrections before nonconformities are generated, achieving the highest degree of quality at a fraction of the cost of traditional methods. Key relationships between task complexity and nonconformity rates are also described, along with cultural changes that are essential for implementing the best quality-control practices.

Use of a programmable desk-top calculator for the statistical quality control of radioimmunoassays.

1978 ◽  
Vol 24 (7) ◽  
pp. 1121-1125 ◽  
Author(s):  
S F Cernosek ◽  
R M Gutierrez-Cernosek
Keyword(s):  
Quality Control ◽  
Control System ◽  
Dose Response ◽  
Response Curve ◽  
Weighting Function ◽  
Weighted Least Squares ◽  
Dose Response Curve ◽  
Quality Control System ◽  
Statistical Quality Control ◽  
Statistical Quality

Abstract We have developed an interactive statistical quality-control system for the small- to medium-sized radioimmunoassay laboratory, which can be used in a programmable desk-top calculator instead of the medium- or large-scale computer systems usually required. The design of this quality-control system is modeled after the suggestions of Rodbard and has three components. The first component evaluates the relationship between the measured response variable of the radioimmunoassay and the precision (or variance) of these measurements. This derived relationship is then used in the second component of the system as the basis for the weighting function used to calculate an interative, weighted, least squares regression of the logit-log transformation of the dose-response curve. The third component uses the quality-control parameters statistically calculated from the linearized dose-response curve to monitor whether the assay is "in-control". The calculator tabulates the means and confidence limits for the various parameters and can plot the statistical quality-control charts. The major benefit of this statistical quality-control system is that it allows the real-time computation and plotting of quality-control data with a programmable desk-top calculator.

SPEL: The Quality Journey

2005 ◽  
Vol 09 (02) ◽  
pp. 203-235 ◽  
Author(s):  
Jamshed Hasan Khan
Keyword(s):  
Quality Control ◽  
Statistical Quality Control ◽  
Trade Barriers ◽  
Total Quality ◽  
Productivity Improvement ◽  
Statistical Quality ◽  
Quality Culture ◽  
Control Quality ◽  
Quality Tools ◽  
Current Systems

Synthetic Products Enterprises (Private) Limited (SPEL) was one of the few (indigenous) Pakistani companies that had introduced and implemented many quality and productivity improvement initiatives. These included Benchmarking, Statistical Quality Control, Quality Control Circles, and 5S'. A distinguishing feature of these initiatives was the involvement and motivation of its employees. However, with emerging competition coupled with reduced trade barriers, it became imperative for the company to constantly review and improve its current systems, which were predominantly quality driven. SPEL was able to develop a quality culture within its organization whereas several other companies, which had implemented similar kinds of quality tools, failed to develop it. This case explores the process through which a customer focused Total Quality Culture was developed and the conditions needed to facilitate this development.

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.

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