Improving Quality with Basic Statistical Process Control (SPC) Tools: A Case Study

2012 ◽  
Author(s):  
Jafri Mohd. Rohani ◽  
Kok Teng Chan
Keyword(s):  
Quality Control ◽  
Process Control ◽  
Statistical Process Control ◽  
Injection Moulding ◽  
Cost Effective ◽  
Statistical Process ◽  
Plastic Injection Moulding ◽  
Basic Quality ◽  
Plastic Injection

Syarikat mesti berusaha untuk meningkatkan kualiti dan produktiviti produk atau proses untuk maju bersaing. Sebahagian daripada tujuh alatan asas kawalan kualiti merupakan suatu teknik yang sangat berkesan untuk mencapai objektif tersebut. Kajian kes yang telah dijalankan di syarikat "plastic injection moulding" tempatan telah mengaplikasikan sebahagian daripada tujuh alatan kawalan kualiti dan keputusan menunjukkan purata bulanan kualiti kecacatan produk menurun dari 13.49% ke 7.4%. Untuk mencapai kejayaan seterusnya dalam mempertingkatkan kualiti produk, sokongan daripada pihak atasan syarikat amatlah diperlukan. Kata kekunci: Kawalan Kualiti Berstatistik; "Plastic Injection Moulding"; carta kawalan In order to survive in a competitive market, improving quality and productivity of product or process is a must for any company. Some simple techniques like the "seven basic quality control (QC) tools" provide a very valuable and cost effective way to meet these objectives. This paper presents a case study in which a local plastic injection moulding company deployed some part of the "seven basic quality control (QC) tools" to significantly improved the monthly defect quality from 13.49% to 7.4%. However, to make them successful as cost effective and problem solving tools, strong commitment from top management is required. Keywords: Statistical Process Control (SPC); Plastic Injection Moulding; Control Charts

scholarly journals ANALISIS KUALITAS PRODUK MENGGUNAKAN METODE STATISTIC PROCESS CONTROL (SPC) MINITAB DAN TIME-CHARTING DI PT. COCA-COLA BOTTLING INDONESIA UNIT LAMPUNG

2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Joko Saryono ◽  
Keyword(s):  
Quality Control ◽  
Process Control ◽  
Statistical Process Control ◽  
Control Method ◽  
Production Data ◽  
Statistical Process ◽  
Research Results ◽  
Statistic Process Control ◽  
Gas Volume ◽  
A Company

Abstract PT. COCA-COLA BOTTLING INDONESIA is a company engaged in the field of Agro-industry is bottling soft drinks and not sparkling. The products produced are Coca-Cola, Sprite, Fanta, and Tea. To be able to compete with similar industries then the company implements quality control by Statistical Process Control method. In the development of this SPC many methods there are manual or who use the software. Currently PT. Coca-Cola Bottling Indonesia in quality control using Time Charting method, but since the transition from Minitab to Time Charting the tendency of the value of capability below standard, whereas production data is almost the same as using Minitab. The purpose of this research is to analyze the inequality of Statistical Process Control between Minitab 13 and Time Charting. Time Charting method is a new method that is given by the headquarters for the process of quality control can be fast and accurate. Quality control with the Statistical Process Control of Minitab and Time Charting methods after the results of the research results was found to be part of different LSL and USL charging, and Calculate Statistic Using different from Minitab method should still be 6 but in written procedure 3. For writing LSL And USL if the Time Charting is determined by the head office while Minitab analysts fill in based on experiments on the decrease of gas volume marketed in previous years. From the research results obtained Cpk data for Minitab method 13 is Sprite 390 ml 1.47, Sprite 1000 ml 1.90 and Sprite 1500 ml 1.38. The result of the research was using Minitab method and the Charting Time of Capacity that is above 1.33 average. The causes of the resulting inequality of both methods are the LSL, USL and Calculate Statistic Using values. The smaller the value of Calculate Statistic Using the higher Cpk produced. Keywords: Production, Statistical Process Control, Quality.

The Intelligent Quality Control Technology System Based on the Integration Methods of SPC and EPC

2012 ◽  
Vol 263-266 ◽  
pp. 839-842 ◽  
Author(s):  
Zhong Qiu Jiang
Keyword(s):  
Quality Control ◽  
Process Control ◽  
Statistical Process Control ◽  
Control Process ◽  
Control Mode ◽  
Statistical Process ◽  
Technology System ◽  
Quality Control Process ◽  
Dynamic Quality ◽  
And Function

SPC (statistical process control) and EPC (engineering process control) is the scientific methods of quality quality control and quality improvement. It is the difficult problems of quality control process for network manufacturing enterprise how to effectively solve the dynamic quality fluctuation monitoring and the fluctuation abnormal diagnostic analysis and timely process adjustments, this paper designs the intelligent quality control mode and function system architecture, the modes expatiates quality management network based on quality control network of the workshop level and enterprise class network, and researches the integration applications of statistical process control and enterprise ERP quality system, and applies J2EE technology to achieve the system organic combination of design and development.

Case study: the use of statistical process control in fish product packaging

Food Control ◽  
1998 ◽  
Vol 9 (5) ◽  
pp. 289-297 ◽  
Author(s):  
Nigel P. Grigg ◽  
Jeannette Daly ◽  
Marjorie Stewart
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Statistical Process ◽  
Product Packaging ◽  
Fish Product

Quality Control of Plastic Cup Products Using Statistical Process Control Methods and Failure Modes and Effect Analysis

2019 ◽  
Vol 7 ◽  
Author(s):  
Kurniawan Eka Rusandi ◽  
Wiwik Sulistiyowati
Keyword(s):  
Quality Control ◽  
Process Control ◽  
Statistical Process Control ◽  
Failure Modes ◽  
Total Production ◽  
Statistical Process ◽  
Effect Analysis ◽  
A Value ◽  
Fmea Analysis ◽  
Cup Products

PT. ICP is a company engaged in manufacturing of packaging, with a wide variety of packaging technologies that fit the needs of the current market share. Among the resulting product is aplastic cup, the results of thermoforming. This research aims to know the main cause of the defect (defect) in a plastic cup products and to reduce product defects in the production process. From the results of the observations made in September 2017 until December 2017 known that the plastic cup products with total production of 63,314,964 pcs to 3,671,341 pcs disability amount. Based on the problems faced by the company efforts on product quality control plastic cup to find the cause of a disability and find solutions for improvement. Proper methods used in the problems that occurred in PT ICP are using Statistical Process Control (SPC) and the method of Failure Mode and Effects Analysis (FMEA). The method is intended to reduce defects in the product and look for the main cause of defect products in a plastic cup. From the results of research conducted has been known that the biggest cause of disability plastic cup is of a rough lip with disabilities amount of 1,346,308 pcs with a cumulative value of 42%. FMEA analysis and the results of that unknown cause rough lip is from wear cutting factor with a value of 224 RPN.

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