scholarly journals Integration of Statistical Process Control Data Into Control and Information Systems for Production Optimization and Regulatory Compliance

2004 ◽  
Author(s):  
Douglas C. Fair ◽  
Jim Redifer
Keyword(s):  
Process Control ◽  
Regulatory Compliance ◽  
Production Optimization ◽  
Specific Information ◽  
Time Data ◽  
Statistical Process ◽  
Manufacturing Operations ◽  
Computer Based ◽  
Using Data ◽  
Statistic Process Control

Data and Information from the plant floor is proliferating as more sophisticated machinery, instrumentation, and computer based devices are introduced into the manufacturing process. The use of Statistic Process Control to utilize this data goes beyond just measuring and analyzing product specific information. Food processing and manufacturing operations need to integrate real-time data and SPC data analysis into their operation in order to be a world-class manufacturer. To facilitate these goals, an organization must have a vision for an automation and information infrastructure as well as a data strategy. This discussion will touch on a number of key points in formulating that vision, as well as some specific functionalities using data and SPC that one would want to achieve. Paper published with permission.

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.

Application of a Computer Based System for Statistical Process Control in a Semiconductor Company : A Case Study

2012 ◽  
Vol 59 (2) ◽  
Author(s):  
Nor Kamaliana Khamis ◽  
Baba Md Deros ◽  
Nizaroyani Saibani ◽  
Syamsinar Baizura Ahmad Sabki
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Semiconductor Manufacturing ◽  
Human Error ◽  
Early Stage ◽  
Manufacturing Environment ◽  
Statistical Process ◽  
Computer Based ◽  
Recent Trends

The use of Statistical Process Control (SPC) in the manufacturing process has been historically proven to increase the quality of the product. Recent trends show that companies are becoming increasingly reliant on computer based-SPC because it can save a significant amount of time compared with traditional SPC. In addition, labor-intensive tasks, such as manual data collection and entry, can be eliminated, thus reducing human error. This paper aims to prove the benefits of computer based system for SPC known as e-SPC in a semiconductor manufacturing environment. Specifically, this paper will present the case study‟s finding that show how one semiconductor manufacturing company‟s use of e-SPC can detect a process abnormality at an early stage and in real time compared with manual SPC. The case study involves interviews with the company representatives and observations on the manufacturing environment. This paper will also show how e-SPC can be used to control and then to stabilize the manufacturing operation. In conclusion, this paper demonstrates that e-SPC can significantly improve the performance of a manufacturing environment. Moreover, this paper can also be used as a reference for the implementation of e-SPC in any company.

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