Estimation of Process Performance Using Statistic Process Control, Process Capability and Process Trajectory Outlier

he use of Statistics Process Control in education is fairly new but it has been clearly seen that the method can be used in the field of student evaluation in teaching and learning processes, monitoring student grades, assessment processes in higher education, assessment of learning outcomes and others. This study will discuss the application of Process Control Statistics (SPK) to evaluate the learning process using two control diagrams of variables and R using the Process Capability (KP) analysis, which aims to determine students' abilities in carrying out practical tests. From these problems to determine the effectiveness of the control program and R in evaluating the learning process. From the results of the analysis it can be concluded that the application of Control Process Statistics is very possible in the evaluation of the learning process. In this context, control diagrams and R are useful for increasing efficiency in detecting deficiencies in the evaluation of the learning process and evaluating student performance. In the process capability analysis (KP) it can be seen that the student evaluation process is still not as expected, and the learning process is considered to be uneven so that the resulting output has not reached what was expected Penggunaan Statistik Proses Kontrol dalam pendidikan memang terbilang baru tetapi telah jelas terlihat bahwa metode tersebut dapat digunakan di bidang evaluasi siswa dalam pengajaran dan proses pembelajaran, pemantauan nilai siswa, proses penilaian dalam pendidikan tinggi, penilaian hasil pembelajaran dan lain-lain. Penelitian ini akan membahas penerapan Statistik Proses Kontrol (SPK) untuk mengevaluasi proses pembelajaran menggunakan dua digram kontrol variabel dan R dengan menggunakan analisis Kapabilitas Proses (KP), yang bertujuan untuk mengetahui kemampuan siswa dalam melaksanakan ujian praktikum. Dari permasalahan tersebut untuk mengetahui efektifitas digram kontrol dan R dalam mengevaluasi proses pembelajaran. Dari hasil analisis dapat disimpulkan bahwa penerapan Statistik Proses Kontrol sangat mungkin dilakukan dalam evaluasi proses pembelajaran. Dalam konteks ini, diagram kontrol dan R berguna untuk meningkatkan efisiensi dalam mendeteksi kekurangan dalam evaluasi proses pembelajaran dan evaluasi kinerja siswa. Pada analisis kapabilitas proses (KP) dapat diketahui bahwa proses evaluasi siswa masih belum sesuai dengan yang diharapkan, dan proses pembelajaran dianggap belum merata sehingga ouput yang dihasilkan belum mencapai dengan yang diharapkan.

Download Full-text

Concept of process capability indices as a tool for process performance measures and its pharmaceutical application

Journal of Drug Delivery and Therapeutics ◽

10.22270/jddt.v10i5.4288 ◽

2020 ◽

Vol 10 (5) ◽

pp. 333-344

Author(s):

Abikesh Prasada Kumar Mahapatra ◽

Jianwu Song ◽

Zhibo Shao ◽

Tang Dong ◽

Zihong Gong ◽

...

Keyword(s):

Control Charts ◽

Manufacturing Industry ◽

Drug Product ◽

Control Process ◽

Process Capability ◽

Process Capability Indices ◽

Process Performance ◽

Process Robustness ◽

Capability Indices ◽

Pharmaceutical Industries

The main objective of the present study is to present the concept of process capability and to focus its significance in pharmaceutical industries. From a practical view point, the control charts (such as X and R hart) sometimes are not convenient summary statistics when hundreds of characteristics in a plant or supply base are considered. In many situations, capability indices can be used to relate the process parameters. The resulting indices are unit less and provide a common, easily understood language for quantifying the performance of a process. Process capability indices (PCIs) are powerful means of studying the process ability for manufacturing a product that meets specifications. Several capability indices including Cp, Cpu, Cpl and Cpk have been widely used in manufacturing industry to provide common quantitative measures on process potential and performance. The formulas for these indices are easily understood and can be directly implemented. A process capability analysis compares the distribution of output from an in-control process to its speciﬁcations limits to determine the consistency with which the specifications can be met. The process capability is also having a significant role in pharmaceutical industry. Process capability indices can be a powerful tool by which to ensure drug product quality and process robustness. Determining process capability provides far more insight into any pharmaceutical process performance than simply computing the percentage of batches that pass or fail each year. Keywords: Process capability; Cp/Cpk; Pp/Ppk; Pharmaceutical quality, process robustness, specification

Download Full-text

Process Capability and Process Control

Product Reliability, Maintainability, and Supportability Handbook, Second Edition ◽

10.1201/9781420009897.ch16 ◽

2009 ◽

pp. 421-445

Author(s):

Michael Pecht ◽

Diganta Das

Keyword(s):

Process Control ◽

Process Capability

Download Full-text

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

Industrika: Jurnal Ilmiah Teknik Industri ◽

10.37090/indstrk.v1i2.11 ◽

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.

Download Full-text

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

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.263-266.839 ◽

2012 ◽

Vol 263-266 ◽

pp. 839-842 ◽

Cited By ~ 2

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.

Download Full-text

Development of an Integrated FMEA (i-FMEA) Using DAIREC Methodology for Automotive Manufacturing Company

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.315.176 ◽

2013 ◽

Vol 315 ◽

pp. 176-180 ◽

Cited By ~ 1

Author(s):

A.R. Soufhwee ◽

A. Hambali ◽

M.A. Rahman ◽

H. Hanizam

Keyword(s):

Regression Analysis ◽

Process Control ◽

Design Stage ◽

Process Performance ◽

Performance Indices ◽

Automotive Manufacturing ◽

Process Factor ◽

Current Process ◽

Important Requirement ◽

Quality Product

Quality, reliability, and safety of products are the most important requirement of manufacturer in order to maintain their product competitiveness in market. Customers needs related to quality product in the market therefore drive the design and process activities to a high quantity of analysis. One possibility to reduce the number of activities is to integrate FMEA (i-FMEA) to merge Design FMEA (DFMEA) and Process (PFMEA) through DAIREC methodology. In this paper, a regression analysis between critical dimensional decided during design stage and key process factor in current process control is analyzed using MINITAB software. A judgment on a new ranking has been decided based on process performance indices (Ppk) for improvement lot.

Download Full-text

INSTRUMENTATION AND PROCESS CONTROL | Process Control

Encyclopedia of Dairy Sciences ◽

10.1016/b0-12-227235-8/00713-6 ◽

2002 ◽

pp. 1401-1410 ◽

Cited By ~ 1

Author(s):

P. Georgieva ◽

R. Oliveira ◽

S. Feyo de Azevedo

Keyword(s):

Process Control ◽

Control Process

Download Full-text

Fundamentals of Process Control

Elements of Induction Heating ◽

10.31399/asm.tb.eihdca.t65220143 ◽

1988 ◽

pp. 143-183

Keyword(s):

Process Control ◽

Manufacturing Systems ◽

Control Process ◽

Vacuum Induction Melting ◽

Processing Temperature ◽

Induction Melting ◽

Materials Handling ◽

Control Functions ◽

Steel Slabs ◽

Demand Control

Abstract This chapter discusses the selection, use, and integration of methods to control process variables in induction heating, including control of workpiece and processing temperature and materials handling systems. The discussion of temperature control includes a review of proportional controllers and heat-regulating devices. Integration of control functions is illustrated with examples related to heating of steel slabs, surface hardening of steel parts, vacuum induction melting for casting operations, and process optimization for electric-demand control. Distributed control within larger manufacturing systems is discussed. The chapter also covers nondestructive techniques for process control and methods for process simulation.

Download Full-text