scholarly journals QUALITY ENGINEERING TRANSFORMATION OVER THE YEARS AND ISSUES - A REVIEW

2021 ◽  
Vol 5 (10) ◽  
Author(s):  
Pappu Rama Subramaniam ◽  
Pappu Rama Subramaniam
Keyword(s):  
Quality Management ◽  
Process Control ◽  
Statistical Process Control ◽  
Design Of Experiment ◽  
Quality Function Deployment ◽  
Quality Engineering ◽  
Quality Model ◽  
Statistical Process ◽  
Quality Function ◽  
Goods And Services

Traditional quality management and monitoring has been shown to be unsuccessful. Today, emerging companies are vying for more value to the consumer in order to ensure their maximum success and sustainability. Many businesses want to ensure that their goods and services are of high quality in order to attract customers. The current situation is implementing quality engineering solutions in industries. Quality engineering is the method of evaluating, handling, designing, and maintaining various systems in compliance with high standards. This method ensures that each stage of the product development cycle is subjected to a thorough inspection by quality engineers, reducing possible losses by eliminating defects from the start. Furthermore, highquality maintenance is important and should be made available for a long time after the product has been shipped. Customers' preferences are shifting significantly, necessitating improvements in design and production technology, which is becoming increasingly critical in satisfying individual customers. This necessitates paying particular attention to quality engineering. The paper starts with a review on quality emphasis over the last 37 years, quality concepts, and quality model evolution followed by i) a contrast of quality management and quality engineering, ii) developments in quality engineering tools and techniques, such as statistical process control (SPC), design of experiment (DoE), Taguchi processes, and quality function (QFD). This paper also looks at quality engineering-related problems. There are brief reviews of recent developments in well-known quality tools, such as statistical process control, quality function deployment, and design of experiment. The aim of this paper is to place quality engineering in context and emphasise its significance, as well as to present some issues at the frontiers of quality engineering.

TOTAL QUALITY MANAGEMENT USING PARETO DIAGRAMS AND STATISTICAL PROCESS CONTROL CHARTS (SPC) APPLIED TO PRECAST BEAMS

2014 ◽  
Vol 1 (1) ◽  
Author(s):  
Mifta Priyanto
Keyword(s):  
Quality Management ◽  
Process Control ◽  
Total Quality Management ◽  
Statistical Process Control ◽  
Control Charts ◽  
Range Limit ◽  
Total Quality ◽  
Statistical Process ◽  
Process Control Charts ◽  
Statistical Process Control Charts

This paper presents the application of Total Quality Management Method using Pareto diagrams and Statistical Process Control charts (SPC). These tools can be applied to both the manufacturing and construction sectors. A Pareto diagram can figure out some of the dominant problems of the projects, and SPC can determine whether the data variation is within control limits. SPC can measure the quality of performance in learning curve using the upper-range limit and lower-range limit of the control analysis. A case study was conducted on a precast beams installation at a rental multi-story residential project in Jakarta, Indonesia. Based on the measurement, some data are outside of the control limit due to the problems identified in the Pareto diagram. Further analysis by measuring the Process Capability Ratio (Cp) produces a value <1, indicating that project management needs to be careful about process variation.

scholarly journals Statistical process control and CAQ systems as a tools assuring quality in the automotive industry

2019 ◽  
Vol 2 (1) ◽  
pp. 336-344
Author(s):  
Łukasz Wiecha ◽  
Grzegorz Ćwikła
Keyword(s):  
Quality Management ◽  
Process Control ◽  
Statistical Process Control ◽  
Automotive Industry ◽  
Management System ◽  
Quality Management System ◽  
Statistical Process ◽  
Assurance System ◽  
A Company

Abstract The aim of the article is to present the case study of implementation of the example CAQ system, which allows to meet the requirements of IATF 16949:2016 and the VDA 6.1 standards in the field of statistical process control (SPC). The foundations of the CAQ systems concept and their specific requirements, especially for companies operating in the automotive industry, for which modern CAQ tools are necessary, in the described case based on the LEAN-QS program, are presented. The article presents the observations and results of the analysis of the operation of the quality assurance system in a company that is a supplier of car parts. One of the modules of the LEAN-QS program was implemented there, which makes it possible to meet the requirements of a certified quality management system. The effectiveness of the presented tool was demonstrated, allowing to meet industry requirements while minimizing resources necessary for supervision and proper implementation of the quality management system process, which in this case is the SPC.

scholarly journals IMPLEMENTATION OF STATISTICAL PROCESS CONTROL (SPC) FOR MANUFACTURING PERFORMANCE IMPROVEMENT

1970 ◽  
Vol 40 (1) ◽  
pp. 15-21 ◽  
Author(s):  
Farzana Sultana ◽  
Nahid Islam Razive ◽  
Abdullahil Azeem
Keyword(s):  
Quality Management ◽  
Process Control ◽  
Total Quality Management ◽  
Statistical Process Control ◽  
Data System ◽  
Total Quality ◽  
Statistical Process ◽  
Machine Breakdowns ◽  
Hourly Data ◽  
Manufacturing Performance

This paper intends to combine the Hourly Data System (HDS) and Statistical Process Control (SPC) practices to improve manufacturing performances in manufacturing companies. The focus of this work is to find out the frequencies and time duration of machine breakdowns as well as the major causes of breakdowns affecting productivity. Total quality management (TQM) was introduced to improve continually the products or services to increase the customer satisfaction level. SPC is an important tool of TQM. Again HDS is the real time view of production floor of any manufacturing industry. In usual practice, SPC is used as quality control tool. However in this research SPC is used to increase total output identifying major loss times from various machine breakdowns using HDS. Successful implementation of the recommendations of this paper can significantly improve the manufacturing performance of a manufacturing environment. Keywords: Total Quality management (TQM), Statistical Process Control (SPC), Hourly Data System (HDS)   doi: 10.3329/jme.v40i1.3466 Journal of Mechanical Engineering, Vol. ME40, No. 1, June 2009 15-21

The Application Research of Statistical Process Control in Quality Management

2014 ◽  
Vol 926-930 ◽  
pp. 4000-4003
Author(s):  
Qiu Yan Liu ◽  
Jun Li Shi ◽  
Shi Yuan Xing
Keyword(s):  
Quality Management ◽  
Process Control ◽  
Statistical Process Control ◽  
Control Chart ◽  
Process Capability ◽  
Control Technology ◽  
Application Research ◽  
Statistical Process ◽  
Intensity Index ◽  
Productive Process

By discussing the application of statistical process control technology in the print and package industry, we have been in control of the productive process, for focusing on the heat-seal intensity index of sauce package products, and utilized instability of the control chart discovering the instable in the process , to realize the pre-alarm function. The management makes the process update constantly, and enhances the process capability.

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