Production Quality Management Oriented Key Manufacturing Process Identification Method

Author(s):  
Junyi Liu ◽  
Changchao Gu ◽  
Wenbo Han ◽  
Lexiao Li
2011 ◽  
Vol 314-316 ◽  
pp. 1944-1947 ◽  
Author(s):  
Jozef Maščeník ◽  
Stefan Gaspar

Production of components, necessary for the construction of the machine resp. or device is a demanding manufacturing process. One of the possibilities of increasing efficiency and production quality is the introduction of unconventional technologies to the production process. Knowing the dependence of the impact of non-conventional technologies on the mechanical properties of products and their subsequent verification is an important aspect when designing and manufacturing them. The article deals with the impact of used unconventional technology, that means laser, plasma and water jet on the roughness of a cutting edge and microhardness of material S 355 J2 G3.


2021 ◽  
Vol 235 ◽  
pp. 03031
Author(s):  
Huali Zheng

Under the multi-point production management mode, Researchers establish a unified cooperative production multi-point product quality analysis standard, set benchmarks, compare performance, create a process quality management atmosphere of ratio, learning, catching up and exceeding, so that multi-point quality management ability can be obtained together to improve, product quality has been continuously improved. At present, the quality analysis of multi-point processed products in cooperative production is only a simple average and standard deviation detection and comparison of key processes and individual indicators, or a single analysis of the appearance quality of cigarettes. The analysis is relatively isolated and no in-depth research is conducted. It is impossible to comprehensively and comprehensively compare the processing quality levels of various processing enterprises. In response to these problems, this paper compares and analyzes several quality controlling schemes, selects the “platform + module” scheme and designs and constructs it. The article discusses the specific implementation measures of the design plan. From the perspective of the implementation effect of the plan, it can provide guarantee for improving the production quality of cigarettes.


2012 ◽  
Vol 217-219 ◽  
pp. 2658-2663
Author(s):  
Xiao Rong Chen ◽  
Lin Bai ◽  
Tong Wu

This paper analyses the actual applications demand of the real-time PCB production quality management information system for the electronic product manufacturing enterprises, has established functional model for the real-time PCB production and quality management information system, and has used of mathematical statistics and mathematical logic principles, methods to analyzed of PCB production quality information, which was collected in real-time, finally, has established a Quality Information System PCB, this system achieves the various production processes and product quality tracking and retroactively for PCB.


Author(s):  
Thawatchai Nima, Et. al.

This research aimed to 1. Study factors of supplier quality management and production quality management that affect organization performance.2. Confirm the structural models that affect organization performance. This study was mixed methods research. The quantitative research consisted of 13 observable variables, which collected data from 260 medium and small companies in Thailand. The qualitative research collected data from a focus group of experts involved in organizational management, quality management, and supplier management of nine experts. The research results were found that 1. The structural model of organization performance in Small and Medium Enterprises in Thailand were consistent and harmonious with empirical data, with consistency values of c2= 94.89, df = 61, c2/ df = 1.56, CFI = 0.98, GFI = 0.95, SRMR = 0.049, RMSEA = 0.046. 2. Factors affecting organization performance are factors of Supplier Quality Management, and Production Quality Management, respectively.


2021 ◽  
Vol 2095 (1) ◽  
pp. 012047
Author(s):  
Qijian Zhao ◽  
Yizhe Wang ◽  
Pengfei Sun ◽  
Lianxin Zhang

Abstract The assembly of the wedge belt joint relies on the sense and experience of human, which limit the application of automatic assembly technology. In order to implement automatic assembly for higher production quality and efficiency, an assembly status identification method based on dynamic feature is proposed. The contact status of the wedge belt in assembly is analysed and the dynamic model is formulated. The dynamic features for identification are compared and the signal of acceleration is selected. The identification method of assembly status is proposed based on the acceleration signal. An experiment is designed to verify the identification method. The experiment result shows that the amplifier of the acceleration decreases much more sharply as it fits well. The proposed identification method is effective and stable, which could be used for the automatic assembly.


2018 ◽  
Vol 26 (6(132)) ◽  
pp. 30-42 ◽  
Author(s):  
Ayşenur Erdil ◽  
Erturul Taçgın

The most significant issues in businesses within the scope of manufacturing and services are the sustainability of production quality, setting quality standards and reducing the waste amount during the manufacturing process. From this point of view, the aim of this study is to provide a better quality level of supplying households’ apparel needs while reducing the environmental, economic and social problems of the sustainable supply chain of the apparel sector and extending the lifecycle of apparel. The importance of risk analyses and calculations in the applications of industrial sectors plays a vital role in evaluating the factors of sustainability dimensions. In order to address this risk analysis in this research, quality-oriented implementations are applied to determine the failure modes and effect analysis (FMEA). The significant factors are determined via Pareto Analysis (PA) to control and prevent potential errors and failures in the manufacturing systems of the textile industry. To achieve the aim of this study, the methodology of the research focuses on discovering failures of negative impact based on the primary factor degrees with the computing of risk priority numbers (RPNs) in the manufacturing process of the textile-apparel industry in Turkey. According to the ranking of the RPNs, FMEA application and PA enable to decrease the effects of negative factors and risks as well as the waste amount of the apparel-textile industry, as well as to increase the lifecycle of apparel and products.


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