The application of rule based methods to inspection and quality control in a manufacturing process

2011 ◽  
pp. 41-54
Author(s):  
D. Harrison ◽  
J. Billingsley ◽  
F. Naghdy
Author(s):  
Nicholas Randall ◽  
Rahul Premachandran Nair

Abstract With the growing complexity of integrated circuits (IC) comes the issue of quality control during the manufacturing process. In order to avoid late realization of design flaws which could be very expensive, the characterization of the mechanical properties of the IC components needs to be carried out in a more efficient and standardized manner. The effects of changes in the manufacturing process and materials used on the functioning and reliability of the final device also need to be addressed. Initial work on accurately determining several key mechanical properties of bonding pads, solder bumps and coatings using a combination of different methods and equipment has been summarized.


2021 ◽  
pp. 1-11
Author(s):  
Song Gang ◽  
Wang Xiaoming ◽  
Wu Junfeng ◽  
Li Shufang ◽  
Liu Zhuowen ◽  
...  

In view of the production quality management of filter rods in the manufacturing and execution process of cigarette enterprises, this paper analyzes the necessity of implementing the manufacturing execution system (MES) in the production process of filter rods. In this paper, the filter rod quality system of cigarette enterprise based on MES is fully studied, and the constructive information management system demand analysis, cigarette quality control process, system function module design, implementation and test effect are given. This paper utilizes the Fuzzy analytic hierarchy process to find the optimal system for processing the manufacturing of cigarette. The implementation of MSE based filter rod quality information management system for a cigarette enterprise ensures the quality control in the cigarette production process. Through visualization, real-time and dynamic way, the information management of cigarette production is completed, which greatly improves the quality of cigarette enterprise manufacturing process.


2021 ◽  
pp. 147-159
Author(s):  
Mehdi El Harrak ◽  
Imane Belkourati ◽  
Zineb Boumart ◽  
Fatima Z. Fakri ◽  
Jihane Hamdi

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Ghita Lanzendörfer-Yu

Abstract The color cosmetic market, even though highly dependent on color, is driven by texture. Pigment and color innovation are predominantly taking place in the field of inorganic effect pigments, as colorants are regulated within the different cosmetic directives and toxicological profiles have to be established prior to use. Therefore, the formulation and the packaging are the relevant innovative factors. Nevertheless, color cosmetics are driven by fashion and trends. One of the main drivers for sales is social networks. They are image based and therefore the ideal platform to spread these trends, boosting sales of color cosmetics recently. Even though, color cosmetics seem to be very simple in composition, the development, production and quality control are far from that. In color cosmetics, all cosmetic disciplines cumulate: dispersion strategies, emulsion technologies, molding and extruding of sticks and pencil leads, mixing and compressing of powders, liquid inks and so on. And almost every discipline requires separate production vessels, resulting in a rather complex manufacturing process.


2021 ◽  
Vol 66 (1) ◽  
pp. 5-16
Author(s):  
Olga-Ioana Amariei ◽  
Codruța-Oana Hamat ◽  
Alexandru-Victor Amariei

In this paper, a manufacturing process is analyzed, having as quality characteristic the “height of the screw head”, using analyzes and representative diagrams. Based on this case study, the way to solve these types of problems using the Quality Control Chart module of the WinQSB program, as well as the XLSTAT program is presented.


2020 ◽  
Vol 10 (18) ◽  
pp. 6565
Author(s):  
Risky Ayu Febriani ◽  
Hong-Seok Park ◽  
Chang-Myung Lee

Currently, challenges in quality improvement have driven various enterprises to create quality management systems in smart factories. The development of quality management systems enables quality control for reviewing product quality, identification, and eliminating product failures. However, process adjustment in quality control decisions may be hard to determine when failures are detected. To overcome this problem, an expert system (ES) that applies the failure mode and effects analysis (FMEA) method for developing quality control systems in brake disc production lines is considered. This quality control system concentrates on analyzing product defects that occur frequently in the production line and will lead to an improved performance of the braking system; the selected product defects are disc thickness variation (DTV), runout, and parallelism. This quality control system developed two modules, the designed FMEA (DFMEA) and component FMEA, which apply a rule-based algorithm for selecting actions. We propose the rules of configuration into the expert system code. The results indicate that the operator can carry out a quality control system with decision-making that can be supported by intelligent searching and reasoning in an expert system.


Author(s):  
Ping Chong Chua ◽  
Seung Ki Moon ◽  
Yen Ting Ng

Abstract As additive manufacturing (AM) develops and matures over the years, it has reached a stage where implementation into a conventional production system becomes possible. With additive manufacturing currently suitable for product personalization/high customization yet small volume production, there are various ways of implementation in a conventional production line. This aim of this paper is to explore the implementation of additive manufacturing in a complementary manner to process internal job orders of large quantities in make-to-stock (MTS) production. Splitting of production orders is allowed and production can be carried out by both injection moulding and additive manufacturing processes simultaneously, with the latter being able to produce various MTS parts in a single build. NSGA-III together with scheduling and rule-based heuristic for allocation of parts on build plate of additive manufacturing process is used to solve the multi-objective implementation problem, with performance measures being cost, scheduling and sustainability. The algorithm will be incorporated with scheduling and rule-based heuristic for allocation of parts on build plate of additive manufacturing process. An experiment using an industry case study is conducted to compare the performance measures with and without implementing additive manufacturing.


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