Study on the Product Quality Control in Small Batch Trial Process

2013 ◽  
Vol 694-697 ◽  
pp. 3507-3511 ◽  
Author(s):  
Li Yan Tao ◽  
Man Zhang ◽  
Zu Da Li
Keyword(s):  
Quality Control ◽  
Product Quality ◽  
Historical Data ◽  
Similarity Theory ◽  
Analytic Hierarchy ◽  
Trial Process ◽  
Data Capacity ◽  
Product Manufacturing ◽  
Transformation Methods ◽  
Hierarchy Process

An Analytic Hierarchy Process (AHP) method was used to determine the key process in small batch trial process. Combining with the historical data of the key process in the product manufacturing process, similarity theory and data transformation methods, the data capacity relating to the product quality characteristics were enlarged. Through drawing a control chart of the process, the quality control in small batch trial process was realized.

Optimal Cloud-Path Selection in Mobile Cloud Offloading Systems Based on QoS Criteria

2013 ◽  
Vol 5 (4) ◽  
pp. 30-47 ◽  
Author(s):  
Huaming Wu ◽  
Qiushi Wang ◽  
Katinka Wolter
Keyword(s):  
Historical Data ◽  
Cloud Service ◽  
Fuzzy Topsis ◽  
Path Selection ◽  
Cloud Services ◽  
Analytic Hierarchy ◽  
Fuzzy Environment ◽  
Order Preference ◽  
Hierarchy Process

Recently, there emerge a variety of clouds in sky and thus, several similar cloud services (from different cloud venders) can be provided to a mobile end device. The goal of cloud-path selection is to find an optimal cloud-path pair between the mobile device and a cloud among a certain class of clouds that provide the same service, in order to carry out the offloaded computation tasks. It is easy to choose the optimal cloud-path to save execution time incurred by offloading program to cloud when considering only one factor. However, there are many Quality of Service (QoS)-based criteria such as performance, bandwidth, financial, security and availability that need to be considered when making final decisions. In this paper, a multiple criteria decision analysis approach based on the analytic hierarchy process (AHP) and the technique for order preference by similarity to ideal solution (TOPSIS) in a fuzzy environment is proposed to decide which cloud is the most suitable one for offloading. The AHP is used to determine the weights of the criteria for cloud-path selection, while fuzzy TOPSIS is to obtain the final ranking of alternative clouds. The numerical analysis is performed to evaluate the model. Furthermore, a method based on historical data of the mobile device’s experiences is used to evaluate the importance weights of the alternative cloud service, when it is challenge to measure and acquire the parameters of criteria timely in practical systems.

Indication System Weight Calculation on Quality Control of Production Process for Medical Devices

2014 ◽  
Vol 513-517 ◽  
pp. 3139-3142
Author(s):  
Hong Xing Zhang ◽  
Yang Liu ◽  
Xue Kui Shi
Keyword(s):  
Quality Control ◽  
Analytic Hierarchy Process ◽  
Medical Devices ◽  
Analysis Model ◽  
Analytic Hierarchy ◽  
Basic Work ◽  
Weight Calculation ◽  
Productive Process ◽  
Indication System ◽  
Hierarchy Process

Medical devices is playing an increasingly important role in the course of people's life, it has a very important significance to strengthen the quality control of medical devices productive process. For the difficult issues of evaluation on quality control of productive process, this paper is based on quantitative analysis, using Analytic Hierarchy Process method to research. Firstly, to construct the indication system hierarchical analysis model, and to describe each indicators ; Then, on the basis of clarifying the advantages of Analytic Hierarchy Process, to set up mathematical model, including constructing judgment matrix and single-level sorting in two steps. Finally, to calculate the weight of indication system according to the solving steps. The research contents of this paper, is the basic work of evaluation for the quality control of medical device productive process, for the safe production of medical devices companies to provide technical and methodological support.

scholarly journals Engineering product quality control at all stages of product life

2018 ◽  
Vol 2018 (3) ◽  
pp. 22-25
Author(s):  
Анатолий Суслов ◽  
Anatoliy Suslov
Keyword(s):  
Quality Control ◽  
Product Quality ◽  
Competitive Ability ◽  
High Quality ◽  
Product Quality Control ◽  
Engineering Product ◽  
Product Life ◽  
Assembly Operation ◽  
Product Manufacturing

In the paper it is shown that at quality control of engineering products particular attention should be paid to engineering and technological measures which exert basic influence upon assurance and quality increase. Technical and technological measures are shown at all stages of product life: marketing; design; technological pre-production; manufacturing materials, blanks, parts and their assembly; operation; repair and utilization. It is emphasized that still at the preliminary stages it is necessary that a factor of competitive ability of a product designed should be defined. It is shown convincingly that engineering product quality is formed at the stage of design and ensured at the stage of manufacturing. The realization of measures shown in the paper allows ensuring high-quality competitive engineering product manufacturing at enterprises.

scholarly journals Method of improve the level of product quality

2021 ◽  
Vol 27 (1) ◽  
pp. 1-7
Author(s):  
Dominika Siwiec ◽  
Andrzej Pacana
Keyword(s):  
Product Quality ◽  
Decision Problem ◽  
Quality Level ◽  
Destructive Testing ◽  
Analytic Hierarchy ◽  
Decision Methods ◽  
The Right ◽  
Hierarchy Process ◽  
Non Destructive

Abstract Meeting customers’ requirements and achieved the right level of product quality is key action of enterprises. It is being done by controlling the product, using for example non-destructive testing (NDT). But the NDT not indicating what is the root of incompatibility. Additionally, previous research does not include the decision methods, which would be related the identify the causes of the problem as part of improving the product quality. Therefore, the aim is supporting the process of improving the product quality level in the context of precisely identify the incompatibility and the root of their occurrence with including the solve decision problem. In this aim, it was assumed that using after the NDT research in connection way: brainstorming, cause and effect diagram, AHP method (Fuzzy Analytic Hierarchy Process) and the 5Why method, will be allowed on effective identify the root of the problem. The method test was carried out for the porosity on a welded mechanical seal made of steel 410, which was identified by the fluorescence method (FPI) in Podkarpacie enterprise. The analysis has shown the effectiveness of using after NDT the combined methods as part of identifying the incompatibility and precisely identifying the root of its occurrence in context of solving the decision problem. The proposed method can be used to improving the quality of other products, for example from the aviation and automotive industry, as part of meeting customer requirements. Originality is the combined NDT research with quality management techniques and supported the process of improving the quality level of the product by implementing in this sequence the fuzzy multicriteria decision method.

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