Authors: Dariusz Pllinta, Ewa Golińska, Aleksander Kulesz
Abstract: The article describes technical specification requirements of the international ISO / TS 16949 related to measurement systems assessment. These requirements were confronted with specific customer requirements (CSR) of the VW group included in the VDA 5 manual. On an example of a company from the automotive industry, authors presented the main differences in the two approaches to the same problem and the resulting consequences arising during external audits performed by customers and certification bodies.
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Abstract: Measurement System Analysis (MSA) comprises a set of methods aiming to identify and assess variation of measurement results that can be assigned to a measurement system (gauge, personnel, procedure, standard, ambient conditions, etc.). It became a requirement of quality management systems in automotive industry, according to ISO/TS 16949. Moreover, most of automotive suppliers have to meet OEMs requirements specified in APQP (Advanced Product Quality Planning), PPAP (Production Part Approval Process) and MSA manuals. Many other industries adopted the same approach, expecting their suppliers to perform MSA in compliance with the above guidelines. The basic requirement regarding MSA scope is that it should be carried out for all measuring instruments referred to in Control Plans. Among methods available, gauge R&R seems to be the most popular method of measuring system capability assessment. However, although the assessment has to be performed periodically, none of the above mentioned guidelines suggest any method for MSA planning. The paper describes a few propositions on how the problem can be practically resolved basing on a risk associated with each measurement system. The first proposed method is based on simple risk analysis, which can be easily run together with developing a Control Plan. It uses process capability index (required or achieved) and characteristics impact on product/process function for making a decision on MSA frequency and scope. The variant of the method uses gauge robustness assessment as another risk factor.The other proposition assumes that a process FMEA (Failure Mode and Effects Analysis) is developed. The method uses performed FMEA to establish priorities for MSA. Basing on the priorities, frequency and scope of MSA can be planned.
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Abstract: In this paper, we present the multi-channel transmission strategy which has primary user’s protection mechanism to improve the spectrum efficiency and study its performance under perfect and imperfect sensing. This paper also introduce IOV.IOV (Internet of Vehicle) includes the features of WSN (Wireless Sensor Networks) and VANET (Vehicular Ad Hoc Networks), is becoming the tendency in vehicular network.
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Authors: Iulian Alexandru Orzan, Constantin Buzatu
Abstract: Verification of each dimension in time and in quality is a problem that can have serious effects over the production rate and the costs of each company. Machine vision it can be defined as machines with their own set of eyes. Using their vision, machines inspect products for defects by detecting the presence or absence of parts, taking measurements, reading codes, etc. In this paper is presented an alternative solution to verify the dimensions and position or presence of the assembly parts according to each specification and the measuring capabilities for the video equipment used in the practical example in order to decide how suitable the video equipment is for serial production and influences over the quality measurement and quality control.
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Authors: Rui Ping Chen, Zhong Xun Wang, Xin Qiao Yu
Abstract: Decoding algorithms with strong practical value not only have good decoding performance, but also have the computation complexity as low as possible. For this purpose, the paper points out the modified min-sum decoding algorithm(M-MSA). On the condition of no increasing in the decoding complexity, it makes the error-correcting performance improved by adding the appropriate scaling factor based on the min-sum algorithm(MSA), and it is very suitable for hardware implementation. Simulation results show that this algorithm has good BER performance, low complexity and low hardware resource utilization, and it would be well applied in the future.
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Authors: H.Z. Wu, X.J. Wei, W.H. Li
Abstract: The article discusses the application of MSA in the process of quality control of production, under the relevant requirements in ISO/TS16949. With DWST experimental platform of large electronic current as an example, it analyzes the data achievement, the application of statistics and the methods of analysis report in the evaluation of variations on bias, stability, linearity, repeatability and reproducibility. The research gives a guide to the effective implement of MSA in the production and manufacture.
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