A Comprehensive Assessment Approach to Evaluate the Trustworthiness of Manufacturing Services in Cloud Manufacturing Environment

Lou, Ping; Yuan, Liping; Hu, Jiwei; Yan, Junwei; Fu, Jian

doi:10.1109/access.2018.2837664

Cited by 22 publications

(20 citation statements)

References 41 publications

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“…With the results obtained using the DEA model of Super Efficiency oriented to inputs with non-decreasing returns to scale, the same conclusions were obtained as those obtained through Statistical Process Control and DOE, so that the order of preference of the die-nozzle models is as follows: 3DND, 1DNL, 2DNV, 4DNK, and 5DNS [32,33]. The methods to optimize the design proposed in [1] were very useful for following work in the improvement of tooling and manufacturing processes.…”

Section: Discussionsupporting

confidence: 62%

“…Table 6 presents the the results of the ANOVA for the three variables: duration, volume of production, and volume of scrap, it can be seen that the value P test is limited to a precision of only 1 thousandth, so any value less than this amount is presented as 0.000 [32]. In this case, it can be observed that there is a significant difference in the average duration of at least two die-nozzle models, with a value of significance α = 0.05 [33]. The results established that the 3DND and 1DNL models are the longest, so they produce more meters of cable than the others.…”

Section: Results 23-awg Production Processmentioning

confidence: 97%

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Statistical Analysis and Data Envelopment Analysis to Improve the Efficiency of Manufacturing Process of Electrical Conductors

Zamora-Antuñano

Cruz-Salinas²,

Rodríguez‐Reséndiz

et al. 2019

Applied Sciences

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The main focus of this research was to develop an approach using statistical tools and Data envelopment analysis (DEA) to tackling productivity measurements and benchmarking problems in electrical conductor manufacturing environment. In the present work, a tooling efficiency study was carried out with a nozzle used for the manufacture of 23-AWG wires. The efficiency of five types of tooling, four non-Mexican-manufactured types and one Mexican-manufactured type, were compared. Analysis of Variance (ANOVA) and the Tukey test were applied. Six factors were considered that influence of the performance of the tooling during the manufacturing process: productivity, quality, time, machine, operator, and color of the insulating material, but the research work focuses on the efficiency of the tooling die-nozzle. The results demonstrated that two die-nozzle models exhibited the best performance; one of them was the Mexican model, surpassed by a non-Mexican model, the capability process index Cpk = 1.26 manifested a better performance for the 3DND die-nozzle according to the statistical analysis and the tests performed. Subsequently, through a super-efficiency DEA model of inputs-oriented with non-decreasing returns to scale (NDRS). The results obtained in the statistical analysis were corroborated using this technique, its application combined with statistical tools represents an innovation for knowledge in manufacturing processes of electrical conductors. Input data were obtained at a manufacturer of electrical conductors supplier of the automotive sector in the Querétaro City of Mexico.

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Section: Discussionsupporting

confidence: 62%

Section: Results 23-awg Production Processmentioning

confidence: 97%

Statistical Analysis and Data Envelopment Analysis to Improve the Efficiency of Manufacturing Process of Electrical Conductors

Zamora-Antuñano

Cruz-Salinas²,

Rodríguez‐Reséndiz

et al. 2019

Applied Sciences

View full text Add to dashboard Cite

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“…Therefore, information about the phenomena that originated the failure must be obtained, which will be the experimental variables. In this research, a design of experiment was used [20][21][22]. This allowed definition of the different combinations of the variables that duplicate the failure modes in minor time compared to the traditional methods.…”

Section: Methodsmentioning

confidence: 99%

“…This allowed definition of the different combinations of the variables that duplicate the failure modes in minor time compared to the traditional methods. Table 1 shows the optimal experimental design obtained to realize the different combinations of the variables and its level, where -1 represents the low level and 1 represents the major level [10][11][12][13][15][16][17][18][19][20][21][22][23]. 24] made the corresponding calculations of the statistical analysis and the experiments design for calculating the accelerated factor of the temperature test.…”

Section: Methodsmentioning

confidence: 99%

Reliable Method to Detect Alloy Soldering Fractures under Accelerated Life Test

et al. 2019

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In this research, we investigated the development and design of the Accelerated Life Test (ALT) and its approach to the waste of material. The development of a reliability model is based on the moment at which failure appears. The faults detected in welding joints during this research prevented proper current flow within electronic components and this interruption of current is considered a critical system failure. Minitab v18 was used to process data. Through statistical analysis, it was determined that the sample size was adequate with a 95% level of significance. A Shapiro Wilk analysis was carried out to determine the normality of the data, where a p-value of 0.1349 was obtained, which indicates that the data are normal. A Weibull analysis was applied, and it was observed that the data adjusted to the regression analysis and Weibull’s reliability distribution. The results showed that failure phenomena can occur during electronic assembly due to the values of R being too high and too close to each other. Significant issues included the welding alloy, temperature, and the interaction between the welding alloy and vibration. It is observed that with high temperature, the number of faults in the solder alloy used for tin and lead and for tin, silver, and copper were lower. 17 electronic assemblies with measures of 2 cm × 2 cm were fabricated, where components such as leads and electric resistance were used. The objective of analyzing this is to obtain the characteristics of the soldering alloy. Electronic components of this type are used worldwide in all types of electronic components, including: TVs, cell phones, tablet, computers, resistors, diodes, LEDs, and capacitors. For this work, the components were built based on an LED and a diode.

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“…Anmin Jiang et al put forward the improved fuzzy comprehensive evaluation method, and applied it to an example [14][15][16][17][18][19][20][21][22]. Ping L. et al found a method to evaluate the reliability of manufacturing services in the cloud manufacturing environment [23]. Li Y. et al applied the fuzzy comprehensive evaluation method to the energy management system of the Internet of Things, and achieved good results [24].…”

Section: Introductionmentioning

confidence: 99%

Method of Desulfurization Process Selection Based on Improved Fuzzy Comprehensive Evaluation: A Case Study of Papermaking Desulfurization in China

Wang

Zhu

et al. 2019

Processes

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With the increasingly prominent global energy and environmental problems, more and more enterprises have been required to desulfurize the exhausted gases. Different enterprises have different demands for the desulfurization process, thus the choice of desulfurization process methods has become a focus of attention. Since the evaluation of the desulfurization process involves many factors, this paper proposes an improved fuzzy comprehensive evaluation method to evaluate the selection of desulfurization process when the traditional evaluation method is not applicable. Firstly, an evaluation system with two rating indicators was constructed, which considers the subjective and objective weights comprehensively. Secondly using the two hierarchical indicators, an effective desulfurization process method was obtained according to the principle of maximum membership degree. Finally, we took a real papermaking factory as an example to illustrate the detailed implementation processes of this method. The result shows that the model could be used as a comprehensive evaluation tool to select desulfurization scheme or optimize the desulfurization process.

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A Comprehensive Assessment Approach to Evaluate the Trustworthiness of Manufacturing Services in Cloud Manufacturing Environment

Cited by 22 publications

References 41 publications

Statistical Analysis and Data Envelopment Analysis to Improve the Efficiency of Manufacturing Process of Electrical Conductors

Statistical Analysis and Data Envelopment Analysis to Improve the Efficiency of Manufacturing Process of Electrical Conductors

Reliable Method to Detect Alloy Soldering Fractures under Accelerated Life Test

Method of Desulfurization Process Selection Based on Improved Fuzzy Comprehensive Evaluation: A Case Study of Papermaking Desulfurization in China

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