Results 21 to 30 of about 2,174 (148)
Statistical Quality Control is a valuable strategy that applies to the statistical technique for monitoring a manufacturing system under particular situations.
Mohammad Ahmad, Weihu Cheng
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A New Dispersion Control Chart for Handling the Neutrosophic Data
The control chart based on mean deviation (MD ) is customary used as a robust alternative to the existing Shewhart control charts for observing changes in dispersion parameter of the process.
Zahid Khan +4 more
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Resiliency oriented control of a smart microgrid with photovoltaic modules
The resiliency of a standalone microgrid is of considerable issue because the available regulation measures and capabilities are limited. Given this background, this paper presented a new mathematical model for a detailed photovoltaic (PV) module and the
Sambeet Mishra +5 more
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Optimal Route Generation and Route-Following Control for Autonomous Vessel
In this study, basic research was conducted regarding the era of autonomous vessels and artificial intelligence (deep learning, big data, etc.). When a vessel is navigating autonomously, it must determine the optimal route by itself and accurately follow
Min-Kyu Kim, Jong-Hwa Kim, Hyun Yang
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Fuzzy x- and s Control Charts: A Data-Adaptability and Human-Acceptance Approach
For sequentially monitoring and controlling average and variability of an online manufacturing process, x¯ and s control charts are widely utilized tools, whose constructions require the data to be real (precise) numbers.
Ming-Hung Shu +4 more
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Fuzzy Logic Technique Based on Classification Function Application in Quality Control
This work introduces a method for fuzzy control charts. Fuzzy theory and the foundations of Shew Hart control charts form the foundation of the process. The information was gathered from one of the key production facilities to raise the quality standard
Salman Hussien Omran +5 more
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Uncontinuous Process Control in Irankhodroo, Mehvarsazan Company by Fuzzy Approach [PDF]
Nowadays statistical control process plays an important role in quality control of products. So wide variety of methods are utilized to do so. But since the most percentage of available information in the discrete control charts are verbal terms, fuzzy ...
مهدی عباسی +2 more
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Perfomance Fuzzy Multinomial Control Chart
One of the most useful tool in Statistics Process Control is control chart. This technique has been used widely in industry and services. One of the most simple attribute control chart is p chart, when the item classified into to categories. In its development, if each item of quality characteristics classify in more than two categories multinomial ...
null Wibawati +4 more
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Quality improvement in manufacturing process through six sigma: A case study of Indian MSME firm [PDF]
Manufacturing sector is instrumental in driving economic growth of a country. With a vision for India to be a global manufacturing hub, boost the economic development and create ample employment opportunities, the Government of India has taken several ...
Sharma Pallavi +3 more
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Presenting a Model of Fuzzy Statistical Process Control with Fuzzy Mode Method to Control Product Defects [PDF]
The classical control charts by using precise and specified data divide the production process into two groups: in-control or out of control, while the fuzzy sets with the definition continuous and cohesive membership functions and also using ambiguous ...
Reza Esmaeilpour +2 more
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