Neuro- Fuzzy Statistical Process Control [PDF]
مدیریت صنعتی, 2009 Controlling a system with minimum information and regardless of dynamic equations which dominate systems is the aim of intelligent control. One of the common approaches for process control is applying Shewhart's quality control charts.
Nezamalldin Faghih, Amir Abbas Masoumi
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Research on Process Quality Prediction and Control of Spindle Housings in Flexible Production Lines
Applied Sciences, 2023 The characteristics of flexible production lines, i.e., “multiple steps and few processes”, increase the complexity of the process and the difficulty of process quality control, but are not conducive for improving the quality and efficiency of a ...
Bo Huang +7 more
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PROCESS CAPABILITY IMPROVEMENT FOR SWINGARM BORING OPERATION: A CASE STUDY [PDF]
Proceedings on Engineering Sciences, 2020 A swingarm is the most crucial component of modern motorcycles use to provide suspension, hold the rear axle firmly, manage load distribution and maintain the centre of gravity. Boring is one of the most critical operation in swing arm manufacturing. The
Bhanudas Bachchhav
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Statistical process control of manufacturing tablets for antiretroviral therapy [PDF]
Brazilian Journal of Pharmaceutical Sciences, 2023 In this study, the manufacturing process of lamivudine (3TC) and zidovudine (AZT) tablets (150+300 mg respectively) was evaluated using statistical process control (SPC) tools.
Nataly Paredes da Rocha +6 more
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INFLUENCE OF EA CONTROL PARAMETERS TO OPTIMIZATION PROCESS OF FJSSP PROBLEM
, 2020 The ability of Evolution Algorithms (EA) to find an optimal solution is usually given by various algorithm operators. Population size and a maximal number of generations are usually set base on available timespan.
Králíková, Růžena +2 more
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The statistical process control methods - SPC [PDF]
Acta Montanistica Slovaca, 1998 Methods of statistical evaluation of quality SPC (item 20 of the documentation system of quality control of ISO norm, series 900) of various processes, products and services belong amongst basic qualitative methods that enable us to analyse and compare
Floreková Ľubica
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Neural-Network-Based Nonlinear Model Predictive Control of Multiscale Crystallization Process
, 2022 The purpose of this study was to develop an integrated control strategy for multiscale crystallization processes. An image analysis method using a deep learning neural network is used to measure the fine-scale information of the crystallization process ...
Liangyong Wang, Yaolong Zhu
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Analysis of Surgical Suture Production Process Control Using Statistical Process Control (SPC) Methods [PDF]
E3S Web of ConferencesThe medical industry currently has very high-quality standards for medical products such as surgical sutures. PT XYZ, as a well-known manufacturer in this industry, faces challenges in reducing the level of surgical suture product defects.
Fathiya Nurul +3 more
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Process Performance Analysis in Large-Scale Systems Integrating Different Sources of Information [PDF]
, 2012 17.09.13 KB. ok to add accepted version to Spiral. IFACProcess auditing using historical data can identify causes for poor performance and reveal opportunities to improve process operation. To date, the data used has been limited to process measurements;
Rapp, Knut, Thornhill, NF, Cecílio, IM
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Robust kernel distance multivariate control chart using support vector principles [PDF]
, 2012 It is important to monitor manufacturing processes in order to improve product quality and reduce production cost. Statistical Process Control (SPC) is the most commonly used method for process monitoring, in particular making distinctions between ...
Chinnam, R. B. +2 more
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