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Journal articles on the topic 'Capability of the measurement process'

Author: Grafiati

Published: 28 June 2021

Last updated: 17 February 2022

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1

Persijn, Marcel, and Yves Van Nuland. "RELATION BETWEEN MEASUREMENT SYSTEM CAPABILITY AND PROCESS CAPABILITY." Quality Engineering 9, no. 1 (January 1996): 95–98. http://dx.doi.org/10.1080/08982119608919020.

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2

McNEESE, WILLIAM H., and ROBERT A. KLEIN. "MEASUREMENT SYSTEMS, SAMPLING, AND PROCESS CAPABILITY." Quality Engineering 4, no. 1 (January 1991): 21–39. http://dx.doi.org/10.1080/08982119108918890.

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3

Ding, Jian Jie. "Software Product Line Measurement Process Capability Maturity Model." Applied Mechanics and Materials 536-537 (April 2014): 673–77. http://dx.doi.org/10.4028/www.scientific.net/amm.536-537.673.

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Software product line has been a key area of concern in software industry due to its advantage on the productivity and quality of software products. At same time, both software organizations and the academic community are aware that the software measurement is necessary in software product line. However, there are many problems: what is difference in software product line measurement, how about their measurement process in the end, etc. It addresses this problem by creating a specialized Software Product Line Measurement Process Capability Maturity Model (SPLMP-CMM). SPLMP-CMM including five maturity levels: initial, tentatively, defined, compesive and optimized. The model focus on the basic practice areas which should be implementing of every level, it helps the originations to assess their measurement process and provides guidance for them to a higher maturity level.

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4

Kippenbrock, K., and G. Lanza. "Prozessfähigkeitsuntersuchung mit Messunsicherheit*/Improving process capability assessments." wt Werkstattstechnik online 105, no. 07-08 (2015): 555–59. http://dx.doi.org/10.37544/1436-4980-2015-07-08-113.

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Prozessfähigkeitsuntersuchungen vergleichen die Verteilung eines Fertigungsprozesses mit den definierten Toleranzen eines Qualitätsmerkmals. Allerdings kann die Messunsicherheit die beobachtete Qualität des Fertigungsprozesses dabei erheblich beeinflussen. Um die Untersuchung von Prozessfähigkeiten in der diskreten Fertigung zu verbessern, wird die „Entfaltung“ als allgemeine Methode zur mathematischen Korrektur von systematischen und zufälligen Messabweichungen vorgeschlagen.   Process capability assessments compare the distribution of a manufacturing process to the defined tolerances of the manufactured part. However, measurement uncertainty can greatly distort the observed performance of manufacturing processes. To reduce the impact of measurement uncertainty on the assessment of a manufacturing process distribution, deconvolution is proposed as a general method to mathematically correct both systematic and random measurement deviations.

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5

Barnfather, J. D., M. J. Goodfellow, and T. Abram. "Photogrammetric measurement process capability for metrology assisted robotic machining." Measurement 78 (January 2016): 29–41. http://dx.doi.org/10.1016/j.measurement.2015.09.045.

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6

Bordignon, Silvano, and Michele Scagliarini. "Statistical analysis of process capability indices with measurement errors." Quality and Reliability Engineering International 18, no. 4 (2002): 321–32. http://dx.doi.org/10.1002/qre.464.

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7

Hsu, B. M., M. H. Shu, and W. L. Pearn. "Measuring process capability based onCpmk with gauge measurement errors." Quality and Reliability Engineering International 23, no. 5 (2007): 597–614. http://dx.doi.org/10.1002/qre.836.

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8

Coker, S. A., S. J. Oh, and Y. C. Shin. "In-Process Monitoring of Surface Roughness Utilizing Ultrasound." Journal of Manufacturing Science and Engineering 120, no. 1 (February 1, 1998): 197–200. http://dx.doi.org/10.1115/1.2830101.

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This paper presents the capability of an ultrasonic system for the in-process surface roughness measurement of machined parts. The system uses a focused ultrasonic transducer to measure the reflected amplitude variation of an ultrasonic beam incident on the surface. The robustness of the system is examined by applying the technique to different machined surfaces and investigating the effect of various coupling fluids. Experimental results show that the technique is applicable to the surfaces produced by most production processes. In addition, the capability of in-process measurements is demonstrated by adapting the system to a CNC machining center. Results show in-process measurements correlate well with off-line profilometer data. Tolerance to machine vibration is also shown by comparing the measurement data with the machine spindle on and off.

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9

Souza, Lucas de Paula Ferreira, and Cláudio Milton Montenegro Campos. "Evaluation of turbidity measuring instruments using statistical process control." Ciência e Agrotecnologia 36, no. 4 (August 2012): 424–30. http://dx.doi.org/10.1590/s1413-70542012000400006.

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The quality management system (QMS) and environmental management system (EMS) are currently being widely developed in laboratories, and have contributed to significant improvements in measurement management processes and client opinion. The purpose of this work is to establish appropriate methodologies for assessing the turbidity measurement that guarantee the quality of the results concerning precision and accuracy and also to test the service performance of the Water Analysis Laboratory of the Engineering Department (LAADEG) of Federal University of Lavras (UFLA). The research assessed two bench turbidimeters "A and B" through a statistical process capability study, analyzing the potential capability indexes (Cp) and performance capability (Cpk). We identified special causes also present in the control through non predetermined random patterns. After the studies, it was found that turbidimeter "B" should be used for all turbidity measurements in LAADEG, since its precision was higher than turbidimeter "A".

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10

Young, G., Y. Lewis, S. Coleman, and C. Hunt. "Process capability measurement of frequent replacement toric soft contact lenses." Contact Lens and Anterior Eye 24, no. 1 (January 2001): 25–33. http://dx.doi.org/10.1016/s1367-0484(01)80006-0.

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11

Young, G., Y. Lewis, S. Coleman, and C. Hunt. "Process capability measurement of frequent replacement spherical soft contact lenses." Contact Lens and Anterior Eye 22, no. 4 (January 1999): 127–35. http://dx.doi.org/10.1016/s1367-0484(99)80013-7.

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12

Pearn, W. L., and Mou-Yuan Liao. "Measuring process capability based on CPK with gauge measurement errors." Microelectronics Reliability 45, no. 3-4 (March 2005): 739–51. http://dx.doi.org/10.1016/j.microrel.2004.09.005.

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13

Genta, Gianfranco, and Maurizio Galetto. "Study of measurement process capability with non-normal data distributions." Procedia CIRP 75 (2018): 385–90. http://dx.doi.org/10.1016/j.procir.2018.04.040.

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14

Young, G., Y. Lewis, S. Coleman, and C. Hunt. "PROCESS CAPABILITY MEASUREMENT OF FREQUENT REPLACEMENT TORIC SOFT CONTACT LENSES." Contact Lens and Anterior Eye 24, no. 1 (2001): 25–33. http://dx.doi.org/10.1038/sj.clae.4300239.

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15

Straka, Ľuboslav, and Radoslav Kreheľ. "Determination of the Suitability of the Method Used for Evaluation Measurement Equipment Capability." Applied Mechanics and Materials 616 (August 2014): 118–25. http://dx.doi.org/10.4028/www.scientific.net/amm.616.118.

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Complex quality evaluation of manufacturing and control process is based on assessment of capability of measuring equipment. Substantiation of measuring equipment capability is evoked by constantly growing need to prove suitability of chosen inspection method from a view of global approach to inspection process. The contribution described evaluation of capability of digital indicator within its entire measuring range (0 to 12.7 mm) by the means of measurement equipment index Cgm and Measurement equipment index Golden Device Cgmk. Evaluation of capability of the given measuring equipment digital indicator Mitutoyo was carried out by repeated measurements of standards with dimensions representing lower, middle and upper range of the measuring instrument at given accuracy of measuring equipment 2μm.

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16

Tošenovský, Filip, and Josef Tošenovský. "Process Capability and Data Contamination." Quality Innovation Prosperity 21, no. 3 (November 30, 2017): 50. http://dx.doi.org/10.12776/qip.v21i3.910.

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<p><strong>Purpose:</strong> The paper centres on process capability and its relation to data contamination. Process capability may be distorted due to imprecise data. The paper analyses to what extent capability changes reflect problems in data so that the changes can be attributed to data sampling rather than the true performance of the process. This is important because it is usually much simpler to increase the precision of data sampling than the process itself.</p><p><strong>Methodology/Approach:</strong> The paper has two major parts. In part one, effect of data contamination on the observed process characteristic is analysed. The effect is analysed using data obtained from simulated random drawings and the chi-squared test. In the other part, reaction of capability to data contamination is observed. The capability is measured by a univariate capability index.</p><p><strong>Findings:</strong> Regarding the sensitivity of the index to contamination, it is different depending on the capability before the contamination. This leads to conclusions about when the company using the index should focus more on the way the data is measured, and when it should focus more on improving the process in question. The analysis shows that if the company is used to high levels of capability and records its drop, it is worth analysing its measurement system first, as the index is at higher levels more sensitive to data contamination.</p><p><strong>Research Limitation/implication:</strong> The study concerns a single univariate index, and the contamination is modelled with only several probability distributions. </p><p><strong>Originality/Value of paper:</strong> The findings are not difficult to detect, but are not known in practice where companies do not realize that problems with their process capability may sometimes lie in the data they use and not in the process itself.</p>

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17

Mahshid, Rasoul, Zahra Mansourvar, and Hans Nørgaard Hansen. "Tolerance analysis in manufacturing using process capability ratio with measurement uncertainty." Precision Engineering 52 (April 2018): 201–10. http://dx.doi.org/10.1016/j.precisioneng.2017.12.008.

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18

Gusberti, Tomoe D. H., and Márcia E. S. Echeveste. "An Organizational Capability-Based Performance Measurement Model for Technology Conversion Process." Journal of CENTRUM Cathedra: The Business and Economics Research Journal 5, no. 2 (September 10, 2012): 225–42. http://dx.doi.org/10.7835/jcc-berj-2012-0076.

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19

Pearn, W. L., M. H. Shu, and B. M. Hsu. "Testing process capability based onCpmin the presence of random measurement errors." Journal of Applied Statistics 32, no. 10 (December 2005): 1003–24. http://dx.doi.org/10.1080/02664760500164951.

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20

Pearn, W. L., and Mou-Yuan Liao. "One-sided Process Capability Assessment in the Presence of Measurement Errors." Quality and Reliability Engineering International 22, no. 7 (2006): 771–85. http://dx.doi.org/10.1002/qre.727.

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21

Li, Jin Hai, and Da Wei Wang. "Application of Measuring Capability Index in the Export of the Measurement Requirement." Applied Mechanics and Materials 530-531 (February 2014): 101–4. http://dx.doi.org/10.4028/www.scientific.net/amm.530-531.101.

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Measurement process is a specific process to support product quality, and export measurement requirements is the beginning of the measurement process control, it is important to achieve the goals of product quality and manage risk of incorrect measurement results. Measurement requirements, including the requirements for the measurement process and the requirements for measuring equipment, measuring requirements, measuring staff, measurement method, ambient conditions and the measured object as a system, use Measurement Capability Index, quantitatively export measurement requirements of measurement processes and measuring equipment to ensure that measurement processes and measuring equipment satisfy the intended use, make the process of measurement requirement derived more scientific and more standard.

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22

Peng, Jianping, Jing Quan, and Le Peng. "IT Application Maturity, Management Institutional Capability and Process Management Capability." Journal of Organizational and End User Computing 31, no. 1 (January 2019): 61–85. http://dx.doi.org/10.4018/joeuc.2019010104.

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This article studies the influence of enterprise core competence on IT application maturity (ITAM) from the perspectives of management institutional and process management capabilities. The roles of firm ownership and international organization of standard (ISO) certifications are also studied. Based on reliable and valid measurements of IT applications maturity, management institutional capability, and process management capability, the authors collect corresponding data from 123 companies in China. They find a positive relationship between capabilities and ITAM. Management institutional capability has a stronger relationship with ITAM in Chinese state-owned enterprises or public companies; while multinational companies or joint ventures witness a stronger relationship with process management capability. ISO helps companies with low management institutional capability to improve ITAM. However, for companies with higher management institutional capability, ISO mitigates the relationship and poses a shift of the importance to process management capability in improving ITAM.

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23

Danai, Kourosh, and Hsinyung Chin. "Fault Diagnosis With Process Uncertainty." Journal of Dynamic Systems, Measurement, and Control 113, no. 3 (September 1, 1991): 339–43. http://dx.doi.org/10.1115/1.2896416.

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A nonparametric pattern classification method is introduced for fault diagnosis of complex systems. This method represents the fault signatures by the columns of a multi-valued influence matrix (MVIM), and uses adaptation to cope with fault signature variability. In this method, the measurements are monitored on-line and flagged upon the detection of an abnormality. Fault diagnosis is performed by matching this vector of flagged measurements against the columns of the influence matrix. The MVIM method has the capability to assess the diagnosability of the system, and use that as the basis for sensor selection and optimization. It also uses diagnostic error feedback for adaptation, which enables it to estimate its diagnostic model based upon a small number of measurement-fault data.

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24

Rakhmawati, Dwi Yuli, Chao-Lung Yang, and Chien-Wei Wu. "Process Capability Assessment for Asymmetric Tolerances with Consideration of Gauge Measurement Errors." Communications in Statistics - Simulation and Computation 45, no. 2 (October 30, 2015): 519–47. http://dx.doi.org/10.1080/03610918.2013.864765.

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25

Dietrich, Edgar. "Capability of Measurement Processes Based on ISO/FDIs 22514-7 and VDA 5." Key Engineering Materials 613 (May 2014): 354–62. http://dx.doi.org/10.4028/www.scientific.net/kem.613.354.

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Calculations of capability and performance indices are based on measurement results. The uncertainty of the measurement process used to generate capability and performance indices must be estimated before the indices can be meaningful. The actual measurement uncertainty needs to be adequately small.To demonstrate the suitability of measurement processes, were in the industrial production process based on the MSA version 4 (AIAG Measurement System Analysis [) is used.Another procedure is based on the ISO 98-3 ISO; Guide to the Expression of Uncertainty in Measurement (GUM) [. But this is not practical in production. Therefore, the ISO 22514-7 [ was published. This document is in the FDIS (Final Draft ISO) status and will be official until mid-2012 as an ISO Standard. The VDA 5; Measurement Process Capability [ is also based on this new standard

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26

Petrianu, Cristian, Marinela Inţă, Daniel Manolea, and Achim Muntean. "Experimental Study of the Laser Cutting Process on 1C45 - 3 mm Steel." Applied Mechanics and Materials 657 (October 2014): 266–70. http://dx.doi.org/10.4028/www.scientific.net/amm.657.266.

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The Paper Presents the Measurement Systems Analysis, System Capability and Optimization of a Laser Cutting System for 3 Mm Alloy Steel. for the Measurement System Analysis and System Capability the Data was Introduced in a Excel Sheet which was Designed According to QS9000 Standard (Measurement System Analysis) to Calculate the Measuring System Repeatability, Reproducibility and Capability. Design of Experiment (DOE) was Used for Process Optimization the Optimization was Conducted in an Operational Manufacturing Environment and was Based on the Design of a 25 Full Factorial Experiment. the Laser Parameters (input) were Feed Rate v, Gas Pressure p, Power P, Frequency F and Efficiency R while the Response was the Roughness Rz. it was Analyzed the Influence of Laser Parameters on Roughness to Obtain a Complex Relationship to Show Roughness Rz Variation According to these Parameters, to Minimize the Rz and Maximize the Feed Rate.

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27

Lee, Do-Kyung. "Analysis of Process Capability Index for Multiple Measurements." Journal of Society of Korea Industrial and Systems Engineering 39, no. 1 (March 30, 2016): 91–97. http://dx.doi.org/10.11627/jkise.2016.39.1.091.

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28

Shang, Shari S. C., and Ya‐Ling Wu. "Measuring process capital from a system model perspective." Business Process Management Journal 19, no. 4 (July 19, 2013): 662–79. http://dx.doi.org/10.1108/bpmj-11-2012-0117.

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PurposeThe purpose of this paper is to seek effective measurement methods that reflect the real value of process capital.Design/methodology/approachFrom a system model perspective, the authors refined the existing knowledge of process measurement by distinguishing three kinds of indicator for the value of process capital: input, output, and the capability to manage process capital. The design of this study, therefore, incorporates a longitudinal analysis of the content of process capital and traces its evolution by attaching a monetary value to activities and assets.FindingsThe tested results reveal that the input measure is a less effective measure for process capital, while the output measure is a valid one for measuring operational and managerial performance of process capital. The capability to manage process capital can predict all dimensions of process capital in both the short‐ and long‐term periods.Practical implicationsA practical view of process capital enhances the current understanding of process capital by highlighting the sustainability of process value and the validity of measuring output and management capability of the process capital. Second, the study results also explain the productivity paradox because of the complexity of the hidden cost of process input and the distinctive capability of organizations in managing technology and complementary resources. Finally, the system view of process capital, from input through process to output of the process capital, with operationalized measures, provides a useful reference for examining intellectual capital.Originality/valueThe findings offer a more robust definition of process capital as a firm's established capability to exploit the knowledge of business processes and organize resources in designing and managing business activities for sustained value.

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29

Villeta, María, Eva María Rubio, Miguel Angel Sebastián, and Alfredo Sanz. "New criterion for evaluating the aptitude of measurement systems in process capability determination." International Journal of Advanced Manufacturing Technology 50, no. 5-8 (February 23, 2010): 689–97. http://dx.doi.org/10.1007/s00170-010-2545-2.

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30

Scagliarini, Michele. "Multivariate process capability using principal component analysis in the presence of measurement errors." AStA Advances in Statistical Analysis 95, no. 2 (March 4, 2011): 113–28. http://dx.doi.org/10.1007/s10182-011-0156-3.

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31

Bordignon, Silvano, and Michele Scagliarini. "Statistical analysis of process capability indices with measurement errors: The case ofC p." Statistical Methods & Applications 10, no. 1-3 (January 2001): 273–85. http://dx.doi.org/10.1007/bf02511652.

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32

Tausendfreund, Andreas, Dirk Stöbener, and Andreas Fischer. "In-Process Measurement of Three-Dimensional Deformations Based on Speckle Photography." Applied Sciences 11, no. 11 (May 28, 2021): 4981. http://dx.doi.org/10.3390/app11114981.

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In the concept of the process signature, the relationship between a material load and the modification remaining in the workpiece is used to better understand and optimize manufacturing processes. The basic prerequisite for this is to be able to measure the loads occurring during the machining process in the form of mechanical deformations. Speckle photography is suitable for this in-process measurement task and is already used in a variety of ways for in-plane deformation measurements. The shortcoming of this fast and robust measurement technique based on image correlation techniques is that out-of-plane deformations in the direction of the measurement system cannot be detected and increases the measurement error of in-plane deformations. In this paper, we investigate a method that infers local out-of-plane motions of the workpiece surface from the decorrelation of speckle patterns and is thus able to reconstruct three-dimensional deformation fields. The implementation of the evaluation method enables a fast reconstruction of 3D deformation fields, so that the in-process capability remains given. First measurements in a deep rolling process show that dynamic deformations underneath the die can be captured and demonstrate the suitability of the speckle method for manufacturing process analysis.

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33

Wang, Jin Zhu, and Jian Jie Ding. "A Framework for Filtrating Software Measures in Software Measurement Process." Advanced Materials Research 605-607 (December 2012): 2479–82. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.2479.

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Software measures filtration is important but often been neglected activity in software measurement. A framework for software measures filtration process that not only satisfied measurement goals but also matched organization capability is been presented. In this framework, software measures that get by GQM been evaluated on the evaluation criteria. The fuzzy mathematic expectation has been proposed to calculate measures evaluation value. The algorithm of verify goal achievable has been described. The framework ensures that measures set are most appropriate.

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34

Czarski, Andrzej, and Piotr Matusiewicz. "Influence of measurement system quality on the evaluation of process capability indices Andrzej Czarski, Piotr Matusiewicz." Metallurgy and Foundry Engineering 38, no. 1 (2012): 25. http://dx.doi.org/10.7494/mafe.2012.38.1.25.

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35

Egan, I., J. M. Ritchie, and P. D. Gardiner. "Measuring performance change in the mechanical design process arena." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 219, no. 12 (December 1, 2005): 851–63. http://dx.doi.org/10.1243/095440505x32724.

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Measurement of the design process is an issue facing business and academic practitioners alike. This paper outlines an approach used to formalize design process measurement within a large electromechanical original equipment manufacturer (OEM) by applying a derivation of the Carnegie-Mellon/Software Engineering Institute systems engineering capability maturity model(R) (SE-CMM(R)), entitled the process capability model-mechanical design (PCM-MD). This new model was created using a similar structure and format of questions as the SE-CMM(R), with modifications to suit mechanical engineering terminology. This was then applied to the mechanical engineering design department of the partner company where it was successfully piloted and then reapplied to produce a picture of how the effectiveness or otherwise of the processes associated with their multidisciplinary mechanical design function altered over time. This work provided the building blocks for further detailed studies to be carried out at other sites in the same company and within the mechanical engineering departments of other firms.

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36

Simion, Carmen. "Assessment of Human Capability, An Effective Tool to Obtain Confidence in the Visual Inspection Process." ACTA Universitatis Cibiniensis 70, no. 1 (December 1, 2018): 1–6. http://dx.doi.org/10.2478/aucts-2018-0001.

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Abstract To consistently produce high quality products, a quality management system must be practically implemented in every organization. One of its core instrument is to ensure the capability of the measurement systems, which are the basis for decisions regarding the behavior of the product critical quality characteristics. Base on requirements of the quality management system, a Measurement System Analysis should be conducted for all measurement system which are mentioned in the organization quality plan. Most problematic measurement system issues come from measuring discrete data, which are usually the result of human judgment (subjective decision) when categorizing products such as good/bad (visual inspection). It was the aim of this paper to address such an issue presenting a case study made in a local company from the Sibiu region, in order to evaluate how capable are the appraisers to visually inspect steel chains. The results were analyzed using MINITAB statistical software with its module called Attribute Agreement Analysis. The conclusion was that the inspection process must be improved by operator training, developing visual aids/boundary samples, establishing standards and set-up procedures.

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37

Amara, Souha Ben, Jamel Dhahri, and Nabil Ben Fredj. "Control chart limits based on true process capability with consideration of measurement system error." International Journal of Metrology and Quality Engineering 7, no. 4 (2016): 401. http://dx.doi.org/10.1051/ijmqe/2016021.

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38

Nikzad, Erfaneh, Amirhossein Amiri, and Farzad Amirkhani. "Estimating total and specific process capability indices in three-stage processes with measurement errors." Journal of Statistical Computation and Simulation 88, no. 15 (July 17, 2018): 3033–64. http://dx.doi.org/10.1080/00949655.2018.1498096.

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39

Brik, Adel, Mohamed Goddi, Jamel Dhahri, and Nabil Ben Fredj. "Assessing process capability index using sampling plan in the presence of measurement system errors." International Journal of Advanced Manufacturing Technology 102, no. 9-12 (February 13, 2019): 3301–13. http://dx.doi.org/10.1007/s00170-019-03404-y.

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40

Lee, Do-Kyung. "Analysis of the Process Capability Index According to the Sample Size of Multi-Measurement." Journal of Society of Korea Industrial and Systems Engineering 42, no. 1 (March 30, 2019): 151–57. http://dx.doi.org/10.11627/jkise.2019.42.1.151.

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41

Wu, Chien-Wei. "Process performance evaluation based on Taguchi capability index with the consideration of measurement errors." International Journal of Systems Science 44, no. 8 (August 2013): 1386–99. http://dx.doi.org/10.1080/00207721.2012.659292.

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42

Shishebori, Davood, and Ali Zeinal Hamadani. "Properties of multivariate process capability in the presence of gauge measurement errors and dependency measure of process variables." Journal of Manufacturing Systems 29, no. 1 (January 2010): 10–18. http://dx.doi.org/10.1016/j.jmsy.2010.06.005.

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43

Karelits, Matityahu, Emanuel Lozitsky, Avraham Chelly, Zeev Zalevsky, and Avi Karsenty. "Advanced Surface Probing Using a Dual-Mode NSOM–AFM Silicon-Based Photosensor." Nanomaterials 9, no. 12 (December 16, 2019): 1792. http://dx.doi.org/10.3390/nano9121792.

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A feasibility analysis is performed for the development and integration of a near-field scanning optical microscope (NSOM) tip–photodetector operating in the visible wavelength domain of an atomic force microscope (AFM) cantilever, involving simulation, processing, and measurement. The new tip–photodetector consists of a platinum–silicon truncated conical photodetector sharing a subwavelength aperture, and processing uses advanced nanotechnology tools on a commercial silicon cantilever. Such a combined device enables a dual-mode usage of both AFM and NSOM measurements when collecting the reflected light directly from the scanned surface, while having a more efficient light collection process. In addition to its quite simple fabrication process, it is demonstrated that the AFM tip on which the photodetector is processed remains operational (i.e., the AFM imaging capability is not altered by the process). The AFM–NSOM capability of the processed tip is presented, and preliminary results show that AFM capability is not significantly affected and there is an improvement in surface characterization in the scanning proof of concept.

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44

Yahya, Adel Elhadi M., and Martin Halaj. "Evaluation of CMM Accuracy by Using Capability Indexes." Applied Mechanics and Materials 281 (January 2013): 282–86. http://dx.doi.org/10.4028/www.scientific.net/amm.281.282.

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Capability indexes of several types belong to the most common tools used for evaluation of the measuring instruments performance over a certain period of time. The indices differ by calculation method, properties as well as by intended use. But their design principle is approximately the same. The ratio of prescribed (required) accuracy and really achieved process accuracy is always observed. However, this evaluation represents only a part of the overall measurements management system. The suitability of capability indexes for the evaluation of CMMs accuracy over a time. After analyzing the results we had found machine capability indexes good method for evaluation of Coordinate Measuring Machines (CMM) accuracy over a certain time interval. CMM are high accuracy and capable to perform the measurement of lengths, machine capability indexes helps to determine the ability for coordinate measuring machine between tolerance limits and engineering specifications, but the use of x-control charts to get and keep processes under control.

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Liu, Lei, Linlin Zhu, Li Miao, Chen Li, Changshuai Fang, and Xiaodong Zhang. "Overall Profile Measurements of Tiny Parts with Complicated Features with the Cradle-Type Five-Axis System." Sensors 21, no. 13 (July 5, 2021): 4609. http://dx.doi.org/10.3390/s21134609.

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There are generally complex features with large curvature or narrow space on surfaces of complicated tiny parts, which makes high-precision measurements of their three-dimensional (3D) overall profiles a long-lasting industrial problem. This paper proposes a feasible measurement solution to this problem, by designing a cradle-type point-scanning five-axis measurement system. All the key technology of this system is also studied from the system construction to the actual measurement process, and the measurement accuracy is improved through error calibration and compensation. Finally, the feasibility is proved by engineering realization. The measurement capability of the system is verified by measuring workpieces such as cross cylinders and microtriangular pyramids.

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Harits, Abdurrahman, Gilang Muhamad Noer, and Aris Puji Widodo. "Capability Level Measurement Using COBIT 5 Framework (Case Study: PT. Jasa Cendekia Indonesia)." Journal of Information Systems and Informatics 3, no. 2 (June 25, 2021): 341–51. http://dx.doi.org/10.33557/journalisi.v3i2.134.

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PT. Jasa Cendekia Indonesia is a company engaged in the field of recruitment, training and consulting in the provision of human resources. Currently PT. Jasa Cendekia Indonesia has more than 500 outsourcing employees, puts hundreds of Indonesians into the job market and serves more than 30 multinational companies, of course companies need systems that are able to manage and carry out company work operations. This research study aims to conduct an assessment of Information Technology Governance at PT. Jasa Cendekia Indonesia which focuses on the DSS01 domain (manage operations) is measured using the Capability Level in the Cobit 5 Framework. The results obtained from this assessment are needed as an evaluation and input for improvements to Information Technology Governance at PT. Jasa Cendekia Indonesia in the future. The level of ability of PT. Jasa Cendekia Indonesia in the DSS01 process is at a value of 2.80 while the expected level of ability is at level 3 (established process). The recommendation to reach level 3 is expected to be implemented to improve the performance of PT. Jasa Cendekia Indonesia according to the DSS01 process.

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Miao, Rui, Yizhou Wu, Guoqing Sun, Xiyao Gu, and Jie Zhang. "The influence of measurement error on calculation of process capability indices and proportion of conformance." International Journal of Reliability and Safety 10, no. 3 (2016): 195. http://dx.doi.org/10.1504/ijrs.2016.081602.

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Ben Amara, Souha, Jamel Dhahri, and Nabil Ben Fredj. "Process True Capability Evaluation with the Consideration of Measurement System Variability and Expected Quality Loss." Quality and Reliability Engineering International 33, no. 5 (August 25, 2016): 937–44. http://dx.doi.org/10.1002/qre.2070.

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Suri Babu, G., T. Mohana Rao, Salma Ahmed, and K. S. Gupta. "Relationship Between Leadership Capability and Knowledge Management: A Measurement Approach." Journal of Information & Knowledge Management 07, no. 02 (June 2008): 83–92. http://dx.doi.org/10.1142/s0219649208001968.

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The importance of leadership capability (LC) and knowledge management (KM) are well recognised in the popular and academic press to achieve competitive advantage. Although organisations are applying many skills and practices to address the problems for the achievement of competitive advantage, but unable to focus on the measurement and relationship aspects of LC and KM. Many organisations are succeeding and achieving their goals and targets generally with their human resource skills, and particularly with LC and KM. But there are no methodologies for their measurement aspects to plan for the required human resource with necessary competencies as per the desired organisational goals. A research is carried out to develop a methodology for the measurement and relationship aspects of the LC and KM. As the main purpose of this paper is to investigate a relationship between LC and KM, a research study is carried out in: (i) development of process models for LC and KM, (ii) developed an instrument for measuring the LC and KM efforts and (iii) investigated for the relationship between LC and KM. Based on the survey of 247 managers in the three major public sector undertakings, the LC and KM skills have been measured, and analysed for their relationship. The analysed data interprets that there is a positive correlation relationship between the LC and KM. Finally, this research limitations and implications have been examined.

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Mutia, Noor, and Renny Nur'ainy. "IT GOVERNANCE: MEASURE CAPABILITY LEVEL USING COBIT 5 FRAMEWORK." Jurnal Ilmiah Ekonomi Bisnis 25, no. 2 (2020): 97–110. http://dx.doi.org/10.35760/eb.2020.v25i2.2609.

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The measurement of IT Governance capability level becomes useful for companies in order to reduce and avoid the mistake and losses in IT management. This research aims to measure the capability level of IT Governance in Oil & Gas Company listed in Indonesia, in occasion at PT Energi Mega Persada Tbk (EMP), and support the IT governance that has not reached the EMP’s target. The data engaged directly from respondents achieved from the results of questionnaires, interviews and observations. COBIT 5 Framework developed to measure the capability level of process by using Process Assessment Model (PAM). The result found that the capability level of IT Governance measurement of 37 IT processes for all domains in EMP presently at level 3,3 or established level. It means that IT Governance based on COBIT 5 in EMP has been commonly documented, communicated and implemented by default and has standardized. This research is likely to assist company in realize the capability level of IT Governance presently matched to the target that the company wants to reach. In order to the enhancements can conduct to make IT Governance more effective, efficient, and able to support the achievement of company goals.

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