A Low Volume Production Process Capability Analysis

2009 ◽  
Vol 16-19 ◽  
pp. 1038-1042
Author(s):  
Mark A. Harris ◽  
Diane J. Mynors ◽  
Chang J. Wang
Keyword(s):  
Data Gathering ◽  
Process Capability ◽  
High Volume ◽  
Machining Process ◽  
Statistical Process ◽  
Process Modification ◽  
Capability Indices ◽  
Capability Analysis ◽  
Before And After ◽  
Low Volume

Statistical Process Control (SPC) and Process Capability Indices (PCI) are used extensively within manufacturing and service environments. This paper reports the results of a statistical quality improvement programme when applied to a low volume, high gauge frequency machining process. The resultant capability indices (Cp and Cpk) are calculated from acquired data both before and after process modification, and are discussed in relation to the specific process. Box Cox data transformations are utilised in order to centralise data and the applicability of the capability improvements are determined. Historically SPC and capability analysis are performed on high volume processes with data being gathered on a sample basis. This investigation applies the high volume theory to a low volume 100% data gathering process. The validity of capability analysis of this nature is discussed due to long cycle times and large gauge inspection frequency.

scholarly journals CAPABILITY INDICES FOR CONTROL CHARTS BASED ON REGRESSION MODELS

2015 ◽  
Vol 12 (2) ◽  
pp. 234
Author(s):  
Fernanda Siqueira Souza ◽  
Danilo Cuzzuol Pedrini ◽  
Carla Schwengber Ten Caten
Keyword(s):  
Quality Improvement ◽  
Control Charts ◽  
Regression Models ◽  
Process Capability ◽  
Process Capability Analysis ◽  
Capability Indices ◽  
Capability Analysis ◽  
Simulated Process

Process capability analysis is extremely important for optimization and quality improvement. It verifies whether the process under analysis is capable of producing items within engineering and customers’ specifications. The use of capability indices when assumptions are not satisfied leads to erroneous conclusions, compromising the study and analysis of the process, jeopardizing the fulfillment of requirements from management or external customers. Aiming at filling a gap identified in the literature, the main contributions of this work are: (i) proposition of capability indices for processes monitored through control charts based on regression models, for symmetric and asymmetric specifications; and (ii) comparison of the proposed indices with traditional capability indices through a simulated process.

The Impact of Regionalization of Pancreaticoduodenectomy for Pancreatic Cancer in North Carolina since 2004

2014 ◽  
Vol 80 (6) ◽  
pp. 561-566 ◽  
Author(s):  
Ryan Z. Swan ◽  
David J. Niemeyer ◽  
Ramanathan M. Seshadri ◽  
Kyle J. Thompson ◽  
Amanda Walters ◽  
...  
Keyword(s):  
North Carolina ◽  
Significant Risk ◽  
High Volume ◽  
Major Morbidity ◽  
The North ◽  
Time Period ◽  
Improved Outcomes ◽  
Before And After ◽  
Low Volume ◽  
The Impact

Pancreaticoduodenectomy (PD) carries a significant risk. High-volume centers (HVCs) provide improved outcomes and regionalization is advocated. Rapid regionalization could, however, have detrimental effects. North Carolina has multiple HVCs, including an additional HVC added in late 2006. We investigated regionalization of PD and its effects before, and after, the establishment of this fourth HVC. The North Carolina Hospital Discharge Database was queried for all PDs performed during 2004 to 2006 and 2007 to 2009. Hospitals were categorized by PD volume as: low (one to nine/year), medium (10 to 19/year), and high (20/year or more). Mortality and major morbidity was assessed by comparing volume groups across time periods. Number of PDs for cancer increased 91 per cent (129 to 246 cases) at HVCs, whereas decreasing at low-volume (62 to 58 cases) and medium-volume (80 to 46 cases) centers. Percentage of PD for cancer performed at HVCs increased significantly (47.6 to 70.3%) while decreasing for low- and medium-volume centers ( P < 0.001). Mortality was significantly less at HVCs (2.8%) compared with low-volume centers (10.3%) for 2007 to 2009. Odds ratio for mortality was significantly lower at HVCs during 2004 to 2006 (0.31) and 2007 to 2009 (0.34). Mortality for PD performed for cancer decreased from 6.6 to 4.6 per cent ( P = 0.31). Major morbidity was not significantly different between groups within either time period; however, there was a significant increase in major morbidity at low-volume centers ( P = 0.018). Regionalization of PD for cancer is occurring in North Carolina. Mortality was significantly lower at HVCs, and rapid regionalization has not detracted from the superior outcomes at HVCs.

scholarly journals PROCESS CAPABILITY ANALYSIS PADA NUT (STUDI KASUS: PT SANKEI DHARMA INDONESIA)

2017 ◽  
Vol 12 (2) ◽  
pp. 137
Author(s):  
Helena Sisilia R. S. ◽  
Hendy Tannady
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Process Capability ◽  
Statistical Process ◽  
Process Capability Analysis ◽  
Capability Index ◽  
Inside Diameter ◽  
Capability Analysis ◽  
Improved Performance ◽  
A Company

PT Sankei Dharma Indonesia merupakan perusahaan yang bergerak di bidang otomotif. Salah satu produk yang dihasilkan adalah nut (berfungsi sebagai dudukan kabel sensor). Proses nut dianggap critical to quality, dimana hasil dari proses memperhatikan inside diameter nut yang dihasilkan PT A, PT B, dan PT C. Peningkatan kinerja proses dilakukan dengan menggunakan process capability yang merupakan salah metode dari Statistical Process Control. Hasil dari penelitian menunjukkan bahwa process capability pada inside diameter PT B berjalan dengan tidak sesuai, di mana nilai capability index Cp = 0.57, Cpl = 0.58, Cpu = 0.56, Cpk = 0.56, dan Cpm = 0.54. Sedangkan process capability pada inside diameter PT A dan PT C tergolong sangat memuaskan. Di mana nilai capability index PT C Cp = 2.34, Cpl = 2.37, Cpu = 2.30, Cpk = 2.30, dan Cpm = 2.26. Dan nilai capability index PT A Cp = 1.77, Cpl = 1.79, Cpu = 1.75, Cpk = 1.75, dan Cpm = 1.86. AbstractPT Sankei Dharma Indonesia is a company engaged in the automotive field. One of the resulting product is a nut (functioning as a sensor cable holder). Nut process is considered critical to quality, which result from the attention generated inside diameter nut PT A, PT B, dan PT C. Improved performance of process is done by using process capability, which is one method of Statistical Process Control. Results from the study showed that the process capability to the inside diameter of the PT B running is not appropriate, in which the value of capability index Cp = 0,57; Cpl = 0,58; Cpu = 0,56; Cpk = 0,56, dan Cpm = 0,54; While the process capability to inside diameter PT A and PT C as very satisfactory. Where the value of capability index PT C Cp = 2.34, Cpl = 2.37, Cpu = 2.30, Cpk = 2.30, dan Cpm = 2.26. And the value of capability index PT A Cp = 1.77, Cpl = 1.79, Cpu = 1.75, Cpk = 1.75, dan Cpm = 1.86.

scholarly journals Analisis Masalah Kualitas pada M/C Crank Shaft M2 dengan Menggunakan Tool Capability Process di PT XYZ, Pegangsaan Dua, Jakarta

2017 ◽  
Vol 9 (2) ◽  
Author(s):  
Gidion Karo Karo ◽  
Jessie Deborah R. Makapedua
Keyword(s):  
Process Improvement ◽  
Control Process ◽  
Process Capability ◽  
Repair Process ◽  
Process Capability Analysis ◽  
Normality Test ◽  
Quality Control Process ◽  
Capability Indices ◽  
Capability Analysis

<p>Process Capability is a tool that is often used in the process of quality improvement, especially for process improvement. This study uses a process capability analysis on crank shaft production line 2 for motorcycles. By using normality test data and process capability indices for calculation of Cp/Cpk, shows that most of the data obtained are not normally distributed, so need to transform the data into normal, which can then be followed by the calculation of process capability. For the calculation of Cp/Cpk, it was found that there were some machines that still need to get tight control to meet the specification. It shows that mass production is still less stable. In order to meet the specifications, it is necessary to improve the quality of the repair process to reduce the variation in the process.</p><p>Keywords: Process Capability, Quality Control, Process Improvement</p>

scholarly journals Analyzing of Process Capability Indices based on Neutrosophic Sets

2021 ◽  
Author(s):  
Selin Yalçın ◽  
Ihsan Kaya
Keyword(s):  
Automotive Industry ◽  
Process Capability ◽  
Process Capability Indices ◽  
Neutrosophic Sets ◽  
Modeling Uncertainty ◽  
Inaccurate Information ◽  
Process Capability Analysis ◽  
Capability Indices ◽  
Capability Analysis ◽  
Human Thinking

Abstract Process capability analysis (PCA) is an important statistical analysis approach for measuring and analyzing the ability of the process to meet specifications. This analysis has been applied by producing process capability indices (PCIs). \({C}_{p}\) and \({C}_{pk}\) are the most commonly used PCIs for this aim. Although they are completely effective statistics to analyze process’ capability, the complexity of the production processes based on uncertainty arising from human thinking, incomplete or vague information makes it difficult to analyze the process capability with precise values. When there is uncertain, complex, incomplete and inaccurate information, the capability of the process is successfully analyzed by using the fuzzy sets. Neutrosophic sets (NSs), one of the new fuzzy set extensions, have a significant role in modeling uncertainty, since they contain the membership functions of truth, indeterminacy, and falsity definitions rather than an only membership function. This feature provides a strong advantage for modeling uncertainty. In this paper, PCA has been performed based on NSs to overcome uncertainties of the process. For this purpose, specification limits (SLs) have been reconsidered by using NSs and two of the well-known process capability indices (PCIs) named \({C}_{p}\) and \({C}_{pk}\) have been reformulated. Finally, the neutrosophic process capability indices (NPCIs) named \({C}_{p}\) \(\left({\tilde{\stackrel{⃛}{C}}}_{p}\right)\) and \({C}_{pk}\) \(\left({\tilde{\stackrel{⃛}{C}}}_{pk}\right)\) have been derived for three cases that are created by defining SLs. Additionally, the obtained NPCIs have also been applied and confirmed on real case problems from automotive industry. The obtained results show that the NPCIs support the quality engineers to easily define SLs and obtain more flexible and realistic evaluations for PCA.

The Study of Relationship between Multivariate Capability Indices and Sampling Number

2015 ◽  
Vol 713-715 ◽  
pp. 362-368
Author(s):  
Qi Yuan An ◽  
Shao Xi Wang
Keyword(s):  
High Reliability ◽  
Process Capability ◽  
Process Capability Indices ◽  
Statistical Process ◽  
Multivariate Process ◽  
Sample Number ◽  
Capability Indices ◽  
Calculation Results ◽  
Important Means ◽  
The Impact

ultivariate process capability indices (MPCI), as an important means of statistical process control (SPC), can be used to ensure the high reliability of semiconductors manufacturing process. However, the reasonable sampling number is an important factor when considering MPCI values. As general, the large sample number requires much effort and time, or even cannot be achieved. In this paper, we evaluated the impact of different sample size on the calculations of multivariate process capability indices using simulation and analyses. After getting enough data and choosing disparate sample numbers, corresponding multivariate process capability indices can be obtained, which demonstrate the relationship between sampling numbers and calculation results. The conclusions have critical guiding significance for manufacturing semiconductors with high reliability requirement.

scholarly journals Estimation of process capability based on continuous and attribute data

2019 ◽  
Vol 13 (2) ◽  
pp. 162-164
Author(s):  
Biserka Runje ◽  
Živko Kondić ◽  
Amalija Horvatić Novak ◽  
Zdenka Keran
Keyword(s):  
Process Capability ◽  
Process Performance ◽  
Performance Indices ◽  
Attribute Data ◽  
Sigma Level ◽  
Capability Indices ◽  
Capability Analysis ◽  
Inner Diameter ◽  
Performance Analyses ◽  
Bearing Rings

In the paper, a process capability and process performance analyses for continuous and attribute data are conducted by using an industry example. The inner diameter of the bearing rings is analysed by applying the normal capability analysis for the continuous data and by applying the binomial capability analysis for the attribute data. In order to quantify the process performance and process capability for continuous and attribute data, the sigma level or the process sigma is calculated. This represents an alternative method to calculating process capability indices and process performance indices.

Postexercise rehydration: effect of Na+ and volume on restoration of fluid spaces and cardiovascular function

2000 ◽  
Vol 89 (4) ◽  
pp. 1302-1309 ◽  
Author(s):  
J. B. Mitchell ◽  
M. D. Phillips ◽  
S. P. Mercer ◽  
H. L. Baylies ◽  
F. X. Pizza
Keyword(s):  
Cardiac Output ◽  
Body Mass ◽  
Plasma Volume ◽  
Extracellular Fluid ◽  
High Volume ◽  
Fluid Replacement ◽  
Fluid Compartment ◽  
Before And After ◽  
Blood And Urine Samples ◽  
Low Volume

Our purpose was to study the interaction between Na+ content and fluid volume on rehydration (RH) and restoration of fluid spaces and cardiovascular (CV) function. Ten men completed four trials in which they exercised in a 35°C environment until dehydrated by 2.9% body mass, were rehydrated for 180 min, and exercised for an additional 20 min. Four RH regimens were tested: low volume (100% fluid replacement)-low (25 mM) Na+ (LL), low volume-high (50 mM) Na+ (LH), high volume (150% fluid replacement)-low Na+ (HL), and high volume-high Na+ (HH). Blood and urine samples were collected and body mass was measured before and after exercise and every hour during RH. Before and after the dehydration exercise and during the 20 min of exercise after RH, cardiac output was measured. Fluid compartment (intracellular and extracellular) restoration and percent change in plasma volume were calculated using the Cl− and hematocrit/Hb methods, respectively. RH was greater ( P < 0.05) in HL and HH (102.0 ± 15.2 and 103.7 ± 14.7%, respectively) than in LL and LH (70.7 ± 10.5 and 75.9 ± 6.3%, respectively). Intracellular RH was greater in HL (1.12 ± 0.4 liters) than in all other conditions (0.83 ± 0.3, 0.69 ± 0.2, and 0.73 ± 0.3 liter for LL, LH, and HH, respectively), whereas extracellular RH (including plasma volume) was greater in HL and HH (1.35 ± 0.8 and 1.63 ± 0.4 liters, respectively) than in LL and LH (0.83 ± 0.3 and 1.05 ± 0.4 liters, respectively). CV function (based on stroke volume, heart rate, and cardiac output) was restored equally in all conditions. These data indicate that greater RH can be achieved through larger volumes of fluid and is not affected by Na+content within the range tested. Higher Na+ content favors extracellular fluid filling, whereas intracellular fluid benefits from higher volumes of fluid with lower Na+. Alterations in Na+ and/or volume within the range tested do not affect the degree of restoration of CV function.

The Process Capability Analysis to Assess Capacity of a Cleaning Liquid Product with Asymmetric Tolerances

2020 ◽  
Vol 38 (6A) ◽  
pp. 910-916
Author(s):  
Sohaib Khlil ◽  
Huthaifa Al-Khazraji ◽  
Zina Alabacy
Keyword(s):  
Control Charts ◽  
Liquid Product ◽  
Process Capability ◽  
Process Capability Indices ◽  
Filling Process ◽  
Control Engineering ◽  
Normal Probability ◽  
Capability Indices ◽  
Capability Analysis ◽  
Asymmetric Tolerances

Process capability indices are a powerful tool used by quality control engineering to measure the degree to which the process is or is not meeting the requirements. This paper studies the application of process capability indices in the evaluation of a process with asymmetric tolerances. The analyzed collected data of the cleaning liquid “Zahi”, was used to investigate the ability of the filling process to meet the requested specifications. Matlab software was used to plot control charts, normal probability, and histogram of the data gathered from the production line and further performed statistical calculations. It was observed from the control charts that the filling process is under control. In addition, it was revealed by the process capability indices that the process of filling the cleaning liquid bottle is not fitted with the target value but it is adequate.

scholarly journals Adaption of Maximal Glycolysis Rate after Resistance Exercise with Different Volume Load

2020 ◽  
Vol 4 (02) ◽  
pp. E39-E44
Author(s):  
Nico Nitzsche ◽  
Julian Christian Lenz ◽  
Pjotr Voronoi ◽  
Henry Schulz
Keyword(s):  
Resistance Training ◽  
Resistance Exercise ◽  
High Volume ◽  
Exercise Group ◽  
High Load ◽  
Training Groups ◽  
Volume Load ◽  
Low Load ◽  
Before And After ◽  
Low Volume

AbstractThe aim of this study was to investigate the effect of six-weeks of resistance training with different volume load on the maximum glycolysis rate. 24 male strength-trained volunteers were assigned in a high volume low load (50% of their 1RM with 5 sets and reps up to muscle failure) and a low volume high load (70% of their 1RM with 5 sets of ten reps) resistance exercise group. The resistance training performed 3 days per week over 6 weeks. The maximum glycolysis rate was determined using isokinetic force testing before and after the intervention. There was a significant increase in glycolysis rate over the training period across all subjects (p=0.032). High volume low load exercise increased significantly from 0.271±0.067 mmol·l−1·s−1 to 0.298±0.067 mmol·l−1·s−1 (p=0.022) and low volume high load exercise showed no significant changes from 0.249±0.122 mmol·l−1·s−1 to 0.291±0.089 mmol·l−1·s−1 (p=0.233). No significant effect on glycolysis rate was observed between the training groups (p=0.650). Resistance training increases glycolysis rate regardless of volume load.

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