scholarly journals Bootstrap Analysis of the Production Processes Capability Assessment

2019 ◽  
Vol 9 (24) ◽  
pp. 5360 ◽  
Author(s):  
Patrycjusz Stoma ◽  
Monika Stoma ◽  
Agnieszka Dudziak ◽  
Jacek Caban
Keyword(s):  
Production Process ◽  
Product Quality ◽  
Low Cost ◽  
Bootstrap Method ◽  
Process Capability ◽  
Production Cycle ◽  
Bootstrap Analysis ◽  
Production Processes ◽  
Characteristic Features ◽  
The Bootstrap Method

The high customer requirements for appropriate product quality pose a challenge for manufacturers and suppliers and also cause them many problems related to ensuring a sufficiently high product quality throughout the entire production cycle. For the above reasons, it is so important to assess the capability of monitored processes, and shaping, analyzing and controlling the capability of processes is an important aspect of managing an organization that uses a process approach to management. The use of an appropriate method to analyze the course of production processes is a necessity imposed by quality standards, e.g., ISO 9001: 2015. That is why it is so important to propose a quick and low-cost method of assessing production processes. For this purpose, a method of assessing the capability of the manufacturing process using bootstrap analysis was used. The article presents the analysis of inherent properties of the production process based on the results of measurements of the characteristic features of the process or the characteristics of the manufactured products (process variables) for the shafts with grooves. The main goals of the work are to develop a procedure for determining process capability based on the bootstrap method, including criteria for the classification of production process capability; to develop the criterion values for confidence intervals of production process capability; as well as to demonstrate the practical application of bootstrap analysis in manufacturing. Moreover, comparative analyses of process capabilities using bootstrap and classic methods were carried out. They confirm both the narrowing of the confidence interval when using the bootstrap method and the possibility of determining a better estimator of the lower limit of this range compared to the results obtained using the classic method. The tests carried out for the unit production of shafts with grooves showed that the analysis of the process capability for measuring tests n = 10 is possible. Finally, new criterion values for the assessment of process capability for the bootstrap method were proposed. The model for assessing the capability of production processes presented in the paper was implemented in low-volume production in the defense industry.

scholarly journals OPTIMIZATION OF PRODUCTION PROCESSES

ASJ. ◽  
2021 ◽  
Vol 2 (48) ◽  
pp. 26-35
Author(s):  
G. Taisheva ◽  
E. Ismagilova ◽  
E. Salikova
Keyword(s):  
Production Process ◽  
Optimization Process ◽  
Production Cycle ◽  
Manufacturing Enterprise ◽  
Production Processes

This article discusses the optimization process in a manufacturing enterprise, based on the use of types of transfer of labor items in the production process. This analysis allows you to reduce the production cycle of the product and, accordingly, reduce the costs associated with the production of the product. 

scholarly journals Real-time vision-based multiple object tracking of a production process: Industrial digital twin case study

2021 ◽  
pp. 095440542110024
Author(s):  
Robert Ward ◽  
Payam Soulatiantork ◽  
Shaun Finneran ◽  
Ruby Hughes ◽  
Ashutosh Tiwari
Keyword(s):  
Production Process ◽  
Real Time ◽  
Industry 4.0 ◽  
Low Cost ◽  
Digital Simulation ◽  
Smart Manufacturing ◽  
Design Solution ◽  
Future Research ◽  
Production Cycle ◽  
Process Industries

The adoption of Industry 4.0 technologies within the manufacturing and process industries is widely accepted to have benefits for production cycles, increase system flexibility and give production managers more options on the production line through reconfigurable systems. A key enabler in Industry 4.0 technology is the rise in Cyber-Physical Systems (CPS) and Digital Twins (DTs). Both technologies connect the physical to the cyber world in order to generate smart manufacturing capabilities. State of the art research accurately describes the frameworks, challenges and advantages surrounding these technologies but fails to deliver on testbeds and case studies that can be used for development and validation. This research demonstrates a novel proof of concept Industry 4.0 production system which lays the foundations for future research in DT technologies, process optimisation and manufacturing data analytics. Using a connected system of commercial off-the-shelf cameras to retrofit a standard programmable logic controlled production process, a digital simulation is updated in real time to create the DT. The system can identify and accurately track the product through the production cycle whilst updating the DT in real-time. The implemented system is a lightweight, low cost, customable and scalable design solution which provides a testbed for practical Industry 4.0 research both for academic and industrial research purposes.

scholarly journals Modelling a production process using a Sankey diagram and Computerized Relative Allocation of Facilities Technique (CRAFT)

2019 ◽  
Vol 9 (1) ◽  
pp. 444-449 ◽  
Author(s):  
Kampf Rudolf ◽  
Hlatká Martina
Keyword(s):  
Production Process ◽  
Work Environment ◽  
Low Cost ◽  
Efficient Production ◽  
Manufacturing Companies ◽  
Car Seat ◽  
Production Processes

AbstractThis paper constitutes a partial output of carried out research and is focused on modelling the production process of car seat manufacturing. Given that manufacturing companies are currently struggling with a shortage of qualified workforce, it is the job of every business to keep their current employees. Companies make efforts to operate the most efficient production processes at very low cost and with labour saving. In order to produce at low cost, the work environment must be designed efficiently. There are many ways to do this. In this paper focused on optimizing production processes, Computerized Relative Allocation of Facilities Technique (CRAFT) and a Sankey diagram will be used.

Studi Kualitas Puding Melalui Pendekatan Six Sigma Studi Kasus Di Pt. Keong Nusantara Abadi

2019 ◽  
Vol 1 (1) ◽  
pp. 44
Author(s):  
Rony Trizudha ◽  
Sri Rahayuningsih ◽  
Ana Komari
Keyword(s):  
Quality Control ◽  
Quality Improvement ◽  
Production Process ◽  
Product Quality ◽  
Six Sigma ◽  
Improve Quality ◽  
High Productivity ◽  
Fierce Competition ◽  
And Control ◽  
Technology Advances

As technology advances at this time, players in business are aware of the importance of product quality in the increasingly fierce competition in the industrial world due to the emergence of many similar companies. Therefore, companies must be able to compete to meet customer desires and try to retain customers. To maintain customers and their marketing areas, companies must have high competitiveness in order to survive by prioritizing quality improvement, increasing efficiency and increasing productivity to improve quality because by increasing quality, products can be accepted among consumers so that company goals can be fulfilled. Therefore, the company must carry out effective quality control which will result in high productivity, lower overall cost of making goods and the factors that cause production failure to be minimized. To improve quality, use the six sigma method, DMAIC and seven tools so that it can be known the cause of the damage and what actions are taken so that there needs to be a controversy to stabilize the processes of the production process so that we can know what percentage of damage and what factors cause damage, therefore there must be measurements and recommendations for improvement and control to reduce the causes From the analysis, it was found that the dent cup was 20.36%, the lid was 21.36% less dense, the lid was damaged in the finished product 18.72%, the cup was 19.28% less thick, the packaging was flexible 20.55%Seiring kemajuan teknologi pada saat ini pelaku di bisnis menyadari akan pentingnya kualitas produk dalam persaingan dunia industri yang semakin ketat karena banyak bermunculan perusahaan-perusahaan sejenis. Oleh sebab itu perusahaan harus dapat bersaing untuk memenuhi keinginan  pelanggan dan berusaha dapat mempertahankan pelanggan. Untuk mempertahankan pelangan dan wilayah pemasaranya perusahaan-perusahaan harus mempunyai daya saing yang tinggi untuk dapat bertahan dengan mengutamakan peningkatan mutu, peningkatan efisiensi dan peningkatan produktivitas untuk meningkatkan kualitas karena dengan peningkatan kualitas, produk dapat diterima di kalangan konsumen sehingga tujuan perusahaan dapat terpenuhi. Maka dari itu perusahaan harus melakukan pengendalian kualitas yang efektif akan menghasilkan produktivitas yang tinggi, biaya pembuatan barang keseluruhan yang lebih  rendah serta  faktor-faktor yang menyebabkan kegagalan produksi akan dapat ditekan sekecil mungkin. Untuk meningkatkan kualitas mengunakan metode six sigma, DMAIC dan seven tools agar dapat diketahui penyebab  kerusakan  dan  tindakan  apa  saja  yang dilakukan sehingga perlu ada kontror untuk menstabilkan  peoses proses produksi sehinga dapat di ketahui berapa persen  kerusakan dan faktor-faktor apa saja yang menyebabkan  kerusakan maka dari itu harus ada pengukuran dan  rekomendasi perbaikan serta melakukan kontrol untuk mengurangi penyebab kerusakan. Dari hasil analisis  di ketahui cup  penyok 20,36%, lid kurang  rapat  21,36%, lid  rusak  pada produk jadi 18,72%,cup kurang tebal 19,28 %kemasan lentur 20,55%

scholarly journals Application of the Deep CNN-Based Method in Industrial System for Wire Marking Identification

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3659
Author(s):  
Andrzej Szajna ◽  
Mariusz Kostrzewski ◽  
Krzysztof Ciebiera ◽  
Roman Stryjski ◽  
Waldemar Woźniak
Keyword(s):  
Production Process ◽  
Process Development ◽  
Process Time ◽  
Industrial System ◽  
Assembly Process ◽  
Production Environment ◽  
Deep Convolutional Neural Networks ◽  
Control Cabinet ◽  
Production Processes ◽  
The Wire

Industry 4.0, a term invented by Wolfgang Wahlster in Germany, is celebrating its 10th anniversary in 2021. Still, the digitalization of the production environment is one of the hottest topics in the computer science departments at universities and companies. Optimization of production processes or redefinition of the production concepts is meaningful in light of the current industrial and research agendas. Both the mentioned optimization and redefinition are considered in numerous subtopics and technologies. One of the most significant topics in these areas is the newest findings and applications of artificial intelligence (AI)—machine learning (ML) and deep convolutional neural networks (DCNNs). The authors invented a method and device that supports the wiring assembly in the control cabinet production process, namely, the Wire Label Reader (WLR) industrial system. The implementation of this device was a big technical challenge. It required very advanced IT technologies, ML, image recognition, and DCNN as well. This paper focuses on an in-depth description of the underlying methodology of this device, its construction, and foremostly, the assembly industrial processes, through which this device is implemented. It was significant for the authors to validate the usability of the device within mentioned production processes and to express both advantages and challenges connected to such assembly process development. The authors noted that in-depth studies connected to the effects of AI applications in the presented area are sparse. Further, the idea of the WLR device is presented while also including results of DCNN training (with recognition results of 99.7% although challenging conditions), the device implementation in the wire assembly production process, and its users’ opinions. The authors have analyzed how the WLR affects assembly process time and energy consumption, and accordingly, the advantages and challenges of the device. Among the most impressive results of the WLR implementation in the assembly process one can be mentioned—the device ensures significant process time reduction regardless of the number of characters printed on a wire.

scholarly journals Statistical Estimates of the Pulsar Glitch Activity

Universe ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. 8
Author(s):  
Alessandro Montoli ◽  
Marco Antonelli ◽  
Brynmor Haskell ◽  
Pierre Pizzochero
Keyword(s):  
Linear Regression ◽  
Upper Bound ◽  
Bootstrap Method ◽  
Waiting Times ◽  
Statistical Estimates ◽  
Equal Variance ◽  
Linear Fit ◽  
The Moment ◽  
The Bootstrap Method

A common way to calculate the glitch activity of a pulsar is an ordinary linear regression of the observed cumulative glitch history. This method however is likely to underestimate the errors on the activity, as it implicitly assumes a (long-term) linear dependence between glitch sizes and waiting times, as well as equal variance, i.e., homoscedasticity, in the fit residuals, both assumptions that are not well justified from pulsar data. In this paper, we review the extrapolation of the glitch activity parameter and explore two alternatives: the relaxation of the homoscedasticity hypothesis in the linear fit and the use of the bootstrap technique. We find a larger uncertainty in the activity with respect to that obtained by ordinary linear regression, especially for those objects in which it can be significantly affected by a single glitch. We discuss how this affects the theoretical upper bound on the moment of inertia associated with the region of a neutron star containing the superfluid reservoir of angular momentum released in a stationary sequence of glitches. We find that this upper bound is less tight if one considers the uncertainty on the activity estimated with the bootstrap method and allows for models in which the superfluid reservoir is entirely in the crust.

The Bootstrap-Method: Discussion and Proposal for Improvement / Das bootstrap-Verfahren: Diskussion und Verbesserungsvorschlag

1998 ◽  
Vol 217 (1) ◽  
Author(s):  
Hans Schneeberger
Keyword(s):  
Bootstrap Method ◽  
Law School ◽  
Mean Deviation ◽  
Alternative Method ◽  
Doubling Method ◽  
The Mean ◽  
The Bootstrap Method

SummaryWith Efron’s law-school example the bootstrap method is compared with an alternative method, called doubling. It is shown, that the mean deviation of the estimator is always smaller for the doubling method.

Study of an energy-integrated biodiesel production process using supercritical methanol and a low-cost feedstock

2015 ◽  
Vol 140 ◽  
pp. 252-261 ◽  
Author(s):  
Debora L. Manuale ◽  
Gerardo C. Torres ◽  
Carlos R. Vera ◽  
Juan C. Yori
Keyword(s):  
Production Process ◽  
Low Cost ◽  
Biodiesel Production ◽  
Supercritical Methanol
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