scholarly journals KEY FACTOR: PARTICULARIZATION MODEL FOR TPM DEPLOYMENT

10.6036/10323 ◽  
2021 ◽  
Vol DYNA-ACELERADO (0) ◽  
pp. [ 2 pp.]-[ 2 pp.]
Author(s):  
FRANCESCA TORRELL MARTINEZ ◽  
LLUIS CUATRECASAS ARBOS ◽  
JORGE OLIVELLA NADAL
Keyword(s):  
Production Process ◽  
Lean Management ◽  
Total Productive Maintenance ◽  
The Real ◽  
Management Philosophy ◽  
Efficiency Losses ◽  
Key Factor

TPM (Total Productive Maintenance), which is part of the Lean Management philosophy, aims to increase the company's productivity by reducing efficiency losses during manufacturing. TPM allows organizations to know the real efficiency with which they are working and the losses of the production process, and with the application of this methodology to improve the efficiency of the equipment and the competitiveness of the company.

МODERNIZATION TECHNOLOGY REPAIRING ACENTRIFUGAL WATER PUMP

2018 ◽  
pp. 48-51
Author(s):  
Sh.U. Yuldashev ◽  
D.T. Abdumuminova
Keyword(s):  
Production Process ◽  
Technological Process ◽  
Energy Efficient ◽  
Technical Support ◽  
Ultrasonic Processing ◽  
Water Pump ◽  
The Real ◽  
Technological Processes ◽  
Efficient Management ◽  
Pump Shaft

The article provides an overview of the principle of the pump D630-90, as well as methods for studying the real conditions of technical support to improve maintainability and optimize technological processes and systems. A technological process for the restoration of the shaft of a centrifugal water pump has been developed and an algorithm for managing it has been proposed, on the basis of which the system for energy-efficient management of the recovery area has been implemented. Also in the article some questions of use, metal-filled compound SK812, and also application of ultrasonic processing of a surface of a shaft of the centrifugal water pump of mark D630-90 are mentioned and considered. The developed technological process of pump shaft restoration showed that it is characterized by simplicity, it fits well into the production process of repair and can be widely used in repair shops.

scholarly journals The real-time big data processing method based on LSTM or GRU for the smart job shop production process

2020 ◽  
Vol 14 ◽  
pp. 174830262096239 ◽  
Author(s):  
Chuang Wang ◽  
Wenbo Du ◽  
Zhixiang Zhu ◽  
Zhifeng Yue
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Production Process ◽  
Real Time ◽  
Job Shop ◽  
Production Data ◽  
Time Data ◽  
Big Data Processing ◽  
The Real ◽  
Data Processing Method

With the wide application of intelligent sensors and internet of things (IoT) in the smart job shop, a large number of real-time production data is collected. Accurate analysis of the collected data can help producers to make effective decisions. Compared with the traditional data processing methods, artificial intelligence, as the main big data analysis method, is more and more applied to the manufacturing industry. However, the ability of different AI models to process real-time data of smart job shop production is also different. Based on this, a real-time big data processing method for the job shop production process based on Long Short-Term Memory (LSTM) and Gate Recurrent Unit (GRU) is proposed. This method uses the historical production data extracted by the IoT job shop as the original data set, and after data preprocessing, uses the LSTM and GRU model to train and predict the real-time data of the job shop. Through the description and implementation of the model, it is compared with KNN, DT and traditional neural network model. The results show that in the real-time big data processing of production process, the performance of the LSTM and GRU models is superior to the traditional neural network, K nearest neighbor (KNN), decision tree (DT). When the performance is similar to LSTM, the training time of GRU is much lower than LSTM model.

scholarly journals AN ANALYSIS AND IMPROVEMENT OF THE PRODUCTION PROCESS OF EXTERNAL DOORS

2021 ◽  
Vol 26 (3) ◽  
pp. 59-67
Author(s):  
Karolina CZERWIŃSKA ◽  
Michalene Eva GREBSKI
Keyword(s):  
Production Process ◽  
Value Added ◽  
Added Value ◽  
Lean Management ◽  
Value Analysis ◽  
Process Implementation ◽  
Management Concept ◽  
Implementation Time ◽  
Corrective Actions ◽  
And Storage

The study aimed to conduct a cost-value analysis of the production process of a newly introduced batch of external doors in the context of value-added creation and to identify redundant processes that do not create added value and for which appropriate corrective actions could contribute to their elimination. The result of applying improvement actions following the lean management concept was the optimization time nationalized analyzed by eliminating, among others, operations related to unnecessary transport and storage of products. In addition, the optimization production process impacted both shortening the process implementation time and reducing the costs of its implementation. Further activities will be related to the use of the presented methodology to analyze the processes implemented in the company in order to increase their efficiency.

Group Technology

2010 ◽  
pp. 189-213
Author(s):  
Zude Zhou ◽  
Huaiqing Wang ◽  
Ping Lou
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Group Technology ◽  
Similarity Criterion ◽  
Intelligent Manufacturing ◽  
Successful Implementation ◽  
Management Philosophy ◽  
Coding Systems ◽  
Key Factor ◽  
Product Design Process

Group technology (GT) is a management philosophy that attempts to group products with similar design and/or manufacturing characteristics. It is also a key factor in the successful implementation of flexible manufacturing systems, and equally is one of the foundations of the implementation of intelligent manufacturing. The success of GT implementation is in the effective formation of part families and the rational layout of the manufacturing cell (machine family). In this chapter, the background and conception of (GT) are introduced, followed by succinct descriptions of the similarity criterion, classification and coding systems, and classification approaches of GT. The actual applications of GT to product design, process planning and group scheduling are discussed, and finally the summary and trends of GT are articulated.

scholarly journals Learning from the professionals: film tourists’ “authentic” experiences on a film studio tour

2018 ◽  
Vol 8 (1) ◽  
pp. 47-63 ◽  
Author(s):  
Markus Wohlfeil
Keyword(s):  
Production Process ◽  
Virtual Communities ◽  
Film Production ◽  
Visitor Experience ◽  
Content Type ◽  
The Real ◽  
Hollywood Film ◽  
Film Studios ◽  
Camera Perspective ◽  
Practical Implications

Purpose The purpose of this paper is to explore how consumers perceive, experience and engage with the art of filmmaking and the industrial film production process that the film studios present to them during their guided film studio tours. Design/methodology/approach Drawing on the author’s own film tourist experiences, observations and participatory interactions with fellow visitors at a major Hollywood film studio, this paper takes an autoethnographic “I’m-the-camera”-perspective and a hermeneutic data analysis approach. Findings The findings reveal that visitors experience the “authentic” representation of the working studio’s industrial film production process as an opportunity and “invitation to join” a broader filmmaker community and to share their own amateur filmmaking experiences with fellow visitors and professionals – just to discover eventually that the perceived community is actually the real “simulacrum”. Research limitations/implications Although using an autoethnographic approach means that the breadth of collected data is limited, the gain in depth of insights allows for a deeper understanding of the actual visitor experience. Practical implications The findings encourage film studio executives, managers and talent agents to reconsider current practices and motivations in delivering film studio tours and to explore avenues for harnessing their strategic potential. Originality/value Contrary to previous studies that have conceptualised film studio tours as simulacra that deny consumers a genuine access to the backstage, the findings of this study suggest that the real simulacrum is actually the film tourists’ “experienced feeling” of having joined and being part of a filmmaker community, which raises question regarding the study of virtual communities.

scholarly journals Design and Analysis of Refined Inspection of Field Conditions of Oilfield Pumping Wells Based on Rotorcraft UAV Technology

Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1504 ◽  
Author(s):  
Yu Zhou ◽  
Chunxue Wu ◽  
Qunhui Wu ◽  
Zelda Makati Eli ◽  
Naixue Xiong ◽  
...  
Keyword(s):  
Real Time ◽  
Working Conditions ◽  
Working Condition ◽  
Oil Well ◽  
Monitoring Method ◽  
The Real ◽  
Multi Target Tracking ◽  
Key Factor ◽  
Real Time Detection ◽  
Rotorcraft Uav

The traditional oil well monitoring method relies on manual acquisition and various high-precision sensors. Using the indicator diagram to judge the working condition of the well is not only difficult to establish but also consumes huge manpower and financial resources. This paper proposes the use of computer vision in the detection of working conditions in oil extraction. Combined with the advantages of an unmanned aerial vehicle (UAV), UAV aerial photography images are used to realize real-time detection of on-site working conditions by real-time tracking of the working status of the head working and other related parts of the pumping unit. Considering the real-time performance of working condition detection, this paper proposes a framework that combines You only look once version 3 (YOLOv3) and a sort algorithm to complete multi-target tracking in the form of tracking by detection. The quality of the target detection in the framework is the key factor affecting the tracking effect. The experimental results show that a good detector makes the tracking speed achieve the real-time effect and provides help for the real-time detection of the working condition, which has a strong practical application.

Applying the Lean management philosophy to NeuroInterventional radiology

2010 ◽  
Vol 2 (1) ◽  
pp. 83-86 ◽  
Author(s):  
M. A Gomez ◽  
J. A Hirsch ◽  
P. Stingley ◽  
E. Byers ◽  
R. M Sheridan
Keyword(s):  
Lean Management ◽  
Management Philosophy

scholarly journals POCT in Emergency Rooms: One Key Factor for Process Streamlining with Lean Management

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Verena Lindenau-Stockfisch ◽  
Julia Searle ◽  
Martin Möckel
Keyword(s):  
Negative Impact ◽  
Patient Flow ◽  
Waiting Times ◽  
Care Hospital ◽  
Lean Management ◽  
Emergency Rooms ◽  
Flow Process ◽  
Value Stream ◽  
Current State ◽  
Key Factor

Overcrowding is a common problem in Emergency Departments (ED) worldwide and has a negative impact on patient satisfaction and, more importantly, patient safety. So, the Emergency Department of the secondary-care hospital Paul Gerhardt Stift in Wittenberg, Germany, was faced with increasing numbers of patients. Lean management was introduced to analyse, optimise, and standardise ED processes. Consequently, a project group concentrated on “cycling muda” which is to identify waste and cost drivers along a representative patient path using one suitable Lean tool: mapping the current state in a value stream. As a result, it became clear that both patients and staff suffered from immense waiting times that lead to risky patient care and employee frustration. By subsequently eliminating the waste drivers and designing a high-quality patient flow process creating standards supported by state-of-the-art technology, the hospital’s ED turned into a streamlined department with reduced waiting times offering employees a satisfactory and modern workplace where patients benefit from first-class care.

scholarly journals THE MODEL STUDY OF THE WIND STRESS IMPACT TO THE INTERANNUAL VARIABILITY OF THE ANTARCTIC CIRCUMPOLAR CURRENT SOUTH OF AUSTRALIA

2019 ◽  
Vol 47 (2) ◽  
pp. 172-182 ◽  
Author(s):  
K.V. Lebedev
Keyword(s):  
Interannual Variability ◽  
Wind Stress ◽  
Numerical Experiments ◽  
Antarctic Circumpolar Current ◽  
Wind Forcing ◽  
Global Ocean ◽  
The Real ◽  
Key Factor ◽  
Circumpolar Current ◽  
The Antarctic

The interannual variability of the Antarctic Circumpolar Current (ACC) in the region south of Australia is studied on the base of numerical simulations performed with the use of the Argo-based model for Investigation of the Global Ocean (AMIGO). The model consists of a block for variational interpolation to a regular grid of Argo floats data and a block for model hydrodynamic adjustment of variationally interpolated fields. The mean ACC transport for the period of 2005–2014 through the Australia-Antarctica section was estimated at 178±6 Sv (1 Sv = 106m3/с-1). Additional numerical experiments were carried out in order to study the contribution of the wind forcing to the interannual variability of the ACC transport: the real thermohaline fields corresponding to the particular time period were replaced by climatic ones (1) and by replacing the real wind forcing data with the climatic ones (2). Analysis of the numerical experiments results has shown that the variable wind stress forcing is the key factor determining the interannual variability of the ACC transport through the Australia-Antarctica section.

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