A Study on VR Painting Storyboard Production Techniques Suitable for Real-Time Animation Production Process

2021 ◽  
Vol 17 (4) ◽  
pp. 200-219
Author(s):  
Se-Um Jeong ◽  
Jung-Ho Kim
Keyword(s):  
Production Process ◽  
Real Time ◽  
Production Techniques

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.

Improving Shipyard Productivity Through the Combined Use of Process Engineering and Industrial Engineering Methods Analyses Techniques

1986 ◽  
Vol 2 (01) ◽  
pp. 42-45
Author(s):  
Tommy L. Cauthen
Keyword(s):  
Production Process ◽  
Research Program ◽  
Mass Production ◽  
Process Engineering ◽  
Productivity Improvement ◽  
Shipbuilding Industry ◽  
Engineering Technique ◽  
Analysis Technique ◽  
Combined Use ◽  
Production Techniques

Despite the obvious compromises to efficiency that must be made when producing small quantities, the shipbuilding industry sometimes rules out or fails to consider some of the efficient techniques and methodologies of mass production manufacturing. In this paper a comparison and contrast is made between the methods of mass production and small quantity manufacturing. Also revealed in this paper are the benefits from the use of a mass production process engineering technique and a methods analysis technique during the performance of the National Shipbuilding Research Program SP-8 Panel Task ES-8-21. The use of a mass production process engineering technique is explained as a solution to a methods problem of excessive travel for tools in shipyard equipment installation by outside machinists. The paper concludes with a promotion of this specific application of mass production methodology in shipbuilding and a promotion of the re-evaluation of mass production techniques by shipyards as a vehicle for productivity improvement.

scholarly journals The Industrial Internet and the Future of Work

2015 ◽  
Vol 137 (09) ◽  
pp. 30-35 ◽  
Author(s):  
Marco Annunziata ◽  
Stephan Biller
Keyword(s):  
Production Process ◽  
Technological Progress ◽  
High Performance ◽  
Human Beings ◽  
Future Of Work ◽  
Industrial Internet ◽  
The Future ◽  
Production Techniques ◽  
Performance Computing ◽  
Better Than

This article focuses on the transformation and dimming lines between digital and physical worlds. Industrial Internet tools and applications also help people collaborate in a faster and smarter way – making jobs not just more efficient but more rewarding. Technological progress and economic growth are contributing to a seismic shift in the role that human beings play in the production process. Technological progress, notably in high-performance computing, robotics, and artificial intelligence, is extending the range of tasks that machines can perform better than humans can. The Future of Work is being shaped by a profound transformation, driven by the meshing of the digital and the physical worlds, the emergence of new design and production techniques, and a seismic shift in the role that human beings play in the production process. Technological progress is expected to push a growing share of the workforce toward creativity and entrepreneurship, where humans have a clear comparative advantage over machines.

IMPROVING THE PRODUCTION PROCESS IN FOOD UMKM IN DESA MAOS LOR , KECAMATAN MAOS, KABUPATEN CILACAP

2019 ◽  
Vol 1 (1) ◽  
pp. 25-34
Author(s):  
Vicky Prasetia ◽  
Supriyono Supriyono ◽  
Arif Ainur Rafiq ◽  
Sugeng Dwi Riyanto
Keyword(s):  
Production Process ◽  
Community Service ◽  
Food Industry ◽  
Production Techniques ◽  
Simple Technology ◽  
Home Industries ◽  
Small Industries

Maos Lor Village is one of 10 villages in Maos Sub-District, Cilacap Regency. The number of small industries is 18 businesses with 61 workers and home industries with 78 businesses with 66 workers. Small industries and home industries in Maos Lor Village are dominated in the food industry. The income of small industries and home industries in Maos Lor Village is not satisfactory because there are obstacles in some production sectors, one of which is production techniques. Simple technology makes the product less attractive and hygienic. This problem is experienced by the food industry in Maos Lor Village, one of which is vegetable donut business. The vegetable donut business managed by Dusun Lancar residents is less productive because it is constrained by the production process. In this community service some problems in the vegetable donut business in Maos Lor Village were overcome by making improvements to the production machinery, so that it was hoped that vegetable donut production could run smoothly and production could increase.

scholarly journals Contribution for increasing the manufacturing companies productivity using a tracking and planning production program

2018 ◽  
Vol 184 ◽  
pp. 03006
Author(s):  
Iaroslav Francisc Pişec ◽  
Alin Pop
Keyword(s):  
Production Process ◽  
Real Time ◽  
Machine Tools ◽  
Critical Path ◽  
Planning Method ◽  
Manufacturing Companies ◽  
Production Program ◽  
The Cost ◽  
Complex Parts ◽  
Planning Production

In this paper is presented roughly a tracking and planning production program. The major challenge for manufacturing companies is to have the highest efficiency regarding the productivity. For this reason, the best way to achieve this is to track all elements from production process and to plan all phases as well as possible. The method used for planning production, is the Critical Path Method (CPM) because this kind of planning method determinates in advance the time of fabrications of complex parts. Using this tracking and planning production program, the companies can check the machine tools workload, can analyse the capacity, can assign the proper equipment for part’s fabrication, can estimate the delivering products time and also the cost of it. One of the advantages is that this information is provided on real time.

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