scholarly journals Structural optimization strategy of pipe isolation tool by dynamic plugging process analysis

Author(s):  
Ting-Ting Wu ◽  
Hong Zhao ◽  
Bo-Xuan Gao ◽  
Fan-Bo Meng
Author(s):  
Stefan Harrison ◽  
Jainarine Bansee ◽  
Boppana Chowdary ◽  
Rajeev Seepersad ◽  
Dillon Frederick

This paper looks at applying predictive maintenance and automated data storage and retrieval to reduce waste within a Petroleum Company. In this company, all pump maintenance was performed internally. The study explores the potential effect of the proposed strategy on the operations of three departments relevant to pump maintenance. These departments were, the Pump Shop, Stores Department and Shipping and Receiving. Rockwell Automation’s Arena® simulation software was used to model an existing and proposed maintenance system comprised of these three departments and track the performance measures of Flow Time, Waiting Time and Work-in-Process. Analysis of the performance measures revealed a significant reduction in average Flow Time and Waiting Time by 76% and 96% respectively with no significant change to Work-in-Process.


2014 ◽  
Vol 7 (2) ◽  
pp. 792146
Author(s):  
Seung Hyun Jeong ◽  
Jae Chung Heo ◽  
Gil Ho Yoon

1950 ◽  
Vol 14 (3) ◽  
pp. 235-235
Author(s):  
No authorship indicated

2020 ◽  
pp. 1-11
Author(s):  
Wenjuan Ma ◽  
Xuesi Zhao ◽  
Yuxiu Guo

The application of artificial intelligence and machine learning algorithms in education reform is an inevitable trend of teaching development. In order to improve the teaching intelligence, this paper builds an auxiliary teaching system based on computer artificial intelligence and neural network based on the traditional teaching model. Moreover, in this paper, the optimization strategy is adopted in the TLBO algorithm to reduce the running time of the algorithm, and the extracurricular learning mechanism is introduced to increase the adjustable parameters, which is conducive to the algorithm jumping out of the local optimum. In addition, in this paper, the crowding factor in the fish school algorithm is used to define the degree or restraint of teachers’ control over students. At the same time, students in the crowded range gather near the teacher, and some students who are difficult to restrain perform the following behavior to follow the top students. Finally, this study builds a model based on actual needs, and designs a control experiment to verify the system performance. The results show that the system constructed in this paper has good performance and can provide a theoretical reference for related research.


2019 ◽  
Vol 10 (1) ◽  
pp. 1-27
Author(s):  
Aniek Wijayanti

Business Process Analysis can be used to eliminate or reduce a waste cost caused by non value added activities that exist in a process. This research aims at evaluating activities carried out in the natural material procurement process in the PT XYZ, calculating the effectiveness of the process cycle, finding a way to improve the process management, and calculating the cost reduction that can achieved by activity management. A case study was the approach of this research. The researcher obtained research data throughout deep interviews with the staff who directly involved in the process, observation, and documentation of natural material procurement. The result of this study show that the effectiveness of the process cycle of natural material procurement in the factory reached as much as 87,1% for the sand material and 72% for the crushed stone. This indicates that the process still carry activities with no added value and still contain ineffective costs. Through the Business Process Mechanism, these non value added activities can be managed so that the process cycle becomes more efficient and cost effectiveness is achieved. The result of the effective cycle calculation after the management activities implementation is 100%. This means that the cost of natural material procurement process has become effective. The result of calculation of the estimated cost reduction as a result of management activity is as much as Rp249.026.635,90 per year.


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