scholarly journals Determination of the robot location in a workcell of a flexible production line

Author(s):  
W Banas ◽  
A Sekala ◽  
A Gwiazda ◽  
K Foit ◽  
P Hryniewicz ◽  
...  
Author(s):  
Katrin Sinaga ◽  
Kevin Lie ◽  
Nico Williams ◽  
Theresia Sunarni

A Factory is a manufacturing industry that produces tea drinks in cups. A Factory is also inseparable from problems related to machine/equipment productivity. Based on the results of observations made at A Factory part of the production line that there is often a sudden stop of the production process. The discontinuation will affect the quality of the product expected and the production targets to be achieved. The problem was discussed in this research is how much the productivity level of the filling production department is, how much the production effectiveness, effective working hours, the number of defective products, and machine downtime criteria. The productivity measurement method used is the Objective Matrix (OMAX) method, so the steps of this study refer to OMAX steps, which is the criteria determination/productivity ratio of the production line, the calculation of the productivity ratio value, the calculation of the initial standard score (score 3), The determination of the goal (score 10) and the lowest score (score 0), the determination of weight, the calculation of value/criteria value, the determination of productivity value for each period, determination of index percentage. With the OMAX method, it can be seen that in period 11 (compared to period 10) there was an increase in productivity, this can be seen because the IP value (Index of Performance) which is positive (+) is 27.79 and there is an increase in the value of the calculation at the time of measurement (current) from 383.36 to 300. This increase was due to an increase in the value of all criteria.


2021 ◽  
Vol 2 (1) ◽  
pp. 33
Author(s):  
Rabia Ghani

<p>The estimation of time-to-failure of machines is of utmost importance in the Manufacturing Industry. As the world is moving towards Industry 4.0, it is high time that we progress from the traditional methods, where we wait for a breakdown to occur, to the prognostics based methods. It is the need of the era to be aware of any incident before it occurs. This study provides application of Statistical-based Predictive maintenance. A BOPP Production line has been considered as a case study for this research. Since the inception of the line in 2013, it is evident that 60% of breakdowns are due to lack of maintenance and timely replacement of bearings. Therefore, the research is based on the application of FMECA (Failure Modes, Effects and Criticality Analysis) to determine which bearing in the production line is most prone to failure and determination of which statistical model best fits the failure data of the most critical bearing. The result provides the best distribution fit for the failure data and the fit can be utilized for further study on RUL (Remaining Useful Life) of the bearing through Bayesian Inference.</p>


2020 ◽  
Vol 1601 ◽  
pp. 062036
Author(s):  
Shuyang Xu ◽  
Shukun Cao ◽  
Kuizeng Gao ◽  
Wenlong Cao

Author(s):  
W Banas ◽  
A Sekala ◽  
A Gwiazda ◽  
K Foit ◽  
P Hryniewicz ◽  
...  

2009 ◽  
Vol 145-146 ◽  
pp. 159-162 ◽  
Author(s):  
Yannick Borde ◽  
Adrien Danel ◽  
A. Roche ◽  
Hervé Fontaine ◽  
C. Brych

After technical results presented the last two years and new results on volatile contamination, this paper reviews the contamination management in advanced microelectronic and proposes rules for advanced Integrated Circuits (IC) manufacturing. The competitiveness of a production line is insured only if right contamination management rules are applied. These rules must allow a fast introduction of disruptive technologies while keeping as low as possible associated costs: processing on shared equipments, determination of acceptable levels of contamination with a good understanding of their detrimental impact on devices, knowledge on contamination dissemination mechanisms. Moreover, a control of contamination using appropriate cleanings and metrologies is mandatory.


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