CONWIP based control of a lamp assembly production line

2007 ◽  
Vol 18 (2) ◽  
pp. 261-271 ◽  
Author(s):  
W. H. Ip ◽  
Min Huang ◽  
K. L. Yung ◽  
Dingwei Wang ◽  
Xingwei Wang
2012 ◽  
Vol 576 ◽  
pp. 523-526
Author(s):  
Abdullah Rashid Amirul ◽  
Saad Nor Hayati ◽  
Bulan Abdullah

Process variation is inevitable for any production line regardless of the industry. The trend for smaller, lighter yet multifunctional devices has created high expectation for the semiconductor manufacturer to produce more robust and highly reliable devices. One way to achieve this is by assessing the variance performance of the assembly production. In this study, the mechanical properties of copper alloy C194 used as the lead frame for particular IC device have been investigated. Samples from control and defect groups been subjected to hardness (Rockwell test) and tensile (Instron test) while the optical microscopy used to verify the microstructure. The result shows that the hardness and tensile of the defect group is relatively lower than the control group while the elongation of the defect group is almost 10% higher. This finding is very useful to be shared with the process owner so that in-depth investigation on the lead frame material consistency or the temperature range optimization can be carried out to prevent such variations that contribute to the inconsistence wire bond yield performance.


2013 ◽  
Vol 850-851 ◽  
pp. 1008-1011
Author(s):  
Jian Feng Liu

Sequencing of hybrid assembly production directly affects the balancecontinuity and punctuality of production process. First, the mathematical models with MILP of hybrid assembly production are established, and then the sets of sequencing scheme of minimum makespan which meet customers demands are obtained. Furthermore workshop simulation models with Flexsim software are established. In this paper, the painting hybrid assembly production line of some automobile engine manufacturing plant was employed to analyze the sequencing as an example, and the obtained painting production line sequencing scheme is consistent with the actual production of enterprises and it improves production capacity.


2014 ◽  
Vol 1037 ◽  
pp. 557-560
Author(s):  
Bing Feng Liu ◽  
Gang Li

Radio frequency identification (RFID) technology provides a wireless way to detect and recognize objects. By using the RFID reader as a sensor, development of RFID helper object tracking system to track the production situation of a flexible assembly line make tracking application. At the same time, based on the range and without scope of cooperation tracking algorithm, we analysis the system. And in order to achieve the balance of density and cost among the read write device, this paper considers only simple reader and omnidirectional scattering antenna. In order to further improve the production efficiency, we use a particle filter model, in order to further processing tracking result of object, improve tracking precision. We suggest that the tracking system can also predict the operation state of product in assembly production line.


2014 ◽  
Vol 644-650 ◽  
pp. 5844-5847
Author(s):  
Fu Zhou

Hybrid assembly production sequencing directly affects the continuity, balance and punctuality of production process. First, the sets of sequencing scheme of minimum makespan was selected. Furthermore, workshop simulation models with Flexsim software were established, then obtained the value of makespan, the number of WIP and equipment utilization rate. Finally, according to the evaluation criterion of minimum makespan and number of WIP and maximum equipment utilization rate, evaluation performance function of hybrid assembly sequencing scheme was built and the optimal overall performance sequencing scheme was selected. In this paper, the car seat hybrid assembly production line was employed to analyze the sequencing as an example, and the obtained car seat production line sequencing scheme improves production capacity.


2017 ◽  
Vol 43 (5) ◽  
pp. 397-412 ◽  
Author(s):  
Joung Woo Lim ◽  
Seong Hyeon Park ◽  
Chan Woo Bae ◽  
Jae Man Ban ◽  
Young Hoon Lee

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