A fuzzy simulation model for production control in a semiconductor wafer manufacturing

Author(s):  
Azzaro ◽  
Floquet ◽  
Pipouleau ◽  
Domenech
2011 ◽  
Vol 186 ◽  
pp. 36-40 ◽  
Author(s):  
Bing Hai Zhou

Photolithography area is usually a bottleneck area in a semiconductor wafer manufacturing system (SWMS). It is difficult to schedule photolithography area on real-time optimally. Here, an Elman neural network (ENN)-based dynamic scheduling method is proposed. An ENN-based sample learning algorithm is proposed for selecting best combination of scheduling rules. To illustrate the feasibility and practicality of the presented method, the simulation experiment is developed. A numerical example is use to evaluate the proposed method. Results of simulation experiments show that the proposed method is effective to schedule a complex wafer photolithography process.


2012 ◽  
Vol 490-495 ◽  
pp. 1704-1708
Author(s):  
Shao Wei Feng ◽  
Jing Zhang ◽  
Shao Chun Ding

It is very important to improve shop production performance in manufacturing process. The main manufacturing management methods include Kanban and Drum Buffer Rope (DBR) systems. In this paper computer simulation is used to evaluate the performance of these manufacturing systems. A simulation model was developed to collect and analyze some key performance indexes including total system output, flow time and average WIP invention. The optimal buffer size was found out by studying the two manufacturing systems at different capacities. The systems were also compared with and without machine breakdowns. The simulation model provided a significant insight into the two systems and the benefits of both the systems were realized


2013 ◽  
Vol 10 ◽  
pp. 231-235
Author(s):  
Wai Yi Foong ◽  
Amir Hamzah bin Hassan

In semiconductor wafer manufacturing, there are only a few processes but many steps. Each wafer must go through the processes multiple times (steps) and sometimes not in the same sequence. All the wafers in lot size of 25 pieces are transferred between the processes using an Automated Guided Vehicle from stocker to stocker. Then, the wafers are manually transferred to the processing tool. Although the tools are designed per SEMI S2/S8 standards [1,, the equipment technician can get into awkward postures when performing the preventive maintenance. Both the manual material handling between the tools and awkward postures during preventive maintenance can pose an ergonomic challenge. However, some techniques can be used to minimize the impact. This paper shares the techniques which can ease ergonomic problems in semiconductor wafer manufacturing


2011 ◽  
Vol 486 ◽  
pp. 119-122
Author(s):  
James C. Chen ◽  
Po Tsang B. Huang ◽  
Hui Yu Peng ◽  
Ming Chien Hung ◽  
Chih Cheng Chen ◽  
...  

An AutoMod simulation model was constructed for real-world 4.5th-generation (4.5G) Thin Film Transistor - Liquid Crystal Display (TFT-LCD) Color Filter (CF) fabrication plants in this study. The characteristics and data of customer orders, production facility, material handling tools, and warehouse (also called stocker) were collected from real plants. Based on these, a simulation model was developed and validated. As the simulation model was complex and had different parameters representing the operation details in the plants, it is of interest to justify the effects of these parameters to the key performance indicators such as system throughput and equipment utilization. Using fishbone analysis, sensitivity analysis and experimental design, a series of simulation experiments were conducted and the resulting simulation model was representative to the CF plants. On the basis of the simulation model with 3-dimension animation, decision makers can conduct what-if analysis for the evaluation of production control policies such as in-process capacity and tact time without disturbing the operations in the real plant. Better alternatives leading to higher system throughput can be identified in system simulation before its real implementation in the fab.


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