Abstract

Since last decade, the cluster tool has been mainstream in modern semiconductor manufacturing factories. In general, the cluster tool occupies 60% to 70% of production machines for advanced technology factories. The most characteristic feature of this kind of equipment is to integrate the relevant processes into one single machine to reduce wafer transportation time and prevent wafer contaminations as well. Nevertheless, cluster tools also increase the difficulty of production planning significantly, particularly for shop floor control due to complicated machine configurations. The main objective of this study is to propose a short-term scheduling model. The noteworthy goal of scheduling is to maximize the throughput within time constraints. There are two modules included in this scheduling model—arrival time estimation and short-term scheduling. The concept of the dynamic cycle time of the product’s step is applied to estimate the arrival time of the work in process (WIP) in front of machine. Furthermore, in order to avoid violating the time constraint of the WIP, an algorithm to calculate the latest time of the WIP to process on the machine is developed. Based on the latest process time of the WIP and the combination efficiency table, the production schedule of the cluster tools can be re-arranged to fulfill the production goal. The scheduling process will be renewed every three hours to make sure of the effectiveness and good performance of the schedule.

Highlights

  • It is well known that semiconductor manufacturing is a cost intensive industry, for modern 300 mm wafer manufacturing factories

  • The work in process (WIP) with the time constraint is calculated and marked at the latest time that must be processed on the machine, and the efficiency table of the machine processing combination developed in the previous studies [4,5] is used to arrange each machine within the three hours processing schedule to guarantee that the resulting schedule is the best schedule in the current situation

  • The results reveal the proposed model is better than FIFO model from all perspectives include throughput, recipe average cycle time of lot and the number lots of over time constraints

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Summary

Introduction

It is well known that semiconductor manufacturing is a cost intensive industry, for modern 300 mm wafer manufacturing factories. For some small and middle scale semiconductor factories, managers will consider combining un-relevant processes into one machine due to machine numbers and cost constraints It will turn the difficulty of production planning and shop floor control into an arduous challenge. The WIP with the time constraint is calculated and marked at the latest time that must be processed on the machine, and the efficiency table of the machine processing combination developed in the previous studies [4,5] is used to arrange each machine within the three hours processing schedule to guarantee that the resulting schedule is the best schedule in the current situation Under this procedure, the best short-term schedule of the cluster tool can be arranged

Literature Review
Short-Term Scheduling Model
Arrival Time Estimation
Performance Comparison with Dissimilar Model
Findings
Conclusions
Full Text
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