NDLI: Collaborative decision making algorithm for selection of optimal wire saw in photovoltaic wafer manufacture

Content Provider	Springer Nature Link
Author	Chang, Che Wei
Copyright Year	2010
Abstract	The yield of the wafer slicing process has the greatest impact on manufacturing costs in the fabrication of photovoltaic (PV) cells. Hence, it is critical to identify the correct type of wire saw for this process. This paper employs the analytic hierarchy process (AHP) and the technique for order preference by similarity to ideal solution (TOPSIS) to construct a collaborative decision model for predicting the yield of a wire saw. The evaluation criteria for establishing the model are derived on the basis of a literature review and the opinions of experts with experience in PV wafer manufacturing. The evaluation weights are determined by the AHP and the optimal machine is identified by the TOPSIS. Finally, process capability indices are presented to demonstrate and verify the feasibility and effectiveness of the proposed method.
Starting Page	533
Ending Page	539
Page Count	7
File Format	PDF
ISSN	09565515
Journal	Journal of Intelligent Manufacturing
Volume Number	23
Issue Number	3
e-ISSN	15728145
Language	English
Publisher	Springer US
Publisher Date	2010-02-27
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Collaborative decision model AHP TOPSIS Process capability indices Production/Logistics/Supply Chain Control, Robotics, Mechatronics Manufacturing, Machines, Tools
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Artificial Intelligence Software

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Collaborative decision making algorithm for selection of optimal wire saw in photovoltaic wafer manufacture