The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 16, 2018

Filed:

Oct. 22, 2015
Applicant:

Macau University of Science and Technology, Taipa, Macau, CN;

Inventors:

Naiqi Wu, Macau, CN;

Fajun Yang, Macau, CN;

Yan Qiao, Macau, CN;

Mengchu Zhou, Macau, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G05B 19/04 (2006.01); G05B 19/41 (2006.01); G05B 19/042 (2006.01); G05B 19/418 (2006.01);
U.S. Cl.
CPC ...
G05B 19/0426 (2013.01); G05B 19/41865 (2013.01); G05B 2219/32291 (2013.01); G05B 2219/45031 (2013.01); Y10S 901/09 (2013.01);
Abstract

A method determines an optimized production schedule of a production line including a hybrid multi-cluster tool formed by a plurality of single-arm tools and dual-arm tools interconnected with each other. The method includes determining time for individual operations of a robotic arm and a processing module in the plurality of single-arm tools and dual-arm tools; determining robot waiting time of the single-arm tools and dual-arm tools based on the time for individual operations and different connection relationships of the plurality of single-arm tools and dual-arm tools; determining whether the optimized production schedule exists using the determined waiting time, wherein the optimized production schedule only exists if the hybrid multi-cluster tool is process-dominant where the robot activity time of the plurality of single-arm tools and dual-arm tools is substantially shorter than processing time at the processing module; and determining the optimized production schedule if the optimized production schedule exists.


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