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Scheduling in robotic cells with two...

Luan, Tao.

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Scheduling in robotic cells with two and three machines.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Scheduling in robotic cells with two and three machines./
Author:	Luan, Tao.
Description:	86 p.
Notes:	Source: Masters Abstracts International, Volume: 44-01, page: 0508.
Contained By:	Masters Abstracts International44-01.
Subject:	Engineering, Industrial. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR05320
ISBN:	9780494053201

Scheduling in robotic cells with two and three machines.
Luan, Tao.

Scheduling in robotic cells with two and three machines. - 86 p.

Source: Masters Abstracts International, Volume: 44-01, page: 0508.

Thesis (M.Sc.)--University of Manitoba (Canada), 2005.

For part schedules in robotic cells with two and three machines, identical and different part types are discussed. The objective of this work is to find the optimal cycle time for such cells.

ISBN: 9780494053201Subjects--Topical Terms:

626639
Engineering, Industrial.

Scheduling in robotic cells with two and three machines.
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100 1 $a Luan, Tao. $3 1913254
245 1 0 $a Scheduling in robotic cells with two and three machines.
300 $a 86 p.
500 $a Source: Masters Abstracts International, Volume: 44-01, page: 0508.
502 $a Thesis (M.Sc.)--University of Manitoba (Canada), 2005.
520 $a For part schedules in robotic cells with two and three machines, identical and different part types are discussed. The objective of this work is to find the optimal cycle time for such cells.
520 $a For identical parts, different sequences of robot moves generate different cycle time in robotic cells with two or three machines. To find the optimal cycle time, a simulation tool is used, which proves to be efficient for analyzing the effects of various parameters and the implications of various alternatives.
520 $a For different parts, both the sequences of part input and the sequences of robot moves result in different cycle time. To find a solution of such problems, which are characterized by a fixed path, a genetic algorithm is proposed. The algorithm employs natural chromosome representation. A point cut crossover operator is developed for the operation of chromosome crossover. A mutation operator is also designed to select two genes randomly in a chromosome and to exchange their positions. The optimal part sequence and cycle time are obtained through processing genetic evaluation and improving the solution performance. Examples are presented, which demonstrate that the genetic algorithm can solve the problems easily.
590 $a School code: 0303.
650 4 $a Engineering, Industrial. $3 626639
650 4 $a Engineering, System Science. $3 1018128
690 $a 0546
690 $a 0790
710 2 0 $a University of Manitoba (Canada). $3 1018707
773 0 $t Masters Abstracts International $g 44-01.
790 $a 0303
791 $a M.Sc.
792 $a 2005
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR05320