Research on Manual Scheduling Technology Using the Pattern of Human-Computer Cooperation

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Abstract:

The automatic scheduling is not suitable for manufacture in most case, because it cannot fully utilize the experience of the operator and effectively response the disturbance events from the production progress. In order to solve these problems the manual scheduling technology using the pattern of human-computer collaborative is proposed. The graphical scheduling block has been discrete through applying the kernel methods including the combination of multi-layer displaying of Gantt-Chart, the model of machine calendar, mouse selected mechanism and auxiliary function for manual scheduling. By building multi-layer normative modular manual scheduling operations, we divide the manual scheduling operation into three steps: the selection of manual scheduling process, the selection of the inserting base, and the inserting mode. At the same time constrains transferring mode provoked by the three kinds of inserting mode is analyzed. By controlling constrains in the progress of the manual adjustment makes sure that the manual scheduling result meets the demand of job shop production. Finally, the algorithms in this paper are validated by the software developed with C++.

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Periodical:

Advanced Materials Research (Volumes 472-475)

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3228-3235

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Online since:

February 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] M Zandieh,M A Adibi. Dynamic job shop scheduling using variable neighbourhood search[J]. International Journal of Production Research, 2010, 48(8) : 2449-2458.

DOI: 10.1080/00207540802662896

Google Scholar

[2] M A Adibi, M Zandieh, M Amiri. Multi-objective scheduling of dynamic job shop using variable neighborhood search[J]. Expert Systems with Applications, 2010, 37(1):282-287.

DOI: 10.1016/j.eswa.2009.05.001

Google Scholar

[3] M Zandieh, M Gholami. An immune algorithm for scheduling a hybrid flow shop with sequence-dependent setup times and machines with random breakdowns[J]. International Journal of Production Research, 2009, 47(24): 6999-7027.

DOI: 10.1080/00207540802400636

Google Scholar

[4] Zhang Jinbiao, Chen Ke. An Adaptive Ant Colony Algorithm for Concurrent Design Task Planning Problem[J]. JOURNAL OF COMPUTER-AIDED DESIGN & COMPUTER GRAPHICS,2010,22(6): 1070-1074.

DOI: 10.3724/sp.j.1089.2010.10878

Google Scholar

[5] Yuan Kun,Zhu Jianying.For solving multi-objective flexible Job Shop scheduling based on improved genetic algorithm[J]. China Mechanical Engineering,2007,18(2):651—656.

Google Scholar

[6] WANG Guoxin; NING Ruxin; WANG Aimin. Production optimal scheduling technology based on simulation[J]. Computer Integrated Manufacturing Systems,2007,13(7):1419-1427.

Google Scholar

[7] ZHANG Xiaoping, LIU Quanli, WANG Wei. A Modeling Method of Job Shop Scheduling Problem Based on SystemC[J]. Control Engineering of China,2007,14(4):430-433.

Google Scholar

[8] GUILHERME E Vieira,JEFFREY W,LIN Herrmarm Edward.Rescheduling manufacturing systems:A framework of strategies,policies,and methods[J].Journal of Scheduling,2003,6(1):39-62.

Google Scholar

[9] ZHAO Jun, CHEN Deren, HUANG Changqin. Visual scheduling based on QoS in grid computing. Computer Integrated Manufacturing Systems,2005,11(9):1279-1284.

Google Scholar

[10] XIA Zhen, CHEN Jian-xun. Design and implementation of SVG—based Gantt chart drawing component. COMPUTER ENGINEERING AND DESIGN, 2010,31(10):2354-2357.

Google Scholar