| Event-driven Dynamic and Intelligent Scheduling for Agile Manufacturing Based on Immune Mechanism and Expert System |
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| 作者姓名： | 李蓓智 杨建国 周亚勤 邵世煌 |
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| 作者单位： | College of Mechanical Engineering，Donghua University，Shanghai，200051，College of Mechanical Engineering，Donghua University，Shanghai，200051，College of Mechanical Engineering，Donghua University，Shanghai，200051，College of Mechanical Engineering，Donghua University，Shanghai，200051 |
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| 基金项目： | This work was supported by National Science Foundation of Shanghai(02ZF14003) |
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| 摘 要： | Based on the biological immune concept, immune response mechanism and expert system, a dynamic and intelligent scheduling model toward the disturbance of the production such as machine fault, task insert and cancel etc. is proposed. The antibody generation method based on the sequence constraints and the coding rule of antibody for the machining procedure is also presented. Using the heuristic antibody generation method based on the physiology immune mechanism, the validity of the scheduling optimization is improved, and based on the immune and expert system under the event-driven constraints, not only Job-shop scheduling problem with multi-objective can be solved, but also the disturbance of the production be handled rapidly. A case of the job-shop scheduling is studied and dynamic optimal solutions with multi-objective function for agile manufacturing are obtained in this paper. And the event-driven dynamic rescheduling result is compared with right-shift rescheduling and total rescheduling.
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Event-driven Dynamic and Intelligent Scheduling for Agile Manufacturing Based on Immune Mechanism and Expert System |
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| LI Bei-zhi,YANG Jian-guo,ZHOU Ya-qin SHAO Shi-huang
College of Mechanical Engineering,Donghua University,Shanghai.Event-driven Dynamic and Intelligent Scheduling for Agile Manufacturing Based on Immune Mechanism and Expert System[J].Journal of Donghua University,2003,20(3). |
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| Authors: | LI Bei-zhi YANG Jian-guo ZHOU Ya-qin SHAO Shi-huang
College of Mechanical Engineering Donghua University Shanghai |
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| Institution: | College of Mechanical Engineering,Donghua University,Shanghai,200051 |
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| Abstract: | Based on the biological immune concept, immune response mechanism and expert system, a dynamic and intelligent scheduling model toward the disturbance of the production such as machine fault, task insert and cancel etc. is proposed. The antibody generation method based on the sequence constraints and the coding rule of antibody for the machining procedure is also presented. Using the heuristic antibody generation method based on the physiology immune mechanism, the validity of the scheduling optimization is improved, and based on the immune and expert system under the event-driven constraints, not only Job-shop scheduling problem with multi-objective can be solved, but also the disturbance of the production be handled rapidly. A case of the job-shop scheduling is studied and dynamic optimal solutions with multi-objective function for agile manufacturing are obtained in this paper. And the event-driven dynamic rescheduling result is compared with right-shift rescheduling and total rescheduling. |
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| Keywords: | agile manufacturing dynamic and intelligent scheduling event-driven biologic immune mechanism |
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