A Dynamic Disturbance Processing Method Based on Affected Process Association Tree

Zheo Zijin; Ge Yan; Wang Aimin

doi:10.1109/ICMIMT.2019.8712049

A Dynamic Disturbance Processing Method Based on Affected Process Association Tree

Zheo Zijin, Ge Yan, Wang Aimin

School of Mechanical Engineering

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper proposes a dynamic disturbance processing method based on the affected process association tree, which includes: receiving the disturbance events feedback from the production process, judging the affected process according to the disturbance events and constructing the affected process association tree and judging the phenotype of the affected process under disturbance. According to the phenotype, using the proportional integral algorithm adjusts the affected process association tree in turn to form a new job scheduling plan. Finally, an example is given to verify the effectiveness of this method in real-time processing of disturbances that may occur in the actual production process, and a reliable new scheduling plan is output.

Original language	English
Title of host publication	2019 IEEE 10th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	152-156
Number of pages	5
ISBN (Electronic)	9781538679722
DOIs	https://doi.org/10.1109/ICMIMT.2019.8712049
Publication status	Published - 9 May 2019
Event	10th IEEE International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2019 - Cape Town, South Africa Duration: 15 Feb 2019 → 17 Feb 2019

Publication series

Name	2019 IEEE 10th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2019

Conference

Conference	10th IEEE International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2019
Country/Territory	South Africa
City	Cape Town
Period	15/02/19 → 17/02/19

Keywords

affected process association tree
dynamic disturbance
proportional integral algorithm
scheduling

Access to Document

10.1109/ICMIMT.2019.8712049

Cite this

Zijin, Z., Yan, G., & Aimin, W. (2019). A Dynamic Disturbance Processing Method Based on Affected Process Association Tree. In 2019 IEEE 10th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2019 (pp. 152-156). Article 8712049 (2019 IEEE 10th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMIMT.2019.8712049

Zijin, Zheo ; Yan, Ge ; Aimin, Wang. / A Dynamic Disturbance Processing Method Based on Affected Process Association Tree. 2019 IEEE 10th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 152-156 (2019 IEEE 10th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2019).

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title = "A Dynamic Disturbance Processing Method Based on Affected Process Association Tree",

abstract = "This paper proposes a dynamic disturbance processing method based on the affected process association tree, which includes: receiving the disturbance events feedback from the production process, judging the affected process according to the disturbance events and constructing the affected process association tree and judging the phenotype of the affected process under disturbance. According to the phenotype, using the proportional integral algorithm adjusts the affected process association tree in turn to form a new job scheduling plan. Finally, an example is given to verify the effectiveness of this method in real-time processing of disturbances that may occur in the actual production process, and a reliable new scheduling plan is output.",

keywords = "affected process association tree, dynamic disturbance, proportional integral algorithm, scheduling",

author = "Zheo Zijin and Ge Yan and Wang Aimin",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 10th IEEE International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2019 ; Conference date: 15-02-2019 Through 17-02-2019",

year = "2019",

month = may,

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doi = "10.1109/ICMIMT.2019.8712049",

language = "English",

series = "2019 IEEE 10th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2019",

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Zijin, Z, Yan, G & Aimin, W 2019, A Dynamic Disturbance Processing Method Based on Affected Process Association Tree. in 2019 IEEE 10th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2019., 8712049, 2019 IEEE 10th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2019, Institute of Electrical and Electronics Engineers Inc., pp. 152-156, 10th IEEE International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2019, Cape Town, South Africa, 15/02/19. https://doi.org/10.1109/ICMIMT.2019.8712049

A Dynamic Disturbance Processing Method Based on Affected Process Association Tree. / Zijin, Zheo; Yan, Ge; Aimin, Wang.
2019 IEEE 10th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 152-156 8712049 (2019 IEEE 10th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - This paper proposes a dynamic disturbance processing method based on the affected process association tree, which includes: receiving the disturbance events feedback from the production process, judging the affected process according to the disturbance events and constructing the affected process association tree and judging the phenotype of the affected process under disturbance. According to the phenotype, using the proportional integral algorithm adjusts the affected process association tree in turn to form a new job scheduling plan. Finally, an example is given to verify the effectiveness of this method in real-time processing of disturbances that may occur in the actual production process, and a reliable new scheduling plan is output.

AB - This paper proposes a dynamic disturbance processing method based on the affected process association tree, which includes: receiving the disturbance events feedback from the production process, judging the affected process according to the disturbance events and constructing the affected process association tree and judging the phenotype of the affected process under disturbance. According to the phenotype, using the proportional integral algorithm adjusts the affected process association tree in turn to form a new job scheduling plan. Finally, an example is given to verify the effectiveness of this method in real-time processing of disturbances that may occur in the actual production process, and a reliable new scheduling plan is output.

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Zijin Z, Yan G, Aimin W. A Dynamic Disturbance Processing Method Based on Affected Process Association Tree. In 2019 IEEE 10th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 152-156. 8712049. (2019 IEEE 10th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2019). doi: 10.1109/ICMIMT.2019.8712049

A Dynamic Disturbance Processing Method Based on Affected Process Association Tree

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