Decision-making method of reconfigurable manufacturing system's reconfiguration timing based on catastrophe theory

S. H. Huang; G. X. Wang; Y. Yan

doi:10.1109/IEEM.2015.7385620

Decision-making method of reconfigurable manufacturing system's reconfiguration timing based on catastrophe theory

S. H. Huang, G. X. Wang, Y. Yan

School of Mechanical Engineering

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

1 Citation (Scopus)

Abstract

For the problem how to make the decision of RMS's reconfiguration timing, a decision-making method based on information entropy and cusp catastrophe theory is proposed. The information entropy was used to characterize the complexity of RMS, including the factors of machine states, part states and so on. The RMS passive and positive information entropies were used as control variables of cusp catastrophe. According to the cusp catastrophe mutation determination condition, the RMS mutation point was decided, which was the RMS's reconfiguration time. A case study validated the effectiveness and practicability of the method proposed, which guided the launch of RMS reconfiguration in time and improve the response ability of RMS.

Original language	English
Title of host publication	IEEM 2015 - 2015 IEEE International Conference on Industrial Engineering and Engineering Management
Publisher	IEEE Computer Society
Pages	120-124
Number of pages	5
ISBN (Electronic)	9781467380669
DOIs	https://doi.org/10.1109/IEEM.2015.7385620
Publication status	Published - 18 Jan 2016
Event	IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2015 - Singapore, Singapore Duration: 6 Dec 2015 → 9 Dec 2015

Publication series

Name	IEEE International Conference on Industrial Engineering and Engineering Management
Volume	2016-January
ISSN (Print)	2157-3611
ISSN (Electronic)	2157-362X

Conference

Conference	IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2015
Country/Territory	Singapore
City	Singapore
Period	6/12/15 → 9/12/15

Keywords

Cusp catastrophe theory
Information entropy
Reconfigurable manufacturing system
Reconfiguration timing

Access to Document

10.1109/IEEM.2015.7385620

Cite this

Huang, S. H., Wang, G. X., & Yan, Y. (2016). Decision-making method of reconfigurable manufacturing system's reconfiguration timing based on catastrophe theory. In IEEM 2015 - 2015 IEEE International Conference on Industrial Engineering and Engineering Management (pp. 120-124). Article 7385620 (IEEE International Conference on Industrial Engineering and Engineering Management; Vol. 2016-January). IEEE Computer Society. https://doi.org/10.1109/IEEM.2015.7385620

Huang, S. H. ; Wang, G. X. ; Yan, Y. / Decision-making method of reconfigurable manufacturing system's reconfiguration timing based on catastrophe theory. IEEM 2015 - 2015 IEEE International Conference on Industrial Engineering and Engineering Management. IEEE Computer Society, 2016. pp. 120-124 (IEEE International Conference on Industrial Engineering and Engineering Management).

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title = "Decision-making method of reconfigurable manufacturing system's reconfiguration timing based on catastrophe theory",

abstract = "For the problem how to make the decision of RMS's reconfiguration timing, a decision-making method based on information entropy and cusp catastrophe theory is proposed. The information entropy was used to characterize the complexity of RMS, including the factors of machine states, part states and so on. The RMS passive and positive information entropies were used as control variables of cusp catastrophe. According to the cusp catastrophe mutation determination condition, the RMS mutation point was decided, which was the RMS's reconfiguration time. A case study validated the effectiveness and practicability of the method proposed, which guided the launch of RMS reconfiguration in time and improve the response ability of RMS.",

keywords = "Cusp catastrophe theory, Information entropy, Reconfigurable manufacturing system, Reconfiguration timing",

author = "Huang, {S. H.} and Wang, {G. X.} and Y. Yan",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2015 ; Conference date: 06-12-2015 Through 09-12-2015",

year = "2016",

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doi = "10.1109/IEEM.2015.7385620",

language = "English",

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Huang, SH, Wang, GX & Yan, Y 2016, Decision-making method of reconfigurable manufacturing system's reconfiguration timing based on catastrophe theory. in IEEM 2015 - 2015 IEEE International Conference on Industrial Engineering and Engineering Management., 7385620, IEEE International Conference on Industrial Engineering and Engineering Management, vol. 2016-January, IEEE Computer Society, pp. 120-124, IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2015, Singapore, Singapore, 6/12/15. https://doi.org/10.1109/IEEM.2015.7385620

Decision-making method of reconfigurable manufacturing system's reconfiguration timing based on catastrophe theory. / Huang, S. H.; Wang, G. X.; Yan, Y.
IEEM 2015 - 2015 IEEE International Conference on Industrial Engineering and Engineering Management. IEEE Computer Society, 2016. p. 120-124 7385620 (IEEE International Conference on Industrial Engineering and Engineering Management; Vol. 2016-January).

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

TY - GEN

T1 - Decision-making method of reconfigurable manufacturing system's reconfiguration timing based on catastrophe theory

AU - Huang, S. H.

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AU - Yan, Y.

PY - 2016/1/18

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N2 - For the problem how to make the decision of RMS's reconfiguration timing, a decision-making method based on information entropy and cusp catastrophe theory is proposed. The information entropy was used to characterize the complexity of RMS, including the factors of machine states, part states and so on. The RMS passive and positive information entropies were used as control variables of cusp catastrophe. According to the cusp catastrophe mutation determination condition, the RMS mutation point was decided, which was the RMS's reconfiguration time. A case study validated the effectiveness and practicability of the method proposed, which guided the launch of RMS reconfiguration in time and improve the response ability of RMS.

AB - For the problem how to make the decision of RMS's reconfiguration timing, a decision-making method based on information entropy and cusp catastrophe theory is proposed. The information entropy was used to characterize the complexity of RMS, including the factors of machine states, part states and so on. The RMS passive and positive information entropies were used as control variables of cusp catastrophe. According to the cusp catastrophe mutation determination condition, the RMS mutation point was decided, which was the RMS's reconfiguration time. A case study validated the effectiveness and practicability of the method proposed, which guided the launch of RMS reconfiguration in time and improve the response ability of RMS.

KW - Cusp catastrophe theory

KW - Information entropy

KW - Reconfigurable manufacturing system

KW - Reconfiguration timing

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M3 - Conference contribution

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T3 - IEEE International Conference on Industrial Engineering and Engineering Management

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BT - IEEM 2015 - 2015 IEEE International Conference on Industrial Engineering and Engineering Management

PB - IEEE Computer Society

T2 - IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2015

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Huang SH, Wang GX, Yan Y. Decision-making method of reconfigurable manufacturing system's reconfiguration timing based on catastrophe theory. In IEEM 2015 - 2015 IEEE International Conference on Industrial Engineering and Engineering Management. IEEE Computer Society. 2016. p. 120-124. 7385620. (IEEE International Conference on Industrial Engineering and Engineering Management). doi: 10.1109/IEEM.2015.7385620

Decision-making method of reconfigurable manufacturing system's reconfiguration timing based on catastrophe theory

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