Research on rework strategies for reconfigurable manufacturing system considering mission reliability

Wei Dai; Jian Chu; Paul G. Maropoulos; Yu Zhao

doi:10.1016/j.procir.2014.10.030

Research on rework strategies for reconfigurable manufacturing system considering mission reliability

Wei Dai^*, Jian Chu, Paul G. Maropoulos, Yu Zhao

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

Rework strategies that involve different checking points as well as rework times can be applied into reconfigurable manufacturing system (RMS) with certain constraints, and effective rework strategy can significantly improve the mission reliability of manufacturing process. The mission reliability of process is a measurement of production ability of RMS, which serves as an integrated performance indicator of the production process under specified technical constraints, including time, cost and quality. To quantitatively characterize the mission reliability and basic reliability of RMS under different rework strategies, rework model of RMS was established based on the method of Logistic regression. Firstly, the functional relationship between capability and work load of manufacturing process was studied through statistically analyzing a large number of historical data obtained in actual machining processes. Secondly, the output, mission reliability and unit cost in different rework paths were calculated and taken as the decision variables based on different input quantities and the rework model mentioned above. Thirdly, optimal rework strategies for different input quantities were determined by calculating the weighted decision values and analyzing advantages and disadvantages of each rework strategy. At last, case application were demonstrated to prove the efficiency of the proposed method.

Original language	English
Pages (from-to)	199-204
Number of pages	6
Journal	Procedia CIRP
Volume	25
Early online date	10 Dec 2014
DOIs	https://doi.org/10.1016/j.procir.2014.10.030
Publication status	Published - 2014
Event	8th international conference on Digital Enterprise Technology - Stuttgart, Germany Duration: 25 Mar 2014 → 28 Mar 2014

Bibliographical note

8th International Conference on Digital Enterprise Technology - DET 2014 Disruptive Innovation in Manufacturing Engineering towards the 4th Industrial Revolution.

© 2014 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).

Keywords

logistic regression model
mission reliability
reconfigurable manufacturing system
rework strategy

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10.1016/j.procir.2014.10.030

Reconfigurable manufacturing system considering mission reliability
© 2014 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).
Final published version, 420 KBLicence: CC BY 3.0

Cite this

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title = "Research on rework strategies for reconfigurable manufacturing system considering mission reliability",

abstract = "Rework strategies that involve different checking points as well as rework times can be applied into reconfigurable manufacturing system (RMS) with certain constraints, and effective rework strategy can significantly improve the mission reliability of manufacturing process. The mission reliability of process is a measurement of production ability of RMS, which serves as an integrated performance indicator of the production process under specified technical constraints, including time, cost and quality. To quantitatively characterize the mission reliability and basic reliability of RMS under different rework strategies, rework model of RMS was established based on the method of Logistic regression. Firstly, the functional relationship between capability and work load of manufacturing process was studied through statistically analyzing a large number of historical data obtained in actual machining processes. Secondly, the output, mission reliability and unit cost in different rework paths were calculated and taken as the decision variables based on different input quantities and the rework model mentioned above. Thirdly, optimal rework strategies for different input quantities were determined by calculating the weighted decision values and analyzing advantages and disadvantages of each rework strategy. At last, case application were demonstrated to prove the efficiency of the proposed method.",

keywords = "logistic regression model, mission reliability, reconfigurable manufacturing system, rework strategy",

author = "Wei Dai and Jian Chu and Maropoulos, {Paul G.} and Yu Zhao",

note = "8th International Conference on Digital Enterprise Technology - DET 2014 Disruptive Innovation in Manufacturing Engineering towards the 4th Industrial Revolution. {\textcopyright} 2014 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).; 8th international conference on Digital Enterprise Technology , DET 2014 ; Conference date: 25-03-2014 Through 28-03-2014",

year = "2014",

doi = "10.1016/j.procir.2014.10.030",

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AU - Dai, Wei

AU - Chu, Jian

AU - Maropoulos, Paul G.

AU - Zhao, Yu

N1 - 8th International Conference on Digital Enterprise Technology - DET 2014 Disruptive Innovation in Manufacturing Engineering towards the 4th Industrial Revolution. © 2014 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).

PY - 2014

Y1 - 2014

N2 - Rework strategies that involve different checking points as well as rework times can be applied into reconfigurable manufacturing system (RMS) with certain constraints, and effective rework strategy can significantly improve the mission reliability of manufacturing process. The mission reliability of process is a measurement of production ability of RMS, which serves as an integrated performance indicator of the production process under specified technical constraints, including time, cost and quality. To quantitatively characterize the mission reliability and basic reliability of RMS under different rework strategies, rework model of RMS was established based on the method of Logistic regression. Firstly, the functional relationship between capability and work load of manufacturing process was studied through statistically analyzing a large number of historical data obtained in actual machining processes. Secondly, the output, mission reliability and unit cost in different rework paths were calculated and taken as the decision variables based on different input quantities and the rework model mentioned above. Thirdly, optimal rework strategies for different input quantities were determined by calculating the weighted decision values and analyzing advantages and disadvantages of each rework strategy. At last, case application were demonstrated to prove the efficiency of the proposed method.

AB - Rework strategies that involve different checking points as well as rework times can be applied into reconfigurable manufacturing system (RMS) with certain constraints, and effective rework strategy can significantly improve the mission reliability of manufacturing process. The mission reliability of process is a measurement of production ability of RMS, which serves as an integrated performance indicator of the production process under specified technical constraints, including time, cost and quality. To quantitatively characterize the mission reliability and basic reliability of RMS under different rework strategies, rework model of RMS was established based on the method of Logistic regression. Firstly, the functional relationship between capability and work load of manufacturing process was studied through statistically analyzing a large number of historical data obtained in actual machining processes. Secondly, the output, mission reliability and unit cost in different rework paths were calculated and taken as the decision variables based on different input quantities and the rework model mentioned above. Thirdly, optimal rework strategies for different input quantities were determined by calculating the weighted decision values and analyzing advantages and disadvantages of each rework strategy. At last, case application were demonstrated to prove the efficiency of the proposed method.

KW - logistic regression model

KW - mission reliability

KW - reconfigurable manufacturing system

KW - rework strategy

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DO - 10.1016/j.procir.2014.10.030

M3 - Article

SN - 2212-8271

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JO - Procedia CIRP

JF - Procedia CIRP

T2 - 8th international conference on Digital Enterprise Technology

Y2 - 25 March 2014 through 28 March 2014

ER -

Research on rework strategies for reconfigurable manufacturing system considering mission reliability

Abstract

Bibliographical note

Keywords

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