Research on rework strategies for reconfigurable manufacturing system considering mission reliability


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.

Publication DOI:
Divisions: Aston University (General)
Additional Information: 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 (
Uncontrolled Keywords: logistic regression model,mission reliability,reconfigurable manufacturing system,rework strategy,Control and Systems Engineering,Industrial and Manufacturing Engineering
Publication ISSN: 2212-8271
Last Modified: 05 Jan 2024 08:15
Date Deposited: 08 Sep 2015 09:55
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2014
Published Online Date: 2014-12-10
Authors: Dai, Wei
Chu, Jian
Maropoulos, Paul G. (ORCID Profile 0000-0001-6525-6216)
Zhao, Yu



Version: Published Version

License: Creative Commons Attribution

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