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 journalArticlepeer-review

3 Citations (Scopus)
11 Downloads (Pure)

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 languageEnglish
Pages (from-to)199-204
Number of pages6
JournalProcedia CIRP
Volume25
Issue numberC
DOIs
Publication statusPublished - 10 Dec 2014
Externally publishedYes
EventInternational Conference on Digital Enterprise Technology - DET 2014 Disruptive Innovation in Manufacturing Engineering towards the 4th Industrial Revolution - Stuttgart, Germany
Duration: 25 Mar 201428 Mar 2014

Bibliographical note

Funding Information:
The authors wish to acknowledge the financial support of the State Scholarship Fund of China, as well as the Engineering and Physical Sciences Research Council’s Innovative Design & Manufacturing Research Centre at the University of Bath, United Kingdom.

Publisher Copyright:
© 2014 The Authors.

Keywords

  • Logistic regression model
  • Mission reliability
  • Reconfigurable manufacturing system
  • Rework strategy

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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