Multistage PRIM: patient rule induction method for optimisation of a multistage manufacturing process |
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Authors: | Doh-Soon Kwak Myeong-Soo Lee |
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Affiliation: | 1. Division of Mechanical and Industrial Engineering , Pohang University of Science and Technology , San 31, Hyoja-Dong, Nam-Gu, Pohang, Kyungbuk 790-784, Republic of Korea;2. Department of e-Management Information Systems , Cheju Halla College , 38 Halladaehakno, Jeju-si, Jeju Special Self-Governing Province, 690–708, Republic of Korea |
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Abstract: | Industries such as automotive, LCD, PDP, semiconductor and steel produce products through multistage manufacturing processes. In a multistage manufacturing process, performances of stages are not independent. Therefore, the relationship between stages should be considered when optimising the multistage manufacturing process. This study proposes a new procedure of optimising a multistage manufacturing process, called multistage PRIM (patient rule induction method). Multistage PRIM extends the scope of process optimisation from a single stage to the multistage process, and it can use the information encapsulated in the relationship between stages when maximising each stage's performance. A case study in a multistage steel manufacturing process is conducted to illustrate the proposed procedure. |
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Keywords: | multistage manufacturing process data mining approach patient rule induction method process optimisation |
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