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General multi-state rework network and reliability algorithm

Author

Listed:
  • Hao, Zhifeng
  • Yeh, Wei-Chang
  • Liu, Zhenyao
  • Forghani-elahabad, Majid

Abstract

A rework network is a common manufacturing system, in which flows (products) are processed in a sequence of workstations (nodes), which often results in defective products. To improve the productivity and utility of the system, the rework network allows some of the defective products to go back to the “as normal†condition after the rework process. Since 2017 [1, 2], the traditional study proposed an algorithm to correct more than 21 archive publications regarding the rework network reliability problem, which is an important real-life problem. In addition to traditional research, we provide an accurate general model based on the novel state distribution with a smaller number of limitations. Furthermore, we propose an algorithm to calculate the reliability of the multi-state rework networks using the proposed novel state distributions.

Suggested Citation

  • Hao, Zhifeng & Yeh, Wei-Chang & Liu, Zhenyao & Forghani-elahabad, Majid, 2020. "General multi-state rework network and reliability algorithm," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    • Handle: RePEc:eee:reensy:v:203:y:2020:i:c:s0951832020305494
    DOI: 10.1016/j.ress.2020.107048
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    References listed on IDEAS

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    1. Teunter, Ruud & Kaparis, Konstantinos & Tang, Ou, 2008. "Multi-product economic lot scheduling problem with separate production lines for manufacturing and remanufacturing," European Journal of Operational Research, Elsevier, vol. 191(3), pages 1241-1253, December.
    2. Wei-Chang Yeh, 2017. "Methodology for the reliability evaluation of the novel learning-effect multi-state flow network," IISE Transactions, Taylor & Francis Journals, vol. 49(11), pages 1078-1085, November.
    3. Ramirez-Marquez, José Emmanuel & Li, Qing, 2018. "Locating and protecting facilities from intentional attacks using secrecyAuthor-Name: Zhang, Chi," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 51-62.
    4. Tina Song, Wheyming & Lin, Peisyuan, 2018. "System reliability of stochastic networks with multiple reworks," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 258-268.
    5. Wu, Wei-wei & Ning, Angelika & Ning, Xuan-xi, 2008. "Evaluation of the reliability of transport networks based on the stochastic flow of moving objects," Reliability Engineering and System Safety, Elsevier, vol. 93(6), pages 838-844.
    6. Forghani-elahabad, Majid & Kagan, Nelson & Mahdavi-Amiri, Nezam, 2019. "An MP-based approximation algorithm on reliability evaluation of multistate flow networks," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    7. Chen, Miao-Sheng & Lan, Chun-Hsiung, 2001. "The maximal profit flow model in designing multiple-production-line system with obtainable resource capacity," International Journal of Production Economics, Elsevier, vol. 70(2), pages 175-184, March.
    8. McCarter, Matthew & Barker, Kash & Johansson, Jonas & Ramirez-Marquez, Jose E., 2018. "A bi-objective formulation for robust defense strategies in multi-commodity networks," Reliability Engineering and System Safety, Elsevier, vol. 176(C), pages 154-161.
    9. Yeh, Wei-Chang, 2017. "Evaluation of the one-to-all-target-subsets reliability of a novel deterioration-effect acyclic multi-state information network," Reliability Engineering and System Safety, Elsevier, vol. 166(C), pages 132-137.
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    Cited by:

    1. Chang, Ping-Chen, 2022. "MC-based simulation approach for two-terminal multi-state network reliability evaluation without knowing d-MCs," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
    2. Yeh, Wei-Chang, 2022. "Novel direct algorithm for computing simultaneous all-level reliability of multistate flow networks," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    3. Forghani-elahabad, Majid & Yeh, Wei-Chang, 2022. "An improved algorithm for reliability evaluation of flow networks," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    4. Hao, Zhifeng & Yeh, Wei-Chang & Tan, Shi-Yi, 2021. "One-batch preempt deterioration-effect multi-state multi-rework network reliability problem and algorithms," Reliability Engineering and System Safety, Elsevier, vol. 215(C).

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