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Decision-making of feature operation chain considering processing requirements and manufacturing stability

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Abstract

Existing decision-making methods for selection of feature operation chains normally only consider the processing requirements and neglect the impacts of the selected feature operation chain on the production line of the enterprise. As a result, the newly inserted manufacturing task may lead to a decrease in the manufacturing stability, which increases the malfunction probability of some machines and reduces production efficiency simultaneously. To solve this problem, a decision-making method for feature operation chain selection considering processing requirements and manufacturing stability is presented. The proposed method explores the factors affecting selection of a feature operation chain and develops a fuzzy comprehensive evaluation model of feature operation chain selection using hole feature as an example, thus realizing the selection of possible feature operation chains based on processing requirements. The method further applies a complex network theory to build an enterprise manufacturing network model, analyzes the manufacturing network stability, and then evaluates potential feature operation chains using a network stability index. Experimental results show that the proposed method is feasible and effective.

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Authors and Affiliations

  1. The Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Xi’an, 710072, China

    Chunlei Li, Rong Mo, Zhiyong Chang, Haicheng Yang, Neng Wan & Dongliang Zhang

Authors
  1. Chunlei Li
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  2. Rong Mo
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  3. Zhiyong Chang
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  4. Haicheng Yang
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  5. Neng Wan
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  6. Dongliang Zhang
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Correspondence to Chunlei Li.

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Li, C., Mo, R., Chang, Z. et al. Decision-making of feature operation chain considering processing requirements and manufacturing stability. Int J Adv Manuf Technol 87, 1725–1737 (2016). https://doi.org/10.1007/s00170-016-8578-4

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  • DOI: https://doi.org/10.1007/s00170-016-8578-4

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