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A model for assessment of the impact of configuration changes in complex products

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Abstract

An assessment of the impact of configuration changes in complex products is significant for improving the accuracy of change decision-making. Most related studies lack objectivity, systematicness and applicability. For this reason, a four-phase model for the assessment of this impact is proposed. In Phase I, a network model for parameter relationships of complex products is built to accurately express the complex product structures. In Phase II, an assessment method for the change propagation probability based on the gray comprehensive relation analysis and an assessment method for the propagation impact probability via the analysis of configuration change values are proposed to compute the two probabilities objectively. In Phase III, the change propagation method is introduced to precisely assess the impact of the configuration changes between two parameters. In Phase IV, a method for assessing the overall impact of configuration changes via the division of the parameters into stages is put forward to systematically assess the impact of configuration changes on the whole complex products. The methods in the four-phase model are easy to program and could further improve the assessment efficiency. Besides, a practical application of the proposed assessment model is suggested to verify the validity and applicability of this research.

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Acknowledgements

This study was supported by National Natural Science Foundation of China (71571023) and a project supported by Graduate Research and Innovation Foundation of Chongqing, China (Grant No. CYB17024).

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Authors and Affiliations

  1. Department of Industrial Engineering, Shandong University of Science and Technology, Shandong, China

    Yu-jie Zheng

  2. Department of Industrial Engineering, Chongqing University, Chongqing, China

    Yu Yang & Na Zhang

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  1. Yu-jie Zheng
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  2. Yu Yang
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Correspondence to Yu-jie Zheng.

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Appendix

Appendix

See Tables 7, 8, 9, 10 and 11.

Table 7 The program for calculating configuration change propagation probability
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Table 8 The program for calculating the impact of configuration changes on all downstream parameters
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Table 9 The propagation probabilities among parameters in the fuel injection systems of Types A, B and C
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Table 10 The propagation impact of changes in the upstream parameters on the downstream parameters of the fuel injection system of Type A
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Table 11 The propagation impact of changes in the downstream parameters on the upstream parameters of the fuel injection system of Type A
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Zheng, Yj., Yang, Y. & Zhang, N. A model for assessment of the impact of configuration changes in complex products. J Intell Manuf 31, 501–527 (2020). https://doi.org/10.1007/s10845-018-01461-w

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