An Evaluation Method for Engineering Emergency Repair Measures Based on User Experience Indicators

Liang-ze-nan Wang () and Pei Li ()
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Liang-ze-nan Wang: Changjiang Institute of Technology
Pei Li: Changjiang Institute of Technology

A chapter in Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), 2024, pp 109-116 from Springer

Abstract: Abstract The choice of remediation measures in a project usually depends on indicators such as the time and money spent on the measure and the impact of its implementation on the surrounding environment. However, these indicators are not able to comprehensively evaluate the good and bad engineering measures, and two empirical indicators are added in this paper for evaluation, which are the indicator of measure utilization rate and the indicator of measure implementation success rate. In today’s era of big data, as the number of users using the measures continues to increase, the data on usage and success rates continues to improve, allowing these two indicators to represent the experience of user usage to be preserved. This paper proposes an evaluation method for engineering remediation measures using the extensional evaluation method combined with two empirical indicators. This method solves the problem of passing on experience in the use of engineering remediation measures, so that experienced workers no longer need to instruct new workers in the use of the measures, and the evaluation results for the measures will be more accurate as the use data grows over time. In this paper, we use the extensional evaluation method combined with two empirical indicators to evaluate several engineering measures. The results show that although the measure utilization rate and the measure implementation success rate are new indicators, they can replace some indicators with certain regularity that have not been found to evaluate the merits of the measures more comprehensively.

Keywords: Engineering; Evaluation method; measure; user experience; indicator (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-256-9_12

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