Cognitive data imputation: case study in maintenance cost estimation
Date
2023-07-13
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Publisher
Elsevier
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Type
Article
ISSN
0007-8506
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Citation
Erkoyuncu JA, Namoano B, Kozjek D, Vrabic R. (2023) Cognitive data imputation: case study in maintenance cost estimation. CIRP Annals - Manufacturing Technology, Volume 72, Issue 1, July 2023, pp. 385-388
Abstract
Cost estimation is critical for effective decision making in engineering projects. However, it is often hampered by a lack of sufficient data. For this, data imputation techniques can be used to estimate missing costs based on statistical estimates or analogies with historical data. However, these techniques are often limited because they do not consider the existing knowledge of experts. In this paper, a novel cognitive data imputation technique is proposed for cost estimation that uses explanatory interactive machine learning to integrate and improve human knowledge. Through a case study in maintenance cost estimation the effectiveness of the approach is demonstrated.
Description
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Keywords
artificial intelligence, maintenance, cost estimation
Rights
Attribution 4.0 International