Modeling and Improvement Mechanism for the Applicability Evaluation of Work-Hour Allocation Standards in Modern Shipbuilding

Abstract

This study proposes a data-driven applicability evaluation method for work-hour allocation standards in modern shipbuilding to address the lack of a systematic evaluation framework and the strong subjectivity of existing evaluation approaches. An evaluation index system covering the design, implementation, and feedback stages of the work-hour standard life cycle was established through literature analysis and questionnaire surveys. The indicators were standardized, and the K-means++ clustering algorithm was employed to objectively classify applicability levels based on historical work-hour data, thereby constructing a comprehensive evaluation model for identifying deficiencies in work-hour standards. A case study on the work-hour allocation standard for hull block manufacturing was conducted to validate the proposed method. The results show that the model effectively identifies weaknesses in data acquisition, standard implementation, and operational feedback, providing targeted guidance for standard improvement. The proposed evaluation framework enables objective applicability assessment and supports a closed-loop optimization process, offering a practical decision-making tool for the continuous improvement and lean management of shipbuilding work-hour standards.