PROJECT COST CONTROL AND STANDARDIZED CONSTRUCTION MANAGEMENT OF A HEALTH TOURISM CENTER CONSTRUCTION PROJECT

Abstract

This study aims to construct an integrated evaluation framework that combines the Entropy Weight Method and Normal Cloud Model to achieve scientific quantitative analysis of cost control and construction standardization management in the development of health tourism centers. The research begins by reviewing the historical progress and existing studies on construction project cost control and construction standardization management from both international and Chinese perspectives. Based on this, a multi-level indicator system has been established, encompassing six dimensions-construction costs, construction progress, construction safety, construction quality, energy management, and environmental impact-comprising a total of 22 specific evaluation indicators. This system is designed to provide a systematic assessment standard for the construction standardization of health tourism centers.

The primary academic contributions of this study are twofold: First, from a technical and economic perspective, a multi-level indicator system influencing construction project cost control has been established, ensuring a high degree of alignment between the evaluation indicators and actual engineering design requirements. Second, the study delves into the multi-dimensional factors affecting construction standardization management and constructs a construction standardization evaluation indicator system closely aligned with practical operations. Additionally, the research innovatively applies the mathematical theories of the Entropy Weight Method and Normal Cloud Model to project management practices, offering new insights and methodological support for addressing engineering management challenges in similar construction projects.

Despite the use of diverse methods, including literature review, entropy evaluation, cloud theory-based assessment, comprehensive evaluation, and empirical analysis, the study's limitation lies in its specific case study, which is based on data from the health tourism center construction project at the Dongfeng Yun International Health and Tourism Resort in Mile City, Yunnan Province, China. Therefore, the generalizability of the findings requires further validation. To enhance the applicability of the research, future studies could consider cross-regional and cross-project comparative analyses to strengthen the external validity of the conclusions.

On the methodological front, this study provides a detailed exposition of the theoretical foundation and operational procedures of the entropy evaluation method, including the construction of uncertainty indicator measurement models, data standardization, determination of indicator peaks, allocation of comprehensive weights, selection of confidence level λ, and calculation of comprehensive evaluation values. The study also systematically introduces the theoretical framework, numerical characteristics, generation algorithms, and 3En rules of the normal cloud model, providing a robust theoretical foundation for the effective application of the Entropy Weight Method-Normal Cloud Model.

Through empirical research, the study conducted an in-depth analysis and evaluation of the construction proposals of four construction companies involved in the aforementioned health tourism center project. The results confirmed the effectiveness and practicality of the integrated evaluation model. The findings demonstrate that the combination of the Entropy Weight Method and Normal Cloud Model can significantly enhance the precision and efficiency of project cost control and construction standardization management. This provides scientific evidence for decision-makers, aiding in the optimization of resource allocation, cost reduction, quality improvement, technological innovation, user rights protection, and the promotion of green and sustainable development. This research not only enriches the theoretical framework of construction project management but also offers a powerful tool for practical engineering management.

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