摘要:This issue of tweets will introduce 6 Conclusion and outlook of the master's thesis "Research on Industrial Chain Resilience from
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“越览(190)——精读硕士论文
《建筑施工企业BIM软件供应商的选择与评价研究》
的6 结论与展望
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5.2 Evaluation process and 6 Conclusion and outlook
of "Yuelan (190)——Intensive reading of
the master’s thesis
‘Research on the selection and evaluation of BIM
software suppliers for
construction enterprises’".
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一、内容摘要(Summary of content)
本期推文将从思维导图、精读内容、知识补充三个方面介绍硕士论文《建筑施工企业BIM软件供应商的选择与评价研究》的6 结论与展望。
This issue of tweets will introduce 6 Conclusion and outlook of the master's thesis "Research on Industrial Chain Resilience from the Perspective of Supply Chain Network Structure" from three aspects: mind mapping, intensive reading content, and knowledge supplement.
二、思维导图(Mind mapping)
三、精读内容(Intensive reading content)
(一)结论(Conclusion)
本文以建筑施工企业为研究对象,围绕BIM软件供应商的选择与评价问题展开系统研究,构建了具有实践指导意义的评价指标体系与综合评价模型。主要研究结论如下:
This paper takes construction companies as the research object, conducts a systematic study on the selection and evaluation of BIM software suppliers, and constructs an evaluation index system and comprehensive evaluation model with practical guidance. The main research conclusions are as follows:
1. 建立了系统的BIM软件供应商评价指标体系(Established a systematic BIM software supplier evaluation index system)
通过对建筑施工企业在BIM软件采购与应用中的核心需求进行分析,论文构建了由 软件成本、软件性能、用户服务和供应商属性 四个一级指标及其下属若干二级指标组成的综合评价体系。该体系能够全面反映BIM软件供应商在成本投入、功能性能、服务质量及企业实力等方面的综合能力,为供应商评价提供了科学的指标框架。
By analyzing the core requirements of construction companies for BIM software procurement and application, this paper constructs a comprehensive evaluation system comprised of four primary indicators—software cost, software performance, user service, and supplier attributes—and several secondary indicators. This system comprehensively reflects the comprehensive capabilities of BIM software suppliers in terms of cost input, functional performance, service quality, and corporate strength, providing a scientific indicator framework for supplier evaluation.
2. 构建了科学合理的供应商评价模型(Constructed a scientific and reasonable supplier evaluation model)
针对BIM软件供应商选择过程中存在的指标权重确定、定性指标量化及综合评价等问题,论文提出了基于 德尔菲法、方案比较法(0/1量化)和加权综合法 的评价模型。该模型能够有效处理多维度、多属性的复杂评价问题,为建筑施工企业科学选择供应商提供了定量化的决策依据。
To address the challenges of determining indicator weights, quantifying qualitative indicators, and conducting comprehensive evaluations during BIM software vendor selection, this paper proposes an evaluation model based on the Delphi method, the alternative comparison method (0/1 quantification), and a weighted comprehensive approach. This model effectively handles complex, multi-dimensional, multi-attribute evaluations, providing a quantitative basis for construction companies to scientifically select suppliers.
3. 模型具有较强的工程适用性和实践价值(The model has strong engineering applicability and practical value)
通过实证研究验证,论文所构建的BIM软件供应商评价模型在实际工程中具有良好的可操作性,能够有效辅助施工企业进行供应商筛选和优选,提升BIM软件采购决策的科学性和合理性。
Through empirical research, it is verified that the BIM software supplier evaluation model constructed in the paper has good operability in actual projects, can effectively assist construction companies in supplier screening and optimization, and improve the scientificity and rationality of BIM software procurement decisions.
(二)研究展望(Research prospects)
本部分介绍了本文的研究不足与展望:
This section introduces the research deficiencies and prospects of this article:
1. 本研究通过文献分析与问卷调查初步选取指标,并运用德尔菲法进行筛选与修正,最终构建了BIM软件供应商评价指标体系。然而,受限于文献和调研条件,体系的全面性与针对性仍有提升空间。未来研究应结合不同系列BIM软件的特点,进一步细化和完善评价指标体系。
This study initially selected indicators through literature analysis and questionnaire surveys, and then used the Delphi method to screen and refine them, ultimately constructing a BIM software vendor evaluation index system. However, due to limitations in the literature and research conditions, the comprehensiveness and specificity of the system still need to be improved. Future research should further refine and improve the evaluation index system by combining the characteristics of different BIM software series.
2. 论文采用打分法建立评价模型,虽然方法简便、应用广泛,但容易受到评价人员主观判断的影响。今后研究应探索更加客观、定量化的评价方法,以提升供应商评价结果的科学性与准确性。
The paper uses a scoring method to establish an evaluation model. Although this method is simple and widely used, it is easily influenced by the subjective judgment of the evaluators. Future research should explore more objective and quantitative evaluation methods to improve the scientificity and accuracy of supplier evaluation results.
四、知识补充(Knowledge supplement)
在建筑施工企业信息化建设过程中,BIM软件的选择不仅关系到项目管理效率和施工质量,也直接影响企业数字化转型的整体水平。BIM软件供应商评价问题本质上是一个多指标、多层次的综合决策问题,涉及管理科学、信息系统、工程经济与决策分析等多学科领域的知识。
In the process of building information technology (BIM) development within construction companies, the choice of BIM software not only impacts project management efficiency and construction quality but also directly influences the overall level of a company's digital transformation. Evaluating BIM software vendors is essentially a multi-metric, multi-layered, comprehensive decision-making process involving knowledge from multiple disciplines, including management science, information systems, engineering economics, and decision analysis.
首先,从决策理论角度看,供应商评价属于典型的多属性决策(MADM)问题。其核心在于如何将多个具有不同量纲、不同重要程度的指标进行统一分析与综合排序。现有研究中,常采用层次分析法(AHP)、模糊综合评价法、灰色关联分析法及熵权法等方法来确定指标权重或进行综合评价。本文采用德尔菲法与打分法结合的方式确定权重与评分,能够兼顾专家经验判断与模型的可操作性,但仍存在一定的主观性。未来研究可在此基础上引入模糊数学、贝叶斯网络或机器学习技术,以实现指标权重的动态修正和客观化处理。
First, from a decision-making theory perspective, supplier evaluation is a typical multi-attribute decision-making (MADM) problem. The core issue lies in the unified analysis and comprehensive ranking of multiple indicators with varying dimensions and importance. Existing research often employs methods such as the Analytic Hierarchy Process (AHP), fuzzy comprehensive evaluation, grey correlation analysis, and entropy weighting to determine indicator weights or conduct comprehensive evaluations. This paper combines the Delphi method with a scoring approach to determine weights and scores. This approach balances expert judgment with model operability, but still retains a degree of subjectivity. Future research could build on this foundation by incorporating fuzzy mathematics, Bayesian networks, or machine learning techniques to dynamically adjust and objectively process indicator weights.
其次,从信息系统绩效评价与技术管理角度看,BIM软件供应商的优劣不仅体现在软件功能和技术性能上,还与其服务质量、技术更新能力及行业影响力密切相关。随着建筑业BIM应用的深入发展,软件供应商之间的竞争逐渐从“产品竞争”转向“服务与生态竞争”。因此,在评价过程中应注重对供应商持续创新能力、技术支持体系及客户响应机制等软性指标的考量,以全面反映供应商的综合能力。
Secondly, from the perspective of information system performance evaluation and technical management, the quality of BIM software vendors is not only reflected in their software functionality and technical performance, but is also closely related to their service quality, technological update capabilities, and industry influence. With the in-depth development of BIM applications in the construction industry, competition among software vendors has gradually shifted from "product competition" to "service and ecosystem competition." Therefore, the evaluation process should focus on soft indicators such as the supplier's continuous innovation capabilities, technical support system, and customer responsiveness mechanism to fully reflect the supplier's overall capabilities.
再次,从企业战略与组织协同的角度看,BIM软件的引入不仅是技术层面的选择,更是企业战略层面的决策。合理的供应商选择能够促进施工企业内部流程再造、数据协同与信息共享,为企业构建智能建造与数字化管理体系提供支撑。同时,科学的评价体系也有助于形成标准化的供应商管理机制,提高资源配置效率,降低信息孤岛与重复投资风险。
Thirdly, from the perspective of corporate strategy and organizational collaboration, the introduction of BIM software is not only a technical choice but also a strategic decision. Appropriate supplier selection can promote internal process reengineering, data collaboration, and information sharing within construction companies, supporting the establishment of intelligent construction and digital management systems. Furthermore, a scientific evaluation system can help establish a standardized supplier management mechanism, improve resource allocation efficiency, and reduce the risks of information silos and duplicated investments.
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参考文献:王灿.供应链网络结构视角下的产业链韧性研究[D].中南财经政法大学, 2023.
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