数据驱动下建筑施工企业多项目资源均衡优化及风险评价
Multi-Project Resource Equilibrium Optimization and Risk Assessment of Construction Enterprises under Data-Driven

为解决资源管理问题，帮助建筑施工企业有效应对多重挑战，确保项目的顺利进行和企业的持续发展，本文针对工期固定，多项目并行情况，以最小方差为目标函数作为评价指标进行资源均衡优化，然后采用模糊综合评价法，建立了包括人力风险、设备风险、材料风险、财务风险这4个一级风险因子及12个二级风险因子的资源风险评价体系，并通过工程实例验证本文构建的模型的可行性与有效性。该研究结论对多项目管理理论与实践具有较好的理论与借鉴意义。
In order to solve the problem of resource management, to help building construction enterprises effectively deal with multiple challenges, to ensure the smooth progress of the project and the sustainable development of the enterprise, in this paper, for the situation of fixed duration and multiple projects in parallel, we take the minimum variance as the objective function as the evaluation index to optimize the balance of resources, and then we adopt the fuzzy comprehensive evaluation method to establish a resource risk evaluation system including four primary risk factors and 12 secondary risk factors, including manpower risk, equipment risk, material risk, and financial risk, and we validate the feasibility and effectiveness of the model established in this paper through the engineering examples. Meanwhile, the validity of the model is established in this paper. The conclusion has good theoretical and reference significance for the theory and practice of multi project management.