3 results about "Critical path method" patented technology

This invention discloses an intelligent project scheduling method and system based on multi-constraint optimization, relating to the field of smart project management. It constructs a multi-dimensional constraint model for the project, including task sequence relationships, resource skill matrices, construction space grids and capacity, and personnel risk coefficients. An initial feasible plan is generated based on the critical path method and heuristic resource balancing. The initial plan is then iteratively optimized using a multi-objective optimization algorithm to obtain the Pareto optimal plan. This invention improves the rationality and feasibility of project scheduling by constructing a multi-dimensional constraint model that comprehensively integrates various constraints such as tasks, resources, space, and personnel risks. By combining the critical path method and multi-objective optimization algorithms, a globally optimal plan is generated, achieving synergistic optimization of schedule, cost, resource balance, and personnel risk, thereby improving project construction efficiency.

This invention discloses a project portfolio optimization method based on heterogeneous networks, relating to the fields of project management and intelligent decision-making. The method first acquires project objectives, capability requirements, resource inputs, task dependencies, and risk information, and then standardizes and encodes projects, capabilities, tasks, resources, and strategies. Based on RDF triples, it constructs project association networks, capability association networks, and capability-project fusion heterogeneous networks. It uses grey relational analysis and entropy weighting to determine capability importance, and combines project support, project contribution, data envelopment analysis, CRITIC, critical path method, and TOPSIS to complete project value, core projects, critical path, and risk assessment. Under budget, capability thresholds, project mutual exclusion, and schedule constraints, a multi-objective portfolio optimization model is established, and NSGA-II is used to generate a Pareto optimal solution set. Finally, a recommended solution is output through weighted scoring. This invention can improve the systematicity, accuracy, and risk controllability of resource allocation.

The application relates to the technical field of municipal engineering construction progress management, and discloses a construction progress management method and system fusing an underground pipeline digital model, which is suitable for a city water supply network reconstruction project. The method comprises the following steps: constructing an underground pipeline digital model fusing pipeline, geology, pipe material and construction constraint parameters and verifying the precision; generating an initial progress plan based on the model in combination with an improved critical path method and Monte Carlo simulation; collecting data through a multi-source sensing terminal and dynamically updating the model by using an improved Kalman filtering algorithm; quantifying progress deviation and locating causes by using an entropy weight-TOPSIS combination algorithm; adjusting progress and resources and formulating an emergency plan based on a particle swarm optimization algorithm; and constructing a progress-quality-pipeline safety correlation database in an acceptance stage to realize closed-loop management. Six function modules are correspondingly arranged in the system. The application improves the digitization and scientific level of progress management, solves problems such as poor adaptability and inaccurate deviation positioning of traditional management, and is suitable for complex working conditions.