Abstract
For the manufacturing project of large and complex equipment, due to the large number of activities, and the complex structure of the project, there are often cases where multiple projects are going on at the same time, which might make the project’s network planning extremely difficult. Based on the analysis of the BOM and classification characteristics of complex manufacturing equipment, this paper proposed an innovative method, which can decompose and transform the component units based on the BOM, so that the BOM of the complex project can be hierarchically optimized and simplified. Then it can be transformed into project network plan by Petri net unit transformation method, so as to realize the decomposition and arrangement of multiple project plans. On this basis, aiming at the problem of resource leveling in multi-project planning management, this paper proposes a genetic algorithm, which provides a transformation method for resource optimization. In addition, this paper presents a new genetic coding method and improves the crossover operation. Case study shows that the algorithm can solve the resource balance problem of multi-project planning successfully. Finally, in order to verify the effectiveness of the algorithm, the proposed algorithm is compared with the other two algorithms intuitively and quantitatively.
Highlights
Network planning is a planning method of project management, and it is the theoretical basis of project planning
The main contribution of this paper includes the following three aspects: first, this paper studies the BOM of complex projects and their production characteristics, and proposes a BOM conversion method based on component unit decomposition to realize the simplification of complex projects; second, this paper proposes a mapping method from project BOM to Petri net process model, so as to realize the creation of the project network plan based on the Petri net model; third, this paper proposes a new optimization algorithm that can be used for the resource balance of the above-mentioned complex project, and gives a calculation example and a comparison of the optimization results., and the results are compared with those of PSO and ACO
We studied the BOM and production characteristics of large and complex projects, and proposed a network plan decomposition method
Summary
Network planning is a planning method of project management, and it is the theoretical basis of project planning. Damci et al [29] studied the impact on different objective functions as resource leveling with Line-of-Balance scheduling methodology, and realized the allocation of resources through a genetic algorithm-based model; Chu et al [30] solved the multi-mode resource constrained project scheduling problem with activity overlapping, an optimization model is proposed. The main contribution of this paper includes the following three aspects: first, this paper studies the BOM of complex projects and their production characteristics, and proposes a BOM conversion method based on component unit decomposition to realize the simplification of complex projects; second, this paper proposes a mapping method from project BOM to Petri net process model, so as to realize the creation of the project network plan based on the Petri net model; third, this paper proposes a new optimization algorithm that can be used for the resource balance of the above-mentioned complex project, and gives a calculation example and a comparison of the optimization results., and the results are compared with those of PSO and ACO. The last section is the conclusion, which summarizes and prospects the research results of this paper
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