Task Decomposition Method of R&D Project Based on Product Structure Tree

2014 ◽  
Vol 9 (7) ◽  
Author(s):  
Peng Jia ◽  
Qi Gao ◽  
Xue Ji ◽  
Ting Xu
2013 ◽  
Vol 397-400 ◽  
pp. 966-969
Author(s):  
Yan Hui Chen ◽  
Yue Ping Chen

This paper proposes a product module division method based on BOM and degree of modularity. First, based on BOM, the product structure tree is formed by taking spare parts as nodes, and the incidence matrix and correlation diagram are obtained by analyzing a variety of correlation of the nodes. Then, it proposes the definition of the degree of modularity, minimum value and mean value of the optimal degree of modularity are selected to determine the division of the modules. Finally, the working unit of the wheel loader are taken as an example to describe the reasonableness and effectiveness of this method.


Author(s):  
So Young Kim ◽  
Karen Feigh ◽  
Seung Man Lee ◽  
Eric Johnson

2011 ◽  
Vol 121-126 ◽  
pp. 2377-2381
Author(s):  
Peng Jia ◽  
Qi Gao ◽  
Shan Hui Zhang ◽  
Gang Liu

Based on the analysis of data relationship between product structure and project plan of R&D projects, this paper proposes the mapping rules of product structure nodes and project task nodes, and establishes the mapping of the relationship between components and tasks. In this paper project plan is decomposed on the basis of product structure, so the workload of task decomposition of project manager is reduced, the efficiency is improved, and the accuracy and completeness of the task is ensured.


Symmetry ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1311
Author(s):  
Yanjuan Hu ◽  
Ziyu Zhang ◽  
Jinwu Wang ◽  
Zhanli Wang ◽  
Hongliang Liu

As a new service-oriented manufacturing paradigm, cloud manufacturing (CMfg) realizes the optimal allocation of resources in the product manufacturing process through the network. Task decomposition is a key problem of the CMfg system for resource scheduling. A high-quality task decomposition method can shorten product development time, reduce costs for resource service providers, and provide technical support for the application of CMfg. However, a cloud manufacturing system has to manage the allocation the correct amount of manufacturing resources, complex production processes, and highly dynamic production environments. At the same time, the tasks issued by service demanders are usually asymmetric and tightly coupled. We solve the complex task decomposition problem by using the traditional methods, that are hard to complete in CMfg. To overcome the shortcomings of CMfg, this paper proposed a task decomposition method based on the cloud platform. For achieving modular production, this approach creatively divides the product production process into four stages: design, manufacturing, transportation, and maintenance. Then a hybrid method, which combines with depth-first search algorithm, fast modular optimization algorithm, and artificial bee colony algorithm, is introduced. The method can obtain a multi-stage task optimization decomposition plan in CMfg. Simulation results demonstrate the proposed method can achieve complex task optimization decomposition in a CMfg environment.


Optimization ◽  
1975 ◽  
Vol 6 (4) ◽  
pp. 549-559
Author(s):  
L. Gerencsér

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