Abstrato

An effective task allocation for customized products

Yongyan Chen, Wei Dai

To deal with the problem of task allocation for a large comprehensively customized product, which cannot be assessed very well owing to lack of work unit skills, experience, knowledge, and dependence relationships, we propose a task allocation method based on similar experience and knowledge, and present a task completion time assessment method based on a genetic algorithm. By calculating the similarity between the knowledge required by particular tasks, the new task allocation method will take the task constraints into consideration. The results of simulation experiments on a custom developed wind turbine project show that the proposed method is correct and valid.