A Method for Efficient Task Assignment Based on the Satisfaction Degree of Knowledge
Joint Authors
Su, Jiafu
Wang, Jie
Liu, Sheng
Zhang, Na
Li, Chi
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-03
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
For the product R&D process, it is a challenge to effectively and reasonably assign tasks and estimate their execution time.
This paper develops a method system for efficient task assignment in product R&D.
The method system consists of three components: similar tasks identification, tasks’ execution time calculation, and task assignment model.
The similar tasks identification component entails the retrieval of a similar task model to identify similar tasks.
From the knowledge-based view, the tasks’ execution time calculation component uses the BP neural network to predict tasks’ execution time according to the previous similar tasks and the Task–Knowledge–Person (TKP) network.
When constructing the BP neural network, the satisfaction degree of knowledge and the execution time are set as the input and output, respectively.
Considering the uncertain factors associated with the whole R&D process, the task assignment model component serves as a robust optimization model to assign tasks.
Then, an improved genetic algorithm is developed to solve the task assignment model.
Finally, the results of numerical experiment are reported to validate the effectiveness of the proposed methods.
American Psychological Association (APA)
Su, Jiafu& Wang, Jie& Liu, Sheng& Zhang, Na& Li, Chi. 2020. A Method for Efficient Task Assignment Based on the Satisfaction Degree of Knowledge. Complexity،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1141494
Modern Language Association (MLA)
Su, Jiafu…[et al.]. A Method for Efficient Task Assignment Based on the Satisfaction Degree of Knowledge. Complexity No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1141494
American Medical Association (AMA)
Su, Jiafu& Wang, Jie& Liu, Sheng& Zhang, Na& Li, Chi. A Method for Efficient Task Assignment Based on the Satisfaction Degree of Knowledge. Complexity. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1141494
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1141494