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An empirical study of collaborative capacity evaluation and scheduling optimization for a CPD project.
- Source :
- PLoS ONE; 8/1/2018, Vol. 13 Issue 8, p1-16, 16p
- Publication Year :
- 2018
-
Abstract
- In a collaborative product design project, reasonable resource allocation can shorten the development cycle and reduce cost. Team capacity evaluation and a task-team scheduling model are presented. A collaborative team capacity model is constructed, and a 2-tuple linguistic method is used to evaluate the capacity of collaborative teams. Next, the matching degree between design task and collaborative team is defined. A collaborative product design scheduling model considering task-team matching is developed. Combined with the simulated annealing operator, based on the single-coding strategy, self-adaptive multi-point cross and mutation, an improved genetic algorithm is proposed to solve the model. Finally, a case study is presented to validate the method. [ABSTRACT FROM AUTHOR]
- Subjects :
- PRODUCT design
COST
TASKS
GENETIC algorithms
LINGUISTIC analysis
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 13
- Issue :
- 8
- Database :
- Complementary Index
- Journal :
- PLoS ONE
- Publication Type :
- Academic Journal
- Accession number :
- 131014043
- Full Text :
- https://doi.org/10.1371/journal.pone.0200753