Open AccessAn empirical study of collaborative capacity evaluation and scheduling optimization for a CPD project
Author(s) -
Xiaolei Wang,
Tiejun Ci,
SangBing Tsai,
Aijun Liu,
Quan Chen
Publication year - 2018
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0200753
Subject(s) - computer science , scheduling (production processes) , coding (social sciences) , simulated annealing , operations research , mathematical optimization , machine learning , engineering , mathematics , statistics
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.