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<record>
  <title>Team Capacity Evaluation and Scheduling Model for Collaborative Product Design</title>
  <journal>Journal of Information Technology Review</journal>
  <author>Xiaolei Wang</author>
  <volume>9</volume>
  <issue>1</issue>
  <year>2018</year>
  <doi></doi>
  <url>http://www.dline.info/jitr/fulltext/v9n1/jitrv9n1_1.pdf</url>
  <abstract>In collaborative product design project, reasonable resource allocation can shorten development cycle and
reduce cost. Then, team capacity evaluation and task-team scheduling model are presented. Collaborative team capacity
model is constructed, and 2-tuple linguistic method is used to evaluate the capacity of collaborative team. Then, matching
degree between design task and collaborative team is defined. A collaborative product design scheduling model considering
task-team matching is developed. Combined with simulated annealing operator, based on single-coding strategy, selfadaptive
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>
</record>
