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An empirical study of collaborative capacity evaluation and scheduling optimization for a CPD project

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  • Xiaolei Wang
  • Tiejun Ci
  • Sang-Bing Tsai
  • Aijun Liu
  • Quan Chen

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.

Suggested Citation

  • Xiaolei Wang & Tiejun Ci & Sang-Bing Tsai & Aijun Liu & Quan Chen, 2018. "An empirical study of collaborative capacity evaluation and scheduling optimization for a CPD project," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-16, August.
    • Handle: RePEc:plo:pone00:0200753
    DOI: 10.1371/journal.pone.0200753
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    References listed on IDEAS

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    4. Hajara Idris & Absalom E Ezugwu & Sahalu B Junaidu & Aderemi O Adewumi, 2017. "An improved ant colony optimization algorithm with fault tolerance for job scheduling in grid computing systems," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-24, May.
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