A product co-design team performance evaluation method with considering both satisfaction and collaboration

Chen Chen, Fangmin Cheng, Sheng Su, Ping Liu, Xian Zhou, Jing Wang, Miao Chu, Suihuai Yu

Research output: Contribution to journalArticlepeer-review

Abstract

Team performance is a crucial factor in determining the success of innovative design teams. However, few studies have focused on quantitatively evaluation team performance based on its essential characteristics. To address this gap, a novel team performance evaluation approach is proposed to assist innovative design teams for implementing more targeted team management. First, satisfaction and collaboration are extracted as the evaluation criteria of product co-design team performance starting from the essential characteristics of team performance. Second, interval-valued intuitionistic fuzzy number (IVIFN) is introduced into the qualitative evaluation to overcome the ambiguity and uncertainty of subjective assessment, and a satisfaction evaluation model based on IVIFN-SERVQUAL is established. Additionally, a collaboration evaluation model based on co-entropy is constructed. Then, Decision Making Trial and Evaluation Laboratory (DEMATEL) under IVIFN (IVIFN-DEMATEL) is used to determine the weights of sub-tasks, thus the overall satisfaction and collaboration of the team are obtained. Moreover, the statistical distribution method is employed to determine threshold values for satisfaction and collaboration, providing a reference for evaluating whether the team's satisfaction and collaboration meet the requirements. Finally, an evaluation of a type of multiple-launch rocket launcher co-design team performance is implemented to demonstrate the proposed approach. The results indicate that the proposed method is feasible and effective to implement team performance evaluation. It could provide guidance for quantitatively evaluating team performance across related design teams and offer a basis for targeted improvements in team collaboration quality.

Original languageEnglish
Article number102420
JournalAdvanced Engineering Informatics
Volume60
DOIs
StatePublished - Apr 2024

Keywords

  • Collaboration
  • Interval-valued intuitionistic fuzzy number
  • Performance evaluation
  • Product co-design team
  • Satisfaction

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