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Group Decision Making for Product Innovation Based on PZB Model in Fuzzy Environment: A Case from New-Energy Storage Innovation Design

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  • Jiawei Shi

    (School of Civil and Environmental Engineering, University of New South Wales Sydney, Sydney 2052, Australia
    School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China)

  • Yan Zhou

    (School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China)

Abstract

According to the World Economic Forum, countries and regions should steer their energy systems toward cheaper, safer, and more sustainable energy sources, and move away from their reliance on traditional energy sources. With this trend, it is significant that new-energy battery enterprises should not only maintain their current installed product, but also attract more consumers. Due to the differences in customers, there are different requirements for the products. Thus, this paper chooses new-energy storage product innovation design as the object, and proposes a novel multiagent group decision-making method based on QFD and PZB models in a fuzzy environment. Firstly, extensively collected multiagent (consumer and designer) requirements are transformed into specific functions through an extended multiagent QFD with HFLTS, and the relationship coefficients are derived. Afterward, different design schemes for functional components are evaluated according to the concept of the PZB model. Then, the satisfaction degree interval is calculated for each partial design. On the basis of these indicators, a multiagent multi-objective optimization model is established. Afterward, solving he model through NSGA-II quickly generates the most suitable product innovation design scheme. Lastly, the feasibility and superiority of proposed method are illustrated through innovation design for a new-energy storage battery.

Suggested Citation

  • Jiawei Shi & Yan Zhou, 2022. "Group Decision Making for Product Innovation Based on PZB Model in Fuzzy Environment: A Case from New-Energy Storage Innovation Design," Mathematics, MDPI, vol. 10(19), pages 1-26, October.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:19:p:3634-:d:933547
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    Cited by:

    1. Kangye Tan & Yihui Tian & Fang Xu & Chunsheng Li, 2023. "Research on Multi-Objective Optimal Scheduling for Power Battery Reverse Supply Chain," Mathematics, MDPI, vol. 11(4), pages 1-26, February.
    2. Peng Shao & Runhua Tan & Qingjin Peng & Wendan Yang & Fang Liu, 2023. "An Integrated Method to Acquire Technological Evolution Potential to Stimulate Innovative Product Design," Mathematics, MDPI, vol. 11(3), pages 1-24, January.

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