IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i19p3634-d933547.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/19/3634/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/10/19/3634/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Awanis Romli & Paul Prickett & Rossitza Setchi & Shwe Soe, 2015. "Integrated eco-design decision-making for sustainable product development," International Journal of Production Research, Taylor & Francis Journals, vol. 53(2), pages 549-571, January.
    2. Xu, Zeshui, 2005. "Deviation measures of linguistic preference relations in group decision making," Omega, Elsevier, vol. 33(3), pages 249-254, June.
    3. Gloria Bordogna & Gabriella Pasi, 1993. "A fuzzy linguistic approach generalizing Boolean Information Retrieval: A model and its evaluation," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 44(2), pages 70-82, March.
    4. Eum, Wonsub & Lee, Jeong-Dong, 2019. "Role of production in fostering innovation," Technovation, Elsevier, vol. 84, pages 1-10.
    5. Okan Duru & Sheng Huang & Emrah Bulut & Shigeru Yoshida, 2013. "Multi-layer quality function deployment (QFD) approach for improving the compromised quality satisfaction under the agency problem: A 3D QFD design for the asset selection problem in the shipping indu," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(4), pages 2259-2280, June.
    6. Poorkavoos, Meysam & Duan, Yanqing & Edwards, John S. & Ramanathan, Ramakrishnan, 2016. "Identifying the configurational paths to innovation in SMEs: A fuzzy-set qualitative comparative analysis," Journal of Business Research, Elsevier, vol. 69(12), pages 5843-5854.
    7. Yi‐Chuan Liao & Kuen‐Hung Tsai, 2019. "Innovation intensity, creativity enhancement, and eco‐innovation strategy: The roles of customer demand and environmental regulation," Business Strategy and the Environment, Wiley Blackwell, vol. 28(2), pages 316-326, February.
    8. Chen, Liang-Hsuan & Ko, Wen-Chang & Yeh, Feng-Ting, 2017. "Approach based on fuzzy goal programing and quality function deployment for new product planning," European Journal of Operational Research, Elsevier, vol. 259(2), pages 654-663.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yan, Hong-Bin & Ma, Tieju & Huynh, Van-Nam, 2017. "On qualitative multi-attribute group decision making and its consensus measure: A probability based perspective," Omega, Elsevier, vol. 70(C), pages 94-117.
    2. Gabriela Andrișan & Cătălin Grădinaru & Sorin-George Toma, 2022. "Circular Economy Business Models: The Case of Lush," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 491-497, Decembrie.
    3. Pang, Jifang & Liang, Jiye, 2012. "Evaluation of the results of multi-attribute group decision-making with linguistic information," Omega, Elsevier, vol. 40(3), pages 294-301.
    4. Ni Li & Minghui Sun & Zhuming Bi & Zeya Su & Chao Wang, 2014. "A new methodology to support group decision-making for IoT-based emergency response systems," Information Systems Frontiers, Springer, vol. 16(5), pages 953-977, November.
    5. Farzana Riva & Solon Magrizos & Mohammad Rabiul Basher Rubel, 2021. "Investigating the link between managers' green knowledge and leadership style, and their firms' environmental performance: The mediation role of green creativity," Business Strategy and the Environment, Wiley Blackwell, vol. 30(7), pages 3228-3240, November.
    6. Zeshui Xu, 2013. "Compatibility Analysis of Intuitionistic Fuzzy Preference Relations in Group Decision Making," Group Decision and Negotiation, Springer, vol. 22(3), pages 463-482, May.
    7. Xunjie Gou & Zeshui Xu & Huchang Liao, 2019. "Hesitant Fuzzy Linguistic Possibility Degree-Based Linear Assignment Method for Multiple Criteria Decision-Making," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 35-63, January.
    8. Jeremy Galbreath & Chia‐Yang Chang & Daniel Tisch, 2023. "The impact of a proactive environmental strategy on environmentally sustainable practices in service firms: The moderating effect of information use value," Business Strategy and the Environment, Wiley Blackwell, vol. 32(8), pages 5420-5434, December.
    9. Han, Myat Su & Chen, Weiming, 2021. "Determinants of eco-innovation adoption of small and medium enterprises: An empirical analysis in Myanmar," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    10. David Doloreux & Luisa Kraft, 2019. "A Taxonomy of Eco-Innovation Types in SMEs: Exploring Different Firm Profiles in the Canadian Wine Industry," Sustainability, MDPI, vol. 11(20), pages 1-14, October.
    11. Hung M. Nguyen & George Onofrei & Dothang Truong & Simon Lockrey, 2020. "Customer green orientation and process innovation alignment: A configuration approach in the global manufacturing industry," Business Strategy and the Environment, Wiley Blackwell, vol. 29(6), pages 2498-2513, September.
    12. Jui-Che Tu & Yukari Nagai & Min-Chieh Shih, 2018. "Establishing Design Strategies and an Assessment Tool of Home Appliances to Promote Sustainable Behavior for the New Poor," Sustainability, MDPI, vol. 10(5), pages 1-21, May.
    13. Golmohammadi, Amirmohsen & Kraft, Tim & Monemian, Seyedamin, 2024. "Setting the deadline and the penalty policy for a new environmental standard," European Journal of Operational Research, Elsevier, vol. 315(1), pages 88-101.
    14. Andrzej Pacana & Dominika Siwiec & Robert Ulewicz & Malgorzata Ulewicz, 2024. "A Novelty Model Employing the Quality Life Cycle Assessment (QLCA) Indicator and Frameworks for Selecting Qualitative and Environmental Aspects for Sustainable Product Development," Sustainability, MDPI, vol. 16(17), pages 1-24, September.
    15. Carolina Villamil & Sophie Hallstedt, 2021. "Sustainabilty integration in product portfolio for sustainable development: Findings from the industry," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 388-403, January.
    16. Olga Porro & Francesc Pardo-Bosch & Núria Agell & Mónica Sánchez, 2020. "Understanding Location Decisions of Energy Multinational Enterprises within the European Smart Cities’ Context: An Integrated AHP and Extended Fuzzy Linguistic TOPSIS Method," Energies, MDPI, vol. 13(10), pages 1-29, May.
    17. Meimei Xia & Zeshui Xu & Na Chen, 2013. "Some Hesitant Fuzzy Aggregation Operators with Their Application in Group Decision Making," Group Decision and Negotiation, Springer, vol. 22(2), pages 259-279, March.
    18. Liang-Hsuan Chen & Sheng-Hsing Nien, 2020. "Mathematical programming approach to formulate intuitionistic fuzzy regression model based on least absolute deviations," Fuzzy Optimization and Decision Making, Springer, vol. 19(2), pages 191-210, June.
    19. Ziyuan Tang & Hasan Dinçer, 2019. "Selecting the House-of-Quality-Based Energy Investment Policies for the Sustainable Emerging Economies," Sustainability, MDPI, vol. 11(13), pages 1-22, June.
    20. Jun Liu & Xianbin Wu & Shouzhen Zeng & Tiejun Pan, 2017. "Intuitionistic Linguistic Multiple Attribute Decision-Making with Induced Aggregation Operator and Its Application to Low Carbon Supplier Selection," IJERPH, MDPI, vol. 14(12), pages 1-12, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:10:y:2022:i:19:p:3634-:d:933547. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.