IDEAS home Printed from https://ideas.repec.org/a/spr/joinma/v31y2020i3d10.1007_s10845-019-01463-2.html
   My bibliography  Save this article

Data-informed inverse design by product usage information: a review, framework and outlook

Author

Listed:
  • Liang Hou

    (Xiamen University
    Georgia Institute of Technology)

  • Roger J. Jiao

    (Georgia Institute of Technology)

Abstract

A significant body of knowledge exists on inverse problems and extensive research has been conducted on data-driven design in the past decade. This paper provides a comprehensive review of the state-of-the-art methods and practice reported in the literature dealing with many different aspects of data-informed inverse design. By reviewing the origins and common practice of inverse problems in engineering design, the paper presents a closed-loop decision framework of product usage data-informed inverse design. Specifically reviewed areas of focus include data-informed inverse requirement analysis by user generated content, data-informed inverse conceptual design for product innovation, data-informed inverse embodiment design for product families and product platforming, data-informed inverse analysis and optimization in detailed design, along with prevailing techniques for product usage data collection and analytics. The paper also discusses the challenges of data-informed inverse design and the prospects for future research.

Suggested Citation

  • Liang Hou & Roger J. Jiao, 2020. "Data-informed inverse design by product usage information: a review, framework and outlook," Journal of Intelligent Manufacturing, Springer, vol. 31(3), pages 529-552, March.
    • Handle: RePEc:spr:joinma:v:31:y:2020:i:3:d:10.1007_s10845-019-01463-2
    DOI: 10.1007/s10845-019-01463-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10845-019-01463-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10845-019-01463-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yung-Chin Tsao & Pochuan Chen, 2017. "Design for product experience: a study on the analepsis construction of product use," Journal of Intelligent Manufacturing, Springer, vol. 28(7), pages 1645-1666, October.
    2. Fang Wang & Hua Li & Aijun Liu, 2018. "A novel method for determining the key customer requirements and innovation goals in customer collaborative product innovation," Journal of Intelligent Manufacturing, Springer, vol. 29(1), pages 211-225, January.
    3. G. M.P. Swann, 2009. "The Economics of Innovation," Books, Edward Elgar Publishing, number 13211.
    4. Homam Issa & Egon Ostrosi & Michel Lenczner & Rabie Habib, 2017. "Fuzzy holons for intelligent multi-scale design in cloud-based design for configurations," Journal of Intelligent Manufacturing, Springer, vol. 28(5), pages 1219-1247, June.
    5. Guodong Shao & Alexander Brodsky & Seung-Jun Shin & Duck Bong Kim, 2017. "Decision guidance methodology for sustainable manufacturing using process analytics formalism," Journal of Intelligent Manufacturing, Springer, vol. 28(2), pages 455-472, February.
    6. Kuo-Ming Tsai & Hao-Jhih Luo, 2017. "An inverse model for injection molding of optical lens using artificial neural network coupled with genetic algorithm," Journal of Intelligent Manufacturing, Springer, vol. 28(2), pages 473-487, February.
    7. S. H. R. Torabi & S. Alibabaei & B. Barooghi Bonab & M. H. Sadeghi & Gh. Faraji, 2017. "Design and optimization of turbine blade preform forging using RSM and NSGA II," Journal of Intelligent Manufacturing, Springer, vol. 28(6), pages 1409-1419, August.
    8. Kyung Hoon Hyun & Ji-Hyun Lee & Minki Kim, 2017. "The gap between design intent and user response: identifying typical and novel car design elements among car brands for evaluating visual significance," Journal of Intelligent Manufacturing, Springer, vol. 28(7), pages 1729-1741, October.
    9. Chun-Che Huang & Wen-Yau Liang & Shan-Ru Yi, 2017. "Cloud-based design for disassembly to create environmentally friendly products," Journal of Intelligent Manufacturing, Springer, vol. 28(5), pages 1203-1218, June.
    10. M. Thürer & Y. H. Pan & T. Qu & H. Luo & C. D. Li & G. Q. Huang, 2019. "Internet of Things (IoT) driven kanban system for reverse logistics: solid waste collection," Journal of Intelligent Manufacturing, Springer, vol. 30(7), pages 2621-2630, October.
    11. Roger J. Jiao & Feng Zhou & Chih-Hsing Chu, 2017. "Decision theoretic modeling of affective and cognitive needs for product experience engineering: key issues and a conceptual framework," Journal of Intelligent Manufacturing, Springer, vol. 28(7), pages 1755-1767, October.
    12. Long Nguyen-Tuan & Carsten Koenke & Volker Bettzieche & Tom Lahmer, 2018. "Uncertainty assessment in the results of inverse problems: applied to damage detection in masonry dams," International Journal of Reliability and Safety, Inderscience Enterprises Ltd, vol. 12(1/2), pages 2-23.
    13. Wei, Quanling & Zhang, Jianzhong & Zhang, Xiangsun, 2000. "An inverse DEA model for inputs/outputs estimate," European Journal of Operational Research, Elsevier, vol. 121(1), pages 151-163, February.
    14. Kusiak, Andrew, 2009. "Innovation: A data-driven approach," International Journal of Production Economics, Elsevier, vol. 122(1), pages 440-448, November.
    15. Cheng-Hung Lo & Chih-Hsing Chu & Hideyoshi Yanagisawa & Jianxin (Roger) Jiao, 2017. "Editorial: Scientific advances in product experience engineering," Journal of Intelligent Manufacturing, Springer, vol. 28(7), pages 1581-1584, October.
    16. Jian Jin & Ying Liu & Ping Ji & Hongguang Liu, 2016. "Understanding big consumer opinion data for market-driven product design," International Journal of Production Research, Taylor & Francis Journals, vol. 54(10), pages 3019-3041, May.
    17. Chie-Hyeon Lim & Min-Jun Kim & Jun-Yeon Heo & Kwang-Jae Kim, 2018. "Design of informatics-based services in manufacturing industries: case studies using large vehicle-related databases," Journal of Intelligent Manufacturing, Springer, vol. 29(3), pages 497-508, March.
    18. Chiuhsiang Joe Lin & Lai-Yu Cheng, 2017. "Product attributes and user experience design: how to convey product information through user-centered service," Journal of Intelligent Manufacturing, Springer, vol. 28(7), pages 1743-1754, October.
    19. Joohyung Lim & Sungchul Choi & Chiehyeon Lim & Kwangsoo Kim, 2017. "SAO-Based Semantic Mining of Patents for Semi-Automatic Construction of a Customer Job Map," Sustainability, MDPI, vol. 9(8), pages 1-17, August.
    20. Francesco Ferrise & Serena Graziosi & Monica Bordegoni, 2017. "Prototyping strategies for multisensory product experience engineering," Journal of Intelligent Manufacturing, Springer, vol. 28(7), pages 1695-1707, October.
    21. Yao Jiao & Yu Yang, 2019. "A product configuration approach based on online data," Journal of Intelligent Manufacturing, Springer, vol. 30(6), pages 2473-2487, August.
    22. Pierre-Antoine Arrighi & Céline Mougenot, 2019. "Towards user empowerment in product design: a mixed reality tool for interactive virtual prototyping," Journal of Intelligent Manufacturing, Springer, vol. 30(2), pages 743-754, February.
    23. Xiao Fang & Paul Jen-Hwa Hu & Zhepeng (Lionel) Li & Weiyu Tsai, 2013. "Predicting Adoption Probabilities in Social Networks," Information Systems Research, INFORMS, vol. 24(1), pages 128-145, March.
    24. Lim, Dong-Joon, 2016. "Inverse DEA with frontier changes for new product target setting," European Journal of Operational Research, Elsevier, vol. 254(2), pages 510-516.
    25. D. Wu & L. Zhang & J. Jiao & R. Lu, 2013. "SysML-based design chain information modeling for variety management in production reconfiguration," Post-Print hal-00846436, HAL.
    26. Yanhua Du & Ze Yu & Benyuan Yang & Yang Wang, 2019. "Modeling and simulation of time and value throughputs of data-aware workflow processes," Journal of Intelligent Manufacturing, Springer, vol. 30(6), pages 2355-2373, August.
    27. Xiang T. R. Kong & Hao Luo & George Q. Huang & Xuan Yang, 2019. "Industrial wearable system: the human-centric empowering technology in Industry 4.0," Journal of Intelligent Manufacturing, Springer, vol. 30(8), pages 2853-2869, December.
    28. Pierre-Antoine Arrighi & Céline Mougenot, 2019. "Erratum to: Towards user empowerment in product design: a mixed reality tool for interactive virtual prototyping," Journal of Intelligent Manufacturing, Springer, vol. 30(2), pages 755-755, February.
    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. Melina Panzner & Sebastian Enzberg & Maurice Meyer & Roman Dumitrescu, 2024. "Characterization of Usage Data with the Help of Data Classifications," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 88-109, March.
    2. Iñigo Flores Ituarte & Suraj Panicker & Hari P. N. Nagarajan & Eric Coatanea & David W. Rosen, 2023. "Optimisation-driven design to explore and exploit the process–structure–property–performance linkages in digital manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 34(1), pages 219-241, 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. Pai Zheng & Xun Xu & Chun-Hsien Chen, 2020. "A data-driven cyber-physical approach for personalised smart, connected product co-development in a cloud-based environment," Journal of Intelligent Manufacturing, Springer, vol. 31(1), pages 3-18, January.
    2. Nazanin Hosseini Arian & Alireza Pooya & Fariborz Rahimnia & Ali Sibevei, 2021. "Assessment the effect of rapid prototyping implementation on supply chain sustainability: a system dynamics approach," Operations Management Research, Springer, vol. 14(3), pages 467-493, December.
    3. Ghiyasi, Mojtaba & Soltanifar, Mehdi & Sharafi, Hamid, 2022. "A novel inverse DEA-R model with application in hospital efficiency," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    4. Sabri Boubaker & T.D.Q. Le & T. Ngo, 2023. "Managing Bank Performance under COVID-19: A Novel Inverse DEA Efficiency Approach," Post-Print hal-04435441, HAL.
    5. Hong-Sen Yan & Wen-Chao Li, 2017. "A multi-objective scheduling algorithm with self-evolutionary feature for job-shop-like knowledgeable manufacturing cell," Journal of Intelligent Manufacturing, Springer, vol. 28(2), pages 337-351, February.
    6. Jing Liu & Qiqi Zhi & Haipeng Ji & Bolong Li & Siyuan Lei, 2021. "Wheel hub customization with an interactive artificial immune algorithm," Journal of Intelligent Manufacturing, Springer, vol. 32(5), pages 1305-1322, June.
    7. Andreas Dellnitz & Andreas Kleine & Wilhelm Rödder, 2018. "CCR or BCC: what if we are in the wrong model?," Journal of Business Economics, Springer, vol. 88(7), pages 831-850, September.
    8. Le, Minh Hanh & Afsharian, Mohsen & Ahn, Heinz, 2021. "Inverse Frontier-based Benchmarking for Investigating the Efficiency and Achieving the Targets in the Vietnamese Education System," Omega, Elsevier, vol. 103(C).
    9. Zhang, Jingxiao & Jin, Weixing & Yang, Guo-liang & Li, Hui & Ke, Yongjian & Philbin, Simon Patrick, 2021. "Optimizing regional allocation of CO2 emissions considering output under overall efficiency," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    10. Adriana Andrea Amaya & Ying-Kai Liao & Sixto Chang, 2019. "The Effects Of Innovation Implementation And Speed To Market On The Relationship Between Team Sense-Making, Trust, And Npd Success," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 23(04), pages 1-29, May.
    11. Xiaoyin Hu & Jianshu Li & Xiaoya Li & Jinchuan Cui, 2020. "A Revised Inverse Data Envelopment Analysis Model Based on Radial Models," Mathematics, MDPI, vol. 8(5), pages 1-17, May.
    12. Gholam R. Amin & Mustapha Ibn Boamah, 2020. "A new inverse DEA cost efficiency model for estimating potential merger gains: a case of Canadian banks," Annals of Operations Research, Springer, vol. 295(1), pages 21-36, December.
    13. Moghaddas, Zohreh & Tosarkani, Babak Mohamadpour & Yousefi, Samuel, 2022. "Resource reallocation for improving sustainable supply chain performance: An inverse data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 252(C).
    14. Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2017. "A multidisciplinary perspective of big data in management research," International Journal of Production Economics, Elsevier, vol. 191(C), pages 97-112.
    15. Mohammad Khoveyni & Robabeh Eslami, 2022. "Merging two-stage series network structures: A DEA-based approach," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(1), pages 273-302, March.
    16. Gholam R. Amin & Ali Emrouznejad & Said Gattoufi, 2017. "Modelling generalized firms’ restructuring using inverse DEA," Journal of Productivity Analysis, Springer, vol. 48(1), pages 51-61, August.
    17. Frank R. Lichtenberg, 2014. "Has Medical Innovation Reduced Cancer Mortality?," CESifo Economic Studies, CESifo Group, vol. 60(1), pages 135-177.
    18. Francesco Bogliacino & Mario Pianta, 2016. "The Pavitt Taxonomy, revisited: patterns of innovation in manufacturing and services," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 33(2), pages 153-180, August.
    19. Cowling, Marc & Ughetto, Elisa & Lee, Neil, 2018. "The innovation debt penalty: Cost of debt, loan default, and the effects of a public loan guarantee on high-tech firms," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 166-176.
    20. Alhassan Abdul-Wakeel Karakara & Evans Osabuohien, 2020. "ICT adoption, competition and innovation of informal firms in West Africa: a comparative study of Ghana and Nigeria," Journal of Enterprising Communities: People and Places in the Global Economy, Emerald Group Publishing Limited, vol. 14(3), pages 397-414, June.

    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:spr:joinma:v:31:y:2020:i:3:d:10.1007_s10845-019-01463-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.