[1] Zhang H, Qin S, Li R, Zou Y, Ding G (2019) Progressive modelling of feature-centred product family development. Int J Prod Res 58(12): 3701-3723. https://doi.org/10.1080/00207543.2019.1634295
[2] Gauss L, Lacerda D, Miguel P (2021) Module-based product family design: systematic literature review and meta-synthesis. J Intell Manuf 32: 265-312. https://doi.org/10.1007/s10845-020-01572-3
[3] Li Q, Luo H, Xie P, Feng X, Du R (2015) Product whole life-cycle and omni-channels data convergence oriented enterprise networks integration in a sensing environment. Comput Ind 70: 23-45. https://doi.org/10.1016/j.compind.2015.01.011
[4] Tao F, Cheng J, Qi Q, Zhang M, Zhang H, Sui F (2018) Digital twin-driven product design, manufacturing and service with big data. Int J Adv Manuf Tech 94: 3563-3576. https://doi.org/10.1007/s00170-017-0233-1
[5] Forbes H, Schaefer D (2018) Crowdsourcing in product development: current state and future research directions. The 15th International Design Conference Dubrovnik, Croatia, pp 579-588. https://doi.org/10.21278/idc.2018.0161
[6] Jiao Y, Wu Y, Lu S (2021) The role of crowdsourcing in product design: the moderating effect of user expertise and network connectivity. Technol Soc 64: 101496. https://doi.org/10.1016/j.techsoc.2020.101496
[7] Niu X, Qin S, Zhang H, Wang M, Wong R (2018) Exploring product design quality control and assurance under both traditional and crowdsourcing-based design environments. Adv Mech Eng 10 (12). https://doi.org/10.1177/1687814018814395
[8] Florian D, Kucherbaev P, Cappiello C, Benatallah B, Allahbakhsh M (2018) Quality control in crowdsourcing: a survey of quality attributes, assessment techniques, and assurance actions. ACM Comput Surv 51 (1):1-40. https://doi.org/10.1145/3148148
[9] Schleich B, Anwer N, Mathieu L, Wartzack S (2017) Shaping the digital twin for design and production engineering. CIRP Ann 66 (1):141-144. https://doi.org/10.1016/j.cirp.2017.04.040
[10] Raj P (2021) Empowering digital twins with blockchain. Adv Comput 121: 267-283. https://doi.org/ 10.1016/bs.adcom.2020.08.013
[11] Roy R, Mishra D, Pal S, Chakravarty T, Panda S, Chandra M, Pal A, Misra P, Chakravarty D, Misra S (2020) Digital twin: Current scenario and a case study on a manufacturing process. Int J Adv Manuf Tech 107:3691–3714. https://doi.org/10.1007/s00170-020-05306-w
[12] Tao F, Zhang H, Liu A, Nee A (2018) Digital twin in industry: state-of-the-art. IEEE Trans Ind Inform 15 (4):2405-2415. https://doi.org/10.1109/TII.2018.2873186
[13] Jones D, Snider C, Kent L, Hicks B (2019) Early stage digital twins for early stage engineering design. International Conference on Engineering Design Delft, Netherlands, pp 2557-2566. https://doi.org/10.1017/dsi.2019.262
[14] Lim K, Zheng P, Chen C, Huang L (2020) A digital twin-enhanced system for engineering product family design and optimization. J Manuf Syst 57: 82-93. https://doi.org/10.1016/j.jmsy.2020.08.011
[15] Sudarsan R, Fenves SJ, Sriram RD, Wang F (2005) A product information modeling framework for product lifecycle management. Comput Aided Des 37 (13):1399-1411. https://doi.org/10.1016/j.cad.2005.02.010
[16] Tao F, Sui F, Liu A, Qi Q, Zhang M, Song B, Guo Z, Lu S, Nee A (2019) Digital twin-driven product design framework. Int J Prod Res 57 (12):3935-3953. https://doi.org/10.1080/00207543.2018.1443229
[17] Choi J, Dyke S (2020) CrowdLIM: Crowdsourcing to enable lifecycle infrastructure management. Comput Ind 115:103185. https://doi.org/10.1016/j.compind.2019.103185
[18] Kerin M, Pham D (2019) A review of emerging industry 4.0 technologies in remanufacturing. J Clean Prod, 237: 117805. https://doi.org/10.1016/j.jclepro.2019.117805
[19] Kong T, Hu T, Zhou T, Ye Y (2021) Data construction method for the applications of workshop digital twin system. J Manuf Syst 58: 323-328. https://doi.org/10.1016/j.jmsy.2020.02.003
[20] Jauregui-Becker J, Wits W (2013) An information model for product development: a case study at PHILIPS Shavers. Procedia CIRP 9:97-102. https://doi.org/10.1016/j.procir.2013.06.175
[21] Li Z, Ramani K (2007) Ontology-based design information extraction and retrieval. Artif Intell Eng Des Anal Manuf 21(2): 137-154. https://doi.org/10.1017/S0890060407070199
[22] Li Z, Zhou X, Wang W, Huang G, Tian Z, Huang S (2018) An ontology-based product design framework for manufacturability verification and knowledge reuse. Int J Adv Manuf Tech 99(9-12): 2121-2135. https://doi.org/10.1007/s00170-018-2099-2
[23] Song X, Chai X, Zhang L, Gong G (2010) Modeling framework for product lifecycle information. Simul Model Pract Th 18(8): 1080-1091. https://doi.org/10.1016/j.simpat.2009.07.004
[24] Wright I (1998) Design methods in engineering and product design. McGraw-Hill
[25] Zhu Y, Alard R, You J, Schönsleben P (2011) Collaboration in the design-manufacturing chain: a key to improve product quality. In: Renko S (ed) Supply Chain Management-New Perspectives, IntechOpen. https://doi.org/10.5772/799
[26] Benabdellah A, Bouhaddou I, Benghabrit A, Benghabrit O (2019) A systematic review of design for X techniques from 1980 to 2018: concepts, applications, and perspectives. Int J Adv Manuf Tech 102 (9-12):3473-3502. https://doi.org/10.1007/s00170-019-03418-6
[27] Liu D, Xu X (2001) A review of web-based product data management systems. Comput Ind 44 (3):251-262. https://doi.org/10.1016/S0166-3615(01)00072-0
[28] Lee C, Leem C, Hwang I (2011) PDM and ERP integration methodology using digital manufacturing to support global manufacturing. Int J Adv Manuf Tech 53 (1-4):399-409. https://doi.org/10.1007/s00170-010-2833-x
[29] Chodorow K (2013) MongoDB: the definitive guide: powerful and scalable data storage. O'Reilly Media Inc.
[30] Pfeifer M (2009) The materials engineering perspective to product design and manufacturing. In: Pfeifer M (ed) Materials enabled designs, 1st edn. Butterworth-Heinemann. https://doi.org/10.1016/B978-0-7506-8287-9.X0001-8
[31] Johnson A, Gibson A (2014) The tools of the design process and management of design. In: Johnson A, Gibson A (ed) Sustainability in engineering design, Academic Press, pp 113-180. https://doi.org/10.1016/B978-0-08-099369-0.00004-2
[32] Sanfilippo E, Borgo S (2016) What are features? An ontology-based review of the literature. Comput Aided Des 80:9-18. https://doi.org/10.1016/j.cad.2016.07.001
[33] Eckert C, Wynn D, Maier J, Albers A, Bursac N, Xin C, Clarkson P, Gericke K, Gladysz B, Shapiro D (2017) On the integration of product and process models in engineering design. Des Sci 3. https://doi.org/10.1017/dsj.2017.2
[34] Lee Y (1999) Information modeling: From design to implementation. The second world manufacturing congress: International Computer Science Conventions Durham, UK, pp 315-321.
[35] Rachuri S, Subrahmanian E, Bouras A, Fenves S, Foufou S, Sriram R (2008) Information sharing and exchange in the context of product lifecycle management: Role of standards. Comput Aided Des 40 (7):789-800. https://doi.org/10.1016/j.cad.2007.06.012
[36] Loos L, Verbeeck K, Laet L (2019) Data visualisation as a tool for informed structural design. Comput Aided Des 115:267-276. https://doi.org/10.1016/j.cad.2019.06.003
[37] Kolich M (2014) Using failure mode and effects analysis to design a comfortable automotive driver seat. Appl Ergon 45(4): 1087-1096. https://doi.org/10.1016/j.apergo.2014.01.007
[38] Li J, Tao F, Cheng Y, Zhao L (2015) Big data in product lifecycle management. Int J Adv Manuf Tech 81: 667-684. https://doi.org/10.1007/s00170-015-7151-x
[39] Rajamani M, Punna E (2019) A framework for effective implementation of process failure modes and effects analysis with control plans to mitigate process, discrete manufacturing and service industries, using aerospace standard best practices. SAE Tech Pap pp 1-9. https://doi.org/10.4271/2019-28-0149
[40] Wynn D, Clarkson P (2018) Process models in design and development. Res Eng Des 29 (2):161-202. https://doi.org/10.1007/s00163-017-0262-7
[41] CeArley D, Burke B, Searle S, Walker M (2016) Top 10 strategic technology trends for 2018. https://www.gartner.com/en/doc/3811368-top-10-strategic-technology-trends-for-2018, accessed 2020.
[42] Jiang H, Qin S, Fu J, Zhang J, Ding G (2021) How to model and implement connections between physical and virtual models for digital twin application. J Manuf Syst 58: 36-51. https://doi.org/10.1016/j.jmsy.2020.05.012
[43] Rasheed A, San O, Kvamsdal T (2020) Digital twin: Values, challenges and enablers from a modeling perspective. IEEE Access 8: 21980-22012. https://doi.org/ 10.1109/ACCESS.2020.2970143
[44] Reyna A, Martín C, Chen J, Soler E, Díaz M (2018) On blockchain and its integration with IoT: Challenges and opportunities. Future Gener Comput Syst 88: 173-190. https://doi.org/10.1016/j.future.2018.05.046
[45] Bhatti S, Gao X, Chen G (2020) General framework, opportunities and challenges for crowdsourcing techniques: a Comprehensive survey. J Syst Softw 167:110611. https://doi.org/10.1016/j.jss.2020.110611
[46] Hetmank L (2013) Components and functions of crowdsourcing systems - a systematic literature review. The 11th International Conference on Wirtschaftsinformatik Leipzig, Germany, pp 55-69. https://doi.org/10.13140/2.1.3836.4166
[47] Prince J (2014) An investigation into bicycle performance and design. Dissertation, Auckland University of Technology.
[48] Hadland T, Lessing H, Clayton N, Sanderson G (2014) Bicycle design: an illustrated history. The Mit Press, London.
[49] Wang J, Huang J, Dunford M (2019) Rethinking the utility of public bicycles: the development and challenges of station-less bike sharing in China. Sustainability 11 (6):1539. https://doi.org/10.3390/su11061539
[50] Yang T, Li Y, Zhou S (2019) System dynamics modeling of dockless bike-sharing program operations: a case study of mobike in Beijing, China. Sustainability 11 (6): 1601. https://doi.org/10.3390/su11061601
[51] Chen Z, Lierop D, Ettema D (2020) Dockless bike-sharing systems: what are the implications? Transp Rev 40 (3):333-353. https://doi.org/10.1080/01441647.2019.1710306
[52] Terry H (2015) Object-role modeling fundamentals: a practical guide to data modeling with ORM. Technics Publications, UK
[53] Goldschmidt G (2004) Design representation: private process, public image. In: Goldschmidt G, Porter W (ed) Design representation. Springer, London. https://doi.org/10.1007/978-1-85233-863-3_9
[54] Riesener M, Schuh G, Dölle C, Tönnesa C (2019) The digital shadow as enabler for data analytics in product life cycle management. Procedia CIRP 80: 729-734. https://doi.org/10.1016/j.procir.2019.01.083
[55] Suh N (1995) Axiomatic design of mechanical systems. J Mech Des 117(B): 2-10. https://doi.org/10.1115/1.2836467