Dynamic modeling for product family evolution combined with artificial neural network based forecasting model: A study of iPhone evolution
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DOI: 10.1016/j.techfore.2022.121549
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- Liu, Heng & Özer, Özalp, 2009. "Managing a product family under stochastic technological changes," International Journal of Production Economics, Elsevier, vol. 122(2), pages 567-580, December.
- Egidijus Rytas Vaidogas & Jurgita Šakėnaitė, 2015. "Solving the Problem of Multiple-Criteria Building Design Decisions with respect to the Fire Safety of Occupants: An Approach Based on Probabilistic Modelling," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-18, August.
- Runliang Dou & Yubo Zhang & Guofang Nan, 2017. "Iterative product design through group opinion evolution," International Journal of Production Research, Taylor & Francis Journals, vol. 55(13), pages 3886-3905, July.
- Filippi, S. & Barattin, D., 2014. "Definition and exploitation of trends of evolution about interaction," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 216-236.
- Zhang, Guoqiang & Eddy Patuwo, B. & Y. Hu, Michael, 1998. "Forecasting with artificial neural networks:: The state of the art," International Journal of Forecasting, Elsevier, vol. 14(1), pages 35-62, March.
- Haizhu Zhang & Shengfeng Qin & Rong Li & Yisheng Zou & Guofu Ding, 2020. "Progressive modelling of feature-centred product family development," International Journal of Production Research, Taylor & Francis Journals, vol. 58(12), pages 3701-3723, June.
- Lee, Hakyeon & Kim, Sang Gook & Park, Hyun-woo & Kang, Pilsung, 2014. "Pre-launch new product demand forecasting using the Bass model: A statistical and machine learning-based approach," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 49-64.
- Fu-ying Zhang & Yan-shen Xu, 2007. "Research on technical strategy for new product development based on TRIZ evolution theory," International Journal of Product Development, Inderscience Enterprises Ltd, vol. 4(1/2), pages 96-108.
- Meyer, Marc H. & Utterback, James M., 1941-, 1992. "The product family and the dynamics of core capability," Working papers #77-92. Working paper (Sl, Massachusetts Institute of Technology (MIT), Sloan School of Management.
- Johnna Montgomerie & Samuel Roscoe, 2013. "Owning the consumer—Getting to the core of the Apple business model," Accounting Forum, Taylor & Francis Journals, vol. 37(4), pages 290-299, December.
- Golmohammadi, Davood, 2011. "Neural network application for fuzzy multi-criteria decision making problems," International Journal of Production Economics, Elsevier, vol. 131(2), pages 490-504, June.
- Montgomerie, Johnna & Roscoe, Samuel, 2013. "Owning the consumer—Getting to the core of the Apple business model," Accounting forum, Elsevier, vol. 37(4), pages 290-299.
- Yoon, Byungun & Park, Inchae & Coh, Byoung-youl, 2014. "Exploring technological opportunities by linking technology and products: Application of morphology analysis and text mining," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 287-303.
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- Zhao, Zichao & Li, Dexuan & Dai, Wensheng, 2023. "Machine-learning-enabled intelligence computing for crisis management in small and medium-sized enterprises (SMEs)," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
- Yogesh K. Dwivedi & A. Sharma & Nripendra P. Rana & M. Giannakis & P. Goel & Vincent Dutot, 2023. "Evolution of Artificial Intelligence Research in Technological Forecasting and Social Change: Research Topics, Trends, and Future Directions," Post-Print hal-04292607, HAL.
- Kraus, Sascha & Kumar, Satish & Lim, Weng Marc & Kaur, Jaspreet & Sharma, Anuj & Schiavone, Francesco, 2023. "From moon landing to metaverse: Tracing the evolution of Technological Forecasting and Social Change," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
- Wenbin Zhou & Xuhui Xia & Lei Wang & Zelin Zhang & Baotong Chen, 2022. "A Product Evolution Rules Based Method for Retired Mechanical Product Demand Acquisition," Sustainability, MDPI, vol. 14(23), pages 1-17, November.
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Keywords
Product family evolution; Dynamic model; Neural network; Forecasting model; Grey relational analysis; Fuzzy analytical hierarchy process;All these keywords.
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