Abstract
With the integration and advancement of new generation information technology and manufacturing processes, big data in manufacturing presents solutions for transforming manufacturing model today. In order to mine the hidden knowledge value and potential capabilities of big data and facilitate the intelligent decision-making of business managers in complex dynamic manufacturing environments, a comprehensive study of intelligent manufacturing management driven by big data technologies was hereby carried out. Firstly, sources and characteristics of big data in the workshop were explored, providing an overview of the enabled big data technology including data collection, transmission, storage, computation, processing, visualization, and big data mining algorithms. Then, big data application scenarios were reviewed using the intelligent manufacturing workshop as the research context, and applications of big data in furniture workshops were discussed from four major aspects, job shop scheduling, quality control, prediction maintenance, energy management, and supply chain planning. Afterwards, data challenges for furniture intelligent manufacturing in the workshop were clarified, and a conceptual framework for furniture intelligent manufacturing was finally proposed based on big data technologies. Overall, the present research offers valuable insights and ideas for furniture workshops and future research directions.
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This work is financially supported in part by the National Key R&D Program of China (2023YFD2201501) and Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX23_1198).
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Yue, X., Xiong, X., Xu, X. et al. Big data for furniture intelligent manufacturing: conceptual framework, technologies, applications, and challenges. Int J Adv Manuf Technol (2024). https://doi.org/10.1007/s00170-024-13719-0
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DOI: https://doi.org/10.1007/s00170-024-13719-0