Machine vision technology was integrated into the manufacturing workshop, to achieve an effective and high-quality production mode for furniture manufacturing. Machine vision can be used for information collecting, quality detecting, positioning, automatic sorting, intelligent monitoring, etc., which largely make up for the shortcomings of poor quality, low precision, low efficiency, and high labour intensity of manual operation. By Li Rongrong, Zhao Shuchang and Yang Bokai, Nanjing Forestry University
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With the lifestyle change, users’ demand for furniture has shown a trend for personalisation and diversification. The customised furniture market is growing rapidly and gradually becoming an indispensable choice for lifestyle items. The present qualitative study sought to identify the influencing factors and relationships of user demand for customised furniture. By Zhou Chengmin, Gu Wenhui and Luo Xin, Nanjing Forestry University, and Jake Kaner, Nottingham Trent University
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The furniture industry is a non-oil and gas sector that can be developed aggressively due to the abundant natural resources provided by Indonesia's forests. However, there are several issues in the wooden furniture industry, starting on the upstream supply chain, especially in the raw material procurement process. The increasing product cost because of high procurement costs could make this industry hard to compete or grow. A collaborative procurement model could reduce the total circular procurement cost by 25-35 percent. By Chaterine Alvina Prima Hapsari, Purnawan Adi Wicaksono, Wiwik Budiawan, Diana Puspita Sari and Atheea Annisa Rahma, Diponegoro University, and Dominico Laksma Paramestha, Universitas Atma Jaya Yogyakarta
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When producing items in large quantities, pointing out the exact time when the element needs to be exchanged is crucial especially in furniture industry. Continuing production with a worn tool might result in a poor-quality product and financial loss for the manufacturer. By Jaros?aw Kurek, Artur Krupa, Izabella Antoniuk, Arlan Akhmet, Ulan Abdiomar, Micha? Bukowski and Karol Szymanowski, Warsaw University of Life Sciences
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Industry 4.0 presents huge opportunities for the realisation of sustainable production, but also many risks if companies do not respond adequately to modern trends. A new direction, Industry 5.0, is emerging, which promotes symbiosis of man with new technologies. The question is, therefore, whether it is possible to skip Industry 4.0 in the development line, or whether it is just a ‘novelty’ that existed. By Lubos Cerveny, Roman Sloup, Tereza Cervena, Marcel Riedl and Petra Palatova, Czech University of Life Sciences Prague
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To solve the problem of pure perceptual and non-standardized selection of colour in furniture, a rational and reliable colour quantitative system was developed. This approach is beneficial to the upgrading and optimization of products by furniture manufacturing enterprises. By Zhou Chengmin, Li Zhenyu and Leng Chaoxin, Nanjing Forestry University, and Jake Kaner, Nottingham Trent University
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With the gradual deepening of the combination of 3D printing technology and the furniture manufacturing industry, the production of 3D printed furniture has begun to transition from experimental single furniture production to small batch furniture production, which will profoundly affect the manufacturing mode change of the furniture manufacturing industry in the future. By Yang Shuguang, Xuzhou Institute of Engineering, and Du Peng, Guangdong University of Foreign Studies
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In the era of big data, the furniture manufacturing industry takes digitization and intelligence as its core, and its servitisation degree is constantly improving. Developed countries are in the leading position in the process of servitisation strategy, and the servitisation level among countries is gradually converging. Furniture manufacturing industry does not show a servitisation dilemma, and servitisation has a positive impact on industry performance and total factor productivity. By Song Lin Shu, Wang Hao, Song Weiming and Yang Chao, Beijing Forestry University
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Asia is home to a robust manufacturing landscape, with a diverse mix of small-, medium- and large-sized factories. HOMAG offers insights on common challenges faced by manufacturers, the need for automation and the emerging trends that are shaping the woodworking industry.
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Cutting, as the most widely used machining process, is applied in both primary and secondary wood processing. Optimum cutting conditions that result in the high quality of the machined surface and low energy consumption are crucial for wood processing. The effects of the feed speed, cutting speed and average chip thickness on the energy consumption and surface temperature of a circular saw blade during the cutting process of plywood will be described in this paper. By Jozef Fekiač, Ján Svoreň, Jozef Gáborík and Miroslav Němec, Technical University in Zvolen
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