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Sustainable Improvements for Customized Platform Effectiveness in Garment Production

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This study uses sustainable development theory to analyze China’s garment industry, which has been under pressure of high energy consumption, excess capacity and environmental pollution. The purpose of this work is to explore customized platform effectiveness on fashion design and production by the integration of clothing ceo-design (CED) and clothing life cycle evaluation. By cooperation and data analyses, garment companies come into being, which provides information for the study on customized platform effectiveness. Meanwhile, this paper begins with addressing the potential problems for fashion design, production and inventory management, making a distinction between garment virtual design (GVD)and personalized garment customization (PGC) and suggesting a useful computer-aided approach for fashion design and production process. The data and information were gathered from garment companies in China. This work presents the findings from case study research into sustainable improvements for fashion design and production in the garment industry; in this way, the level of customized platform may be compared and analyzed, which is a significant growth point of sustainable improvements for this research and practice domain.
Rocznik
Strony
355--362
Opis fizyczny
Bibliogr. 32 poz.
Twórcy
autor
  • Engineering Research Center for Knitting Technology, Ministry of Education, Jiangnan University, Jiangsu, Wuxi, 214122, China
  • Engineering Research Center for Knitting Technology, Ministry of Education, Jiangnan University, Jiangsu, Wuxi, 214122, China
  • International Joint Research Laboratory for Noval Knitting Structural Materials at Jiangnan University
Bibliografia
  • [1] Yang, G., Zhang, G., Wang, H. (2015). Current state of sludge production, management, treatment and disposal in China. Water Research, 78, 60-73.
  • [2] Yong, J. Y., Klemeš, J. J., Varbanov, P. S., Huisingh, D. (2016). Cleaner energy for cleaner production: Modelling, simulation, optimisation and waste management. Journal of Cleaner Production, 111(8), 1-16.
  • [3] Wang, J., Ning, X., Ruijing, L. I., Wen, W., Yang, Z., Ruizhe, H. E., Liu, J. (2015). Pollution characteristics of aromatic hydrocarbons and ecological risk assessment of the sludge in the typical textile dyeing wastewater treatment process. Environmental Chemistry, 34(6), 1201-1208.
  • [4] Subic, A., Shabani, B., Hedayati, M., Crossin, E. (2013). Performance analysis of the capability assessment tool for sustainable manufacturing. Sustainability, 5(8), 3543-3561.
  • [5] Peterson, J., Mujanovic, M., Mattila, H. (2015). Mass customisation of flat knitted fashion products: Simulation of the co-design process. Autex Research Journal, 11(11), 6-13.
  • [6] Yuen, C. W. M., Fung, E. H. K., Wong, W. K., Hau, L. C., Chan, L. K. (2008). Application of smart system to textile industry: Preliminary design of a smart hanger for garment inspection. Journal of the Textile Institute Proceedings & Abstracts, 99(6), 569-580.
  • [7] Arun, K. N. (2012). Production planning module of erp for small scale industry. International Journal of Production Technology & Management.
  • [8] Wang, J., Lu, G., Chen, L., Geng, Y., Deng, W. (2010). Customer participating 3D garment design for mass personalization. Textile Research Journal, 81(2), 187-204.
  • [9] Alfirevic, N., Rendulic, D., Talaja, A. (2015). Application of a cloud-based supply chain management system to achieve mass customization: Best practices from the automotive industry. Monthly Notices of the Royal Astronomical Society, 206(1), 19-35.
  • [10] Meng, Z., Lu, J. (2016). A rule-based service customization strategy for smart home context-aware automation. IEEE Transactions on Mobile Computing, 15(3), 558-571.
  • [11] Chakraborty, D., Mukhopadhyay, K. (2014). Status of water pollution in India and other countries of Asia. Neurobiology of Disease, 4(s 3–4), 311.
  • [12] Gungor, M., Agac, S. (2014). Resource-constrained mixed model assembly line balancing in an apparel company. Tekstil Ve Konfeksiyon, 24(4), 405-412.
  • [13] Spahija, S., Shehi, E., Guxho, G. (2012). Evaluation of production effectiveness in garment companies through key performance indicators. Autex Research Journal, 12(2), 62-66.
  • [14] Danskin, P., Englis, B. G., Solomon, M. R., Goldsmith, M., Davey, J. (2014). Knowledge management as competitive advantage: Lessons from the textile and apparel value chain. International Journal of Surgery, 12(4), 357-360.
  • [15] Biffe, D. F., Constantin, J., Oliveira, R. S., Franchini, L. H. M., Rios, F. A., et al. (2012). Personal garment rapid design based on customer online experience. Journal of Textile Research, 33(5), 145-149.
  • [16] Mari, S. I., Lee, Y. H., Memon, M. S. (2016). Sustainable and resilient garment supply chain network design with fuzzy multi-objectives under uncertainty. Sustainability, 8(10), 1038.
  • [17] Fujii, C., Takatera, M., Kim, K. O. (2016). Effects of combinations of patternmaking methods and dress forms on garment appearance. Autex Research Journal, 7(3).
  • [18] Guo, Z. X., Wong, W. K., Guo, C. (2014). A cloud-based intelligent decision-making system for order tracking and allocation in apparel manufacturing. International Journal of Production Research, 52(4), 1100-1115.
  • [19] Meng, Y., Wang, C. C. L., Jin, X. (2012). Flexible shape control for automatic resizing of apparel products. Computer-Aided Design, 44(1), 68-76.
  • [20] Cho, Y., Komatsu, T., Inui, S., Takatera, M., Shimizu, Y. (2006). Individual pattern making using computerized draping method for clothing. Textile Research Journal, 76(8), 646-654.
  • [21] Zhong, Y. (2003). Three-dimensional technology for apparel mass customization: Part III: visualization of three dimensional garments. Journal of the Textile Institute, 94(1-2), 92-102.
  • [22] Yeung, K. W., Li, Y., Zhang, X. (2004). A 3D biomechanical human model for numerical simulation of garment–body dynamic mechanical interactions during wear. Journal of the Textile Institute Proceedings & Abstracts, 95(1-6), 59-79.
  • [23] Wang, C. C. L., Wang, Y., Yuen, M. M. F. (2005). Design automation for customized apparel products. Computer-Aided Design, 37(7), 675-691.
  • [24] Xu, B., Huang, Y., Yu, W., Chen, T. (2002). Three dimensional body scanning system for apparel mass customization. Optical Engineering, 41(7), 1475-1479.
  • [25] Lee, Y. J., Kim, J. J. (2011). A study on the drape profile analysis of the apparel textiles and 3D virtual textiles using a 3D digital clothing software. Astronomy & Astrophysics, 15(5), 222-226.
  • [26] Wang, Z., Zhang, M., Sun, H., Zhu, G. (2016). Effects of standardization and innovation on mass customization: An empirical investigation. Technovation, 48-49, 79-86.
  • [27] Fu, M. C., East, E. W. (1999). The virtual design review. Computer-Aided Civil and Infrastructure Engineering, 14(1), 25-35.
  • [28] Jakhar, S. K. (2015). Performance evaluation and a flow allocation decision model for a sustainable supply chain of an apparel industry. Journal of Cleaner Production, 87(1), 391-413.
  • [29] Hong, Y., Bruniaux, P., Zeng, X., Liu, K., Curteza, A., et al. (2017). Visual-simulation-based personalized garment block design method for physically disabled people with scoliosis (PDPS). Autex Research Journal, 18(1), 35-45.
  • [30] Uhm, T., Park, H., Park, J. I. (2015). Fully vision-based automatic human body measurement system for apparel application. Measurement, 61, 169-179.
  • [31] Lomonaco-Benzing, R., Ha-Brookshire, J. (2016). Sustainability as social contract: Textile and apparel professionals’ value conflicts within the corporate moral responsibility spectrum. Sustainability, 8(12), 1278.
  • [32] Angelis-Dimakis, A., Alexandratou, A., Balzarini, A. (2016). Value chain upgrading in a textile dyeing industry. Journal of Cleaner Production, 138, 237-247.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b530b895-32d1-4d13-bd22-39cfd7ba7e38
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