A Comprehensive Carbon Footprint Monitoring Framework for Sustainable Apparel Manufacturing
Article Sidebar
Main Article Content
This study proposes the design, implementation, and evaluation of a software-based carbon footprint monitoring system developed specifically for the apparel manufacturing industry. As one of the major contributors to global greenhouse gas (GHG) emissions, the sector faces increasing pressure to monitor and reduce its environmental impact arising from energy-intensive activities such as fabric production, dyeing, garment manufacturing, and transportation. Existing carbon monitoring approaches often depend on hardware-based systems that provide historical data but offer limited support for real-time intervention and decision-making. The proposed platform consolidates production information, energy consumption records, material utilization, and logistics data into a unified digital system. Using standardized emission factors, it continuously calculates carbon dioxide (CO₂) emissions and provides real-time visibility into environmental performance. This enables manufacturers to identify emission hotspots, implement corrective actions promptly, and improve overall sustainability outcomes. The study also examines market readiness and adoption trends for digital carbon monitoring solutions. Growing environmental regulations, sustainability reporting requirements, and increasing consumer demand for eco-friendly products have accelerated the need for effective carbon management tools. Major apparel-producing countries, including Bangladesh and China, are increasingly adopting such technologies to meet international trade expectations and sustainability commitments. Evidence from industry case studies indicates that digital monitoring systems contribute to measurable reductions in energy use and carbon emissions while supporting operational efficiency. Furthermore, the research highlights the influence of carbon taxation policies, sustainability standards, and financial incentives such as subsidies and green financing in promoting technology adoption. The findings demonstrate that real-time software-based carbon monitoring systems can generate both environmental and economic benefits, helping apparel manufacturers achieve regulatory compliance, improve competitiveness, and advance long-term sustainability goals.
Downloads
References
Anderson, K., & Jewell, J. (2020). "Evaluating carbon policies in manufacturing industries." Environmental Science and Policy.
Ahmad, S., Miskon, S., Alabdan, R., & Tlili, I. (2020). Towards sustainable textile and apparel industry: Exploring the role of business intelligence systems in the era of industry 4.0. Sustainability, 12(7), 2632.
Fletcher, K., & Grose, L. (2012). Fashion & sustainability: Design for change. Hachette UK.
Mia, R., et al. (2022). "Adoption of green technologies in Bangladesh’s garment industry." Energy for Sustainable Development.
Pachauri, R., et al. (2014). "Climate Change 2014: Mitigation of Climate Change." Intergovernmental Panel on Climate Change (IPCC).
Pan, H., et al. (2021). "Energy optimization in the textile industry through digital solutions." Renewable and Sustainable Energy Reviews.
Pan, X., Li, M., Pu, C., & Xu, H. (2021). Study on the industrial structure optimization under constraint of energy intensity. Energy & Environment, 32(1), 134-151.
Peters, G., et al. (2017). "International carbon policies and their impact on manufacturing practices." Climate Policy Journal.
Zhang, X., et al. (2020). "IoT-enabled carbon tracking in textile manufacturing." Environmental Impact Assessment Review.
Zhang, X., Zhang, X., & Cheng, L. (2026). IoT-enabled green product development under competition: the impact of digital value-added services. Annals of Operations Research, 359(1), 395-427.
Chu, W., & Chen, C. (2016). Sustainable manufacturing and green supply chain management. Springer.
Chen, Y., Zhang, J., He, Y., Liu, Z., & Pan, Y. (2025). Collaborative Analysis and Path Exploration of Atmospheric VOCs and Carbon Emissions in Textile Industry Enterprises: A Case Study of Suzhou. Atmosphere, 16(9), 1066.
Chen, N., Cai, J., Ma, Y., & Han, W. (2022). Green supply chain management under uncertainty: a review and content analysis. International Journal of Sustainable Development & World Ecology, 29(4), 349-365.
Greenhouse Gas Protocol Initiative. (2004). A corporate accounting and reporting standard (Revised Edition). World Resources Institute (WRI) and World Business Council for Sustainable Development (WBCSD).
Harsanto, B., Primiana, I., Sarasi, V., & Satyakti, Y. (2023). Sustainability innovation in the textile industry: a systematic review. Sustainability, 15(2), 1549.
Iyer, R., & Luthra, S. (2017). Energy consumption and sustainability in manufacturing. Springer.
Islam, M. M., Perry, P., & Gill, S. (2021). Mapping environmentally sustainable practices in textiles, apparel and fashion industries: a systematic literature review. Journal of Fashion Marketing and Management: An International Journal, 25(2), 331-353.
Jain, M. I. N. A. K. S. H. I. (2017). Ecological approach to reduce carbon footprint of textile industry. International Journal of Applied Home Science, 4(7/8), 623-633.
Kinoshita, M., Nakashima, H., Nakashima, M., Koga, M., Toda, H., Koiwai, K., ... & Seki, S. (2019). The reduced bactericidal activity of neutrophils as an incisive indicator of water-immersion restraint stress and impaired exercise performance in mice. Scientific Reports, 9(1), 4562.
Kinoshita, S., & Seki, Y. (2018). Smart manufacturing: Sustainability and energy management. Wiley.
Lee, D., & Lee, J. (2017). Sustainable energy and sustainable development in manufacturing industries. Elsevier.
Nakashima, M., & Harada, T. (2019). Real-time data analysis for manufacturing sustainability. Springer.
Nakashima, S., Jinnin, M., Ide, M., Kajihara, I., Igata, T., Harada, M., ... & Ihn, H. (2019). A potential significance of circ_0024169 down regulation in angiosarcoma tissue. Intractable & Rare Diseases Research, 8(2), 129-133.
Peters, G., Svanström, M., Roos, S., Sandin, G., & Zamani, B. (2015). Carbon footprints in the textile industry. In Handbook of life cycle assessment (LCA) of textiles and clothing (pp. 3-30). Woodhead Publishing.
Patel, P., & Banerjee, S. (2018). Data visualization and business intelligence. Wiley.
Raj, A., & Gupta, S. (2016). Sustainability in the textile industry: A review of practices. Springer.
Sorrell, S., & MacGill, I. (2016). Energy efficiency and carbon management. Springer.
Khanna, I., Mehra, P., & Verma, S. (2025). Balancing economic growth and environmental sustainability in G-20 countries using green innovation. Discover Sustainability, 6(1), 669.
Zhang, X., & Wang, T. (2016). Carbon emissions from land-use change and management in China between 1990 and 2010. Science Advances, 2(11), e1601063.
Zhang, J., Qian, X., & Feng, J. (2020). Review of carbon footprint assessment in textile industry. Ecofeminism and Climate Change, 1(1), 51-56.

This work is licensed under a Creative Commons Attribution 4.0 International License.
All articles published in our journal are licensed under CC-BY 4.0, which permits authors to retain copyright of their work. This license allows for unrestricted use, sharing, and reproduction of the articles, provided that proper credit is given to the original authors and the source.