Supply Chain Efficiency Of Clothing Brand Company
Majumdar, Kumarjit (2024)
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024120332570
https://urn.fi/URN:NBN:fi:amk-2024120332570
Tiivistelmä
The clothing industry operates in a dynamic environment characterized by rapid fashion trends, global sourcing, and seasonal demand fluctuations, making supply chain efficiency critical for maintaining com-petitive advantage. This study investigates how supply chain efficiency can enhance the performance of clothing brand companies through technological innovation, sustainability, and strategic management practices.
The research employed a qualitative methodology, conducting semi-structured interviews with supply chain professionals in the clothing industry. Using Qualitative Content Analysis (QCA), the study identified key challenges, including demand unpredictability, supplier reliability issues, logistical bottlenecks, and communication gaps across supply chain functions.
The findings highlight the transformative role of technology, such as Artificial Intelligence (AI), Blockchain, and the Internet of Things (IoT). AI enables precise demand forecasting, reducing overstocking and stockouts, while Blockchain ensures transparency and ethical practices in global supply chains. IoT facili-tates real-time inventory tracking and enhanced operational visibility. However, the integration of these technologies poses challenges, particularly for smaller brands with limited resources.
Sustainability has emerged as a critical factor, with companies adopting green and circular economy prac-tices to align with evolving consumer preferences. Strategies like lean management, cross-functional col-laboration, and supplier relationship development were identified as essential for optimizing supply chain efficiency.
This research provides practical insights for managers to implement innovative technologies, foster col-laboration, and prioritize sustainability in supply chain strategies. It also emphasizes the need for future research on affordable solutions for SMEs and resilient supply chain designs to navigate global disrup-tions.
The research employed a qualitative methodology, conducting semi-structured interviews with supply chain professionals in the clothing industry. Using Qualitative Content Analysis (QCA), the study identified key challenges, including demand unpredictability, supplier reliability issues, logistical bottlenecks, and communication gaps across supply chain functions.
The findings highlight the transformative role of technology, such as Artificial Intelligence (AI), Blockchain, and the Internet of Things (IoT). AI enables precise demand forecasting, reducing overstocking and stockouts, while Blockchain ensures transparency and ethical practices in global supply chains. IoT facili-tates real-time inventory tracking and enhanced operational visibility. However, the integration of these technologies poses challenges, particularly for smaller brands with limited resources.
Sustainability has emerged as a critical factor, with companies adopting green and circular economy prac-tices to align with evolving consumer preferences. Strategies like lean management, cross-functional col-laboration, and supplier relationship development were identified as essential for optimizing supply chain efficiency.
This research provides practical insights for managers to implement innovative technologies, foster col-laboration, and prioritize sustainability in supply chain strategies. It also emphasizes the need for future research on affordable solutions for SMEs and resilient supply chain designs to navigate global disrup-tions.