Industry 4.0 and Supply Chain Management. A Study of Logistics Knapp AG in Radegund Bei Graz, Austria.
DOI:
https://doi.org/10.53819/81018102t5227Abstract
The term "Industry 4.0" refers to the use of cutting-edge digital technology in the industrial sector, particularly in the areas of production and distribution. It changes the game for logistics by improving everything from product sourcing to customer service to logistics. Real-time data gathering, predictive analytics, and efficient automation are made possible by Industry 4.0 technologies including the Internet of Things (IoT), big data analytics, artificial intelligence (AI), and robots. This integration enhances operational efficiency, supply chain visibility, and customer satisfaction. Embracing Industry 4.0 principles allows organizations to adapt to market changes, improve decision-making, and gain a competitive advantage in the rapidly evolving business landscape. The study used the descriptive research design. The target population was 8 managers of Logistics Knapp AG in Radegund Bei Graz, Austria. The study did sampling of 6 respondents that were selected from the target population of 8 managers of Logistics Knapp AG in Radegund Bei Graz, Austria. Questionnaires were used to collect the data. In conclusion, Logistics Knapp AG's adoption of Industry 4.0 principles in its supply chain management has been instrumental in achieving operational excellence. By integrating advanced digital technologies such as IoT, AI, and robotics, the company has improved efficiency, visibility, and customer satisfaction. Logistics Knapp AG's success serves as a testament to the transformative power of Industry 4.0 in revolutionizing supply chain management and positioning organizations for success in the modern business landscape. The study recommended that there should be continual investment in research and development to stay at the forefront of emerging technologies and identify innovative solutions. Strengthening data analytics capabilities and leveraging advanced algorithms to extract actionable insights for better decision-making and process optimization. Prioritizing cybersecurity measures to protect systems, data, and infrastructure, including regular updates, risk assessments, and employee training to mitigate potential threats.
Keywords: Industry 4.0, Supply Chain Management, Austria
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