The biopharmaceutical industry, as a national strategic emerging industry, its development level is directly related to national health and the future of the pharmaceutical industry. As an important part of the core competitiveness of biopharmaceutical enterprises, the innovation and practice of the production support system is of great significance to enhance the production efficiency of the enterprise, reduce costs, and guarantee product quality. This paper will discuss the construction and implementation of production support system in the biopharmaceutical industry from the perspective of innovation.
With the biotechnology advancement of biotechnology and the increasing diversity of market demands, the biopharmaceutical industry is facing the following innovation needs:
1. Refined management: production support systems are required to be more refined and efficient in order to adapt to complex production processes and strict quality requirements.
2. Intelligent upgrading: using big data, artificial intelligence and other technologies to improve the intelligence level of the production support system, and realize the automation and intelligence of the production process.
3. Environmental protection and sustainable development: Focus on environmental protection and resource conservation to realize green production while meeting production needs.
(1) Process reengineering: optimize the production process of the enterprise, simplify unnecessary links and improve the production efficiency.
(2) Standardized operation: formulate and improve the production process regulations to ensure the standardization and consistency of the production process.
(3) All-employee quality management: implement all-employee quality management to improve employees' quality awareness and reduce the error rate in the production process.
(1) Intelligent Manufacturing: Introduce intelligent manufacturing equipments, such as automated production lines, intelligent warehouses, etc., to reduce the manual intervention and improve the production precision.
(2) Data-driven decision-making: real-time monitoring and predictive maintenance of the production process through the collection and analysis of production data to reduce the failure rate.
(3) Artificial Intelligence Application: Optimize production scheduling and improve production efficiency by using artificial intelligence technologies, such as machine learning and deep learning.
(1) Green Production: Adoption of environmentally friendly materials and processes, and reduction of waste and pollutant emissions during the production process.
(2) Energy management: implement energy management system to optimize energy use and reduce energy consumption.
(3) Circular Economy: Promote the resourceful utilization of waste and realize the circular economy of the production process.
The innovation and practice of the production support system in the biopharmaceutical industry is the key to enhance the core competitiveness of the enterprise and adapt to the changes in market demand. Through the deepening of refined management, the promotion of intelligent upgrading, and the exploration of environmental protection and sustainable development, biopharmaceutical companies can realize the improvement of production efficiency, cost reduction and product quality assurance. In the future, with the continuous progress of technology, the production support system of the biopharmaceutical industry will continue to develop to a higher level and make greater contributions to the prosperity of China's biopharmaceutical industry.