Cost Optimization Strategies in Pharmaceutical Cold Chain Logistics

In the field of pharmaceutical cold chain logistics, balancing cost optimization and temperature control assurance is a core issue for the industry. This study focuses on how to minimize drug losses while ensuring precise temperature control throughout the entire process, thereby achieving effective reduction of comprehensive costs. The research emphatically evaluates three key optimization strategies: optimizing transportation routes through intelligent algorithms to shorten in-transit time; strengthening full-chain quality compliance management to avoid the risk of temperature control failure; and implementing big data-based inventory demand forecasting to reduce overstock and shortages. Practical verification shows that the synergistic application of these three strategies can significantly improve the overall operational efficiency of drug distribution and reduce the unit distribution cost. However, the implementation of these strategies faces multiple challenges: the high investment in advanced temperature control technologies, the technical complexity of cold chain system integration, and the shortage of professional operation and maintenance talents. These problems are particularly prominent for small and medium-sized enterprises (SMEs). Although advanced technologies such as the Internet of Things and blockchain can bring a leap in temperature control accuracy and traceability, their implementation thresholds depend on the resource endowments of enterprises. Combining literature review and case studies of multiple logistics enterprises, the research confirms that it is necessary to customize scalable and economically applicable solutions for enterprises of different scales and operating models to promote the improvement of the overall cost optimization level of the industry.