考虑碳排放的冷链物流轴幅式网络多目标优化

MULTI-OBJECTIVE OPTIMIZATION OF COLD CHAIN LOGISTICS AXLE-AMPLITUDE NETWORK CONSIDERING CARBON EMISSIONS

针对传统冷链网络优化模型忽视碳排放量的不足,基于绿色物流、共享经济的相关理念,在轴幅式理论下对多个区域的冷链配送进行资源整合后进行共同配送,提高冷链配送车辆的满载率。同时,构建考虑碳排放成本在内的总成本最小和最大化客户满意度的多目标优化模型,达到降低总成本和满足客户最大满意度的目的,实现经济效益和环境效益共赢的状态。以客户满意度来表示物流网络系统的可靠性和服务质量,并结合易腐品的新鲜度对时间的敏感性,引入货损成本。最后,设计粒子群算法对其进行求解。通过算例对比验证了模型与算法的有效性,有效解决冷链物流网络的网点布局和运输配送问题。

Aiming at the shortcomings of traditional cold chain network optimization model in neglecting carbon emission range,we integrate resources of cold chain distribution in multiple regions under the axle-amplitude theory,and carry out joint distribution to improve the full load rate of cold chain distribution vehicles based on the concepts of green logistics and shared economy.We took carbon emission costs into consideration and constructed a multi-objective optimization model to minimize the total cost and maximize customer satisfaction,so as to reduce the total cost and satisfy the maximum customer satisfaction,and achieve a win-win situation of economic and environmental benefits.Customer satisfaction represented the reliability and quality of service of logistics network system.Combining the sensitivity of freshness of perishable goods to time,we introduced the cost of damage of cargo.Particle swarm optimization algorithm was designed to solve the problem.The validity of the model and the algorithm is proven by the comparison of numerical examples,which can effectively solve the network layout and transportation and distribution problems of cold chain logistics network.