摘要
近年来,快递循环包装的使用量越来越多,不仅消耗了大量成本,循环包装材料对环境造成的影响也越来越大.与此同时,对快递循环包装回收的整体规划却还不完善,回收工作还存在难度大、效率低的问题,给回收中心进行选址能够有效解决这一问题.因此本研究提出了一种快递循环包装回收中心选址的方法,以成本和碳排放为优化目标,采用人工蜂群算法(ABC)进行优化求解,并与其他优化算法进行了对比.经过实验验证,本研究提出的方法在优化速度和优化结果上都表现出了显著的优势,通过本研究提出的方法,可以有效地确定最佳的快递循环包装回收中心选址方案,从而降低循环包装回收过程中的成本和对环境的不良影响.在未来的研究中,可考虑更多社会影响因素,以促进循环包装回收的可持续发展.
Abstract
In recent years,the use of reusable packaging in the express delivery industry has increased significantly,leading to substantial cost consumption and escalating environmental impact due to the materials used.However,the overall planning for the recycling of reusable packaging remains underdeveloped,presenting challenges such as high difficulty and low efficiency in recycling operations.Establishing optimal locations for recycling centers can effectively address these issues.Therefore,a method for determining the optimal locations for express delivery reusable packaging recycling centers was proposed in this Study,with the dual objectives of minimizing costs and carbon emissions being pursued.The Artificial Bee Colony(ABC)algorithm was employed for optimization,and its performance was compared with other optimization algorithms.Experimental results demonstrated that the proposed method exhibits significant advantages in both optimization speed and results.By utilizing the proposed method,the optimal locations for reusable packaging recycling centers can be effectively determined,thereby reducing costs and mitigating the environmental impact of the recycling process.Future research could consider additional social impact factors to promote the sustainable development of reusable packaging recycling.
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