Bai Yuntao, Liu Di, Ma Jili
Business School, Shandong Management University, Jinan, China.
Center for Industrial and Business Organization, Dongbei University of Finance and Economics, Dalian, China.
PLoS One. 2025 Mar 4;20(3):e0319257. doi: 10.1371/journal.pone.0319257. eCollection 2025.
Efficient scheduling of shared takeaway containers plays a significant role in the sharing economy system. An effective scheduling system ensures the maximization of container reuse, reducing resource waste and environmental pollution. To explore the applicability of different scheduling models for shared takeaway containers, this paper constructs differential game models for three modes: centralized scheduling, decentralized scheduling, and demand-based scheduling. The equilibrium outcomes are compared and analyzed. The research findings indicate that when the revenue from scheduling takeaway containers is low, decentralized scheduling can yield the maximum benefit for takeaway platforms; conversely, when the revenue is high, centralized scheduling offers the greatest benefit. For restaurant enterprises, when the revenue from scheduling is low, if the cost of scheduling is also low, demand-based scheduling can provide the maximum benefit; however, if the cost is high, decentralized scheduling is more advantageous; otherwise, centralized scheduling can maximize the benefits for restaurant enterprises.
共享外卖容器的高效调度在共享经济系统中发挥着重要作用。一个有效的调度系统可确保容器重复利用率最大化，减少资源浪费和环境污染。为探究不同调度模型对共享外卖容器的适用性，本文构建了集中调度、分散调度和基于需求调度三种模式的微分博弈模型。对均衡结果进行了比较和分析。研究结果表明，当调度外卖容器的收益较低时，分散调度可为外卖平台带来最大收益；相反，当收益较高时，集中调度带来的收益最大。对于餐饮企业而言，当调度收益较低时，如果调度成本也较低，基于需求的调度可提供最大收益；然而，如果成本较高，分散调度更具优势；否则，集中调度可为餐饮企业实现收益最大化。
