An Optimization Framework for On-Demand Meal Delivery System

S. Paul, Sunil Rathee, Jose Mathew, Kranthi Mitra Adusumilli
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引用次数: 7

Abstract

The success of an on-demand meal delivery business depends on the cost-effectiveness, speedy, and timely delivery of orders. This problem calls for an optimal trade-off between the cost and time of delivery in near real-time for large-scale orders. In this paper, a generic framework for the optimization of first-mile and last-mile of an on-demand meal delivery system is proposed. The objective is to minimize the overall Cost Per Delivery (CPD) and the delay in order delivery time. Few policies are recommended based on the Just-In-Time (JIT) concept and performances are compared within a simulation framework with real order data of a city. The simulation results indicate that the aggressive JIT policies result in substantial savings of CPD by reducing the wait time without compromising the Customer Experience (CX).
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按需送餐系统的优化框架
按需送餐业务的成功取决于成本效益、快速和及时的送餐。该问题要求在大规模订单的近实时交付成本和时间之间进行最佳权衡。本文提出了一种按需送餐系统第一英里和最后一英里优化的通用框架。目标是最小化每次交付的总成本(CPD)和订单交付时间的延迟。基于准时制(JIT)概念推荐了一些策略,并在模拟框架内与城市的实际订单数据进行了性能比较。模拟结果表明,积极的JIT策略通过减少等待时间而不影响客户体验(CX),从而大大节省了CPD。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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