Identifying an effective last-mile customer delivery option with an integrated eco-friendly inventory model

IF 1.1 4区计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

Infor Pub Date : 2021-12-22 DOI:10.1080/03155986.2021.2012403

I. D. Wangsa, H. Wee, Y. Hsiao, Novrianty Rizky

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引用次数: 4

Abstract

Abstract In this study, we have developed an integrated inventory model for the last-mile delivery where the distributer supplies goods to his customers. Two services based on the type of deliveries are investigated, namely: 1) motorcycle delivery service, and 2) drone delivery service. The objective of this study is to identify an effective last-mile delivery option, considering both cost and eco-friendly factors. An algorithm is formulated to determine the optimal order quantity, safety factor, lead-time, total emission and the number of deliveries. The implication derived from our investigation is that: using motorcycle for the last-mile delivery may be faster than using drone, it is not as environmentally friendly. One of the disadvantages of using drone is the fact that current drone cannot carry too heavy loads or travel very long distances; we hope in the future more advanced drone will be able to overcome the disadvantage. Numerical examples and sensitivity analyses are provided to illustrate the proposed model. Finally, closing remarks and future research are given in the conclusion. From the comparison analysis, besides eco-friendly, the integrated total cost using drone is lower than motorcycle, with a cost-saving around 3-4%.

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通过集成的环保库存模式，确定有效的最后一英里客户交付选择

在本研究中，我们开发了一个最后一英里交付的集成库存模型，其中分销商向其客户提供货物。根据送货类型调查了两种服务，分别是:1)摩托车送货服务，2)无人机送货服务。本研究的目的是在考虑成本和环保因素的情况下，确定一种有效的最后一英里递送方案。制定了确定最优订货量、安全系数、交货期、总排放量和交货次数的算法。从我们的调查中得出的结论是:使用摩托车进行最后一英里的送货可能比使用无人机更快，但它不那么环保。使用无人机的一个缺点是，目前的无人机不能携带太重的载荷或飞行很长的距离;我们希望未来更先进的无人机能够克服这个缺点。给出了数值算例和灵敏度分析来说明所提出的模型。最后，在结论部分对全文进行了总结和展望。从对比分析来看，除了环保之外，使用无人机的综合总成本低于摩托车，节省成本约为3-4%。

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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来源期刊

Infor 管理科学-计算机：信息系统

CiteScore

2.60

自引率

7.70%

发文量

审稿时长

>12 weeks

期刊介绍： INFOR: Information Systems and Operational Research is published and sponsored by the Canadian Operational Research Society. It provides its readers with papers on a powerful combination of subjects: Information Systems and Operational Research. The importance of combining IS and OR in one journal is that both aim to expand quantitative scientific approaches to management. With this integration, the theory, methodology, and practice of OR and IS are thoroughly examined. INFOR is available in print and online.