Picture fuzzy WASPAS method for selecting last-mile delivery mode: a case study of Belgrade.

IF 4.3 3区 工程技术
European Transport Research Review Pub Date : 2021-01-01 Epub Date: 2021-07-30 DOI:10.1186/s12544-021-00501-6
Vladimir Simić, Dragan Lazarević, Momčilo Dobrodolac
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引用次数: 0

Abstract

Background: Last-mile delivery (LMD) is becoming more and more demanding due to an increasing number of users and traffic problems in cities. Besides, medical crises (like the COVID-19 outbreak) and air pollution represent additional motives for the transition from traditional to socially and environmentally sustainable LMD mode. An emerging problem for companies in the postal and logistics industry is how to determine the best LMD mode in a multi-criteria setting under uncertainty.

Method: For the first time, an extension of the Weighted Aggregated Sum Product ASsessment (WASPAS) method under the picture fuzzy environment is presented to solve the LMD mode selection problem. The introduced picture fuzzy set (PFS) based multi-criteria decision-making (MCDM) method can be highly beneficial to managers who are in charge of LMD since it can take into account the neutral/refusal information and efficiently deal with high levels of imprecise, vague, and uncertain information. The comparative analysis with the existing state-of-the-art PFS-based MCDM methods approved the high reliability of the proposed picture fuzzy WASPAS method. Its high robustness and consistency are also confirmed. The presented method can be used to improve LMD in urban areas worldwide. Besides, it can be applied to solve other emerging MCDM problems in an uncertain environment.

Findings: A real-life case study of Belgrade is presented to fully illustrate the potentials and applicability of the picture fuzzy WASPAS method. The results show that postomates are the best mode for LMD in Belgrade, followed by cargo bicycles, drones, traditional delivery, autonomous vehicles, and tube transport.

Supplementary information: The online version contains supplementary material available at 10.1186/s12544-021-00501-6.

选择最后一英里配送模式的图片模糊 WASPAS 方法:贝尔格莱德案例研究。
背景:由于用户数量不断增加和城市交通问题,对最后一英里配送(LMD)的要求越来越高。此外,医疗危机(如 COVID-19 爆发)和空气污染也是促使人们从传统的最后一英里递送模式向社会和环境可持续发展的最后一英里递送模式转变的原因。对于邮政和物流行业的公司来说,一个新出现的问题是如何在不确定的多标准环境下确定最佳的 LMD 模式:方法:首次提出了图片模糊环境下加权汇总产品评估(WASPAS)方法的扩展,以解决 LMD 模式选择问题。引入的基于图片模糊集(PFS)的多标准决策(MCDM)方法可以考虑中性/拒绝信息,并有效处理大量不精确、模糊和不确定的信息,因此对负责 LMD 的管理者大有裨益。与现有的基于 PFS 的最先进的 MCDM 方法的比较分析表明,所提出的图片模糊 WASPAS 方法具有很高的可靠性。它的高鲁棒性和一致性也得到了证实。所提出的方法可用于改善全球城市地区的 LMD。此外,该方法还可用于解决不确定环境中新出现的其他 MCDM 问题:通过贝尔格莱德的实际案例研究,充分说明了图片模糊 WASPAS 方法的潜力和适用性。结果表明,在贝尔格莱德,邮差是最佳的大规模杀伤性武器模式,其次是货运自行车、无人机、传统快递、自动驾驶汽车和管道运输:在线版本包含补充材料,可查阅 10.1186/s12544-021-00501-6。
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
European Transport Research Review
European Transport Research Review Engineering-Mechanical Engineering
CiteScore
9.70
自引率
4.70%
发文量
49
期刊介绍: European Transport Research Review (ETRR) is a peer-reviewed open access journal publishing original high-quality scholarly research and developments in areas related to transportation science, technologies, policy and practice. Established in 2008 by the European Conference of Transport Research Institutes (ECTRI), the Journal provides researchers and practitioners around the world with an authoritative forum for the dissemination and critical discussion of new ideas and methodologies that originate in, or are of special interest to, the European transport research community. The journal is unique in its field, as it covers all modes of transport and addresses both the engineering and the social science perspective, offering a truly multidisciplinary platform for researchers, practitioners, engineers and policymakers. ETRR is aimed at a readership including researchers, practitioners in the design and operation of transportation systems, and policymakers at the international, national, regional and local levels.
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