Addressing last-mile delivery challenges by using euclidean distance-based aggregation within spherical Fuzzy group decision-making

Q1 Engineering

Transportation Engineering Pub Date : 2023-11-02 DOI:10.1016/j.treng.2023.100212

Sarbast Moslem, Francesco Pilla

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Abstract

Optimal location selection plays a crucial role in enhancing logistic performance and addressing inefficiencies in last-mile delivery. Parcel lockers have emerged as an efficient solution in this regard. In the context of optimizing last-mile logistics in Dublin, Ireland, this research strives to identify the ideal locations for parcel lockers. It does so by pioneering the application of a unique decision-making model. To navigate the inherent uncertainties in decision-makers' preferences, the study harnesses the power of the Analytic Hierarchy Process (AHP) in Spherical Fuzzy environment with the Euclidean Distance-Based Aggregation Method (EDBAM) for the selection of parcel locker locations. The harmonious integration of these methodologies serves to mitigate the deterministic shortcomings typically associated with the AHP approach, presenting an innovative and robust solution for enhancing last-mile delivery efficiency. The outcomes of this research will provide valuable insights to policymakers in making informed strategic decisions regarding the selection of parcel locker locations in Dublin City.

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在球形模糊群决策中使用基于欧几里得距离的聚合来解决最后一英里交付的挑战

优化配送地点选择对提高物流绩效和解决最后一英里配送效率低下问题起着至关重要的作用。在这方面，包裹储物柜已成为一种有效的解决方案。在爱尔兰都柏林优化最后一英里物流的背景下，本研究努力确定包裹储物柜的理想位置。它通过率先应用一种独特的决策模型来做到这一点。为了应对决策者偏好中固有的不确定性，本研究利用球面模糊环境中的层次分析法(AHP)和基于欧几里得距离的聚合法(EDBAM)来选择包裹储物柜的位置。这些方法的和谐集成有助于减轻AHP方法典型的确定性缺陷，为提高最后一英里交付效率提供创新和健壮的解决方案。这项研究的结果将为决策者提供有价值的见解，以制定关于都柏林市包裹储物柜位置选择的明智战略决策。

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