Department of Industrial Engineering, Nisantasi University, 34398, Istanbul, Turkey.
Department of Industrial Engineering, Karadeniz Technical University, 61080, Trabzon, Turkey.
Environ Sci Pollut Res Int. 2023 Aug;30(39):90006-90023. doi: 10.1007/s11356-022-23965-y. Epub 2022 Nov 14.
One of the main causes of the significant commercial vehicle traffic in the city region is last-mile deliveries. Parcel lockers, which are one of the easiest and most environmentally friendly solutions for last-mile delivery, are one of the most studied subjects recently. The parcel locker ensures consumer privacy while being quick and efficient. Its full-time service can effectively address the issue of student and office worker pickup. In this paper, the location of a parcel locker intended to be established in the most convenient location in Beşiktaş district of İstanbul, Turkey has been determined. This problem can be solved using a multi-criteria decision-making (MCDM) structure due to the availability of numerous aspects that must be considered while choosing the optimum location. Additionally, the benefit of fuzzy logic is employed to translate expert opinions into mathematical expressions and incorporate them into decision-making processes. To choose the ideal location for the parcel locker, a novel model integrating the Bayesian Best Worst Method (B-BWM) and Pythagorean fuzzy Weighted Aggregated Sum Product Assessment (PF-WASPAS) approaches is proposed for the first time in the literature. Additionally, a sensitivity analysis is conducted to evaluate the model's robustness. As a consequence, the suggested model effectively identifies the best location for a parcel locker in Istanbul.
城市区域内大量商业车辆交通的主要原因之一是最后一英里的配送。包裹储物柜是最后一英里配送最简单、最环保的解决方案之一，最近也是研究最多的课题之一。包裹储物柜在保证消费者隐私的同时，还能做到快速高效。它的全天候服务可以有效地解决学生和上班族取件的问题。本文旨在确定土耳其伊斯坦布尔贝西克塔斯区一个包裹储物柜的最佳位置。由于在选择最佳位置时需要考虑许多方面，因此可以使用多准则决策（MCDM）结构来解决这个问题。此外，模糊逻辑的优势在于可以将专家意见转化为数学表达式，并将其纳入决策过程。为了选择包裹储物柜的理想位置，本文首次提出了一种将贝叶斯最佳最差方法（B-BWM）和 Pythagorean 模糊加权聚合和乘积评估（PF-WASPAS）方法相结合的新模型。此外，还进行了敏感性分析以评估模型的稳健性。因此，所提出的模型有效地确定了伊斯坦布尔包裹储物柜的最佳位置。
