Addressing the challenges of using autonomous robots for last-mile delivery
Küçük Resim Yok
Tarih
2024
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Pergamon-Elsevier Science Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The importance of last-mile delivery (LMD) in today's logistics networks has increased recently due to the rising popularity of e-commerce and home delivery. Various LMD modes, such as drones and autonomous vehicles, have emerged to solve the problems encountered during LMD activities and to reduce human intervention in the process. The purpose of this paper is to determine the challenges that arise when using autonomous delivery robots (ADRs) in LMD. Throughout the research, the challenges have been revealed, categorized into six titles and their significance has been calculated via the intuitionistic fuzzy (IF) pivot pairwise relative criteria importance assessment (PIPRECIA) method in conjunction with PESTEL Analysis. IF-PIPRECIA is employed for the first time in the literature with PESTEL Analysis to evaluate the challenges for the implementation of ADRs in LMD. According to the proposed methodology results, challenges related to Energy consumption, Battery life and energy management, Cybersecurity, Air pollution, and Uncertain return on investment are the most critical factors to consider when implementing ADRs in LMD.
Açıklama
Anahtar Kelimeler
Autonomous delivery robots, Intuitionistic fuzzy sets, Multi -criteria decision -making, PIPRECIA, Sustainability, Fuzzy, Piprecia, Selection, Transportation, Model
Kaynak
Computers & Industrial Engineering
WoS Q Değeri
N/A
Scopus Q Değeri
Q1
Cilt
190
