Zobrazeno 1 - 10
of 1 003
pro vyhledávání: '"routing optimization"'
Publikováno v:
Modern Supply Chain Research and Applications, Vol 6, Iss 4, Pp 376-392 (2024)
Purpose – This study aims to examine the impact of the decision makers’ risk preference on logistics routing problem, contributing to logistics behavior analysis and route integration optimization under uncertain environment. Due to the unexpecte
Externí odkaz:
https://doaj.org/article/db759d3d1c184dc28e6f24720819b505
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract With the increasing demand for fresh food markets, refrigerated transportation has become an essential component of logistics operations. Currently, fresh food transportation frequently faces issues of high energy consumption and high costs,
Externí odkaz:
https://doaj.org/article/d19370f8bb7a495e80d0032dbdeea6f9
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 5, Pp 1405-1414 (2024)
In Software-Defined Networks (SDNs), determining how to efficiently achieve Quality of Service (QoS)-aware routing is challenging but critical for significantly improving the performance of a network, where the metrics of QoS can be defined as, for e
Externí odkaz:
https://doaj.org/article/5eb59c115fb3434fbe176dd95d536a07
Publikováno v:
European Transport Research Review, Vol 16, Iss 1, Pp 1-22 (2024)
Abstract The COVID-19 pandemic accelerated the shift towards online shopping, reshaping consumer habits and intensifying the impact on urban freight distribution. This disruption exacerbated traffic congestion and parking shortages in cities, undersc
Externí odkaz:
https://doaj.org/article/6fd7908a511e4a2e8edf06ba0a506f37
Publikováno v:
Cleaner Logistics and Supply Chain, Vol 12, Iss , Pp 100166- (2024)
To manage remotely piloted aircraft system (RPAS) networks effectively, this research presents a multi-objective location-routing optimization model. This model integrates time window constraints, concurrent pick-up and delivery demands, and recharge
Externí odkaz:
https://doaj.org/article/7917d709164c49c0bb287f0d78fc43f1
Publikováno v:
Electronic Research Archive, Vol 32, Iss 4, Pp 2897-2920 (2024)
To improve the fast and efficient distribution of fresh products with dynamic customer orders, we constructed a multi-objective vehicle routing optimization model with the objectives of minimizing the distribution costs including freshness-loss cost,
Externí odkaz:
https://doaj.org/article/eabe7fa1dd7a4eda969c5d6ad2e3ae84
Publikováno v:
Journal of Theoretical and Applied Electronic Commerce Research, Vol 19, Iss 2, Pp 774-796 (2024)
Order distribution and routing optimization of takeout delivery is a challenging research topic in the field of e-commerce. In this paper, we propose a drone–rider joint delivery mode with multi-distribution center collaboration for the problems of
Externí odkaz:
https://doaj.org/article/bd2af456c58147788c641684b111f343
Autor:
Daekyun Cho, Gunwoo Park
Publikováno v:
IEEE Access, Vol 12, Pp 160570-160585 (2024)
Wireless sensor network (WSN) technology is becoming increasingly crucial in the context of the Fourth Industrial Revolution. This has led to the development of various protocols aimed at enhancing energy efficiency, with LEACH, PEGASIS, and EEACP be
Externí odkaz:
https://doaj.org/article/cc33ea8f524647059ae1e095712a228c
Publikováno v:
IEEE Access, Vol 12, Pp 158189-158206 (2024)
Electric vehicle (EV) charging spots require frequent inspections to identify potential safety hazards, and charging piles in charging spots exhibit a significant failure rate, necessitating maintenance. The efficiency and quality of inspection-maint
Externí odkaz:
https://doaj.org/article/c4a5ec9a2a3e418fb66ffb6c5ba63daa
Publikováno v:
IEEE Access, Vol 12, Pp 141540-141558 (2024)
As the competition in the cold chain logistics industry intensifies, for the problems of high total cost, low customer satisfaction, and low vehicle distribution efficiency in the process of cold chain logistics distribution, this paper takes fuzzy t
Externí odkaz:
https://doaj.org/article/5f2c4fafea0f42dd867bee5433b74ac7