{"title":"Optimizing drone logistics in complex urban industrial infrastructure","authors":"Tomasz Dudek, Karolina Kaśkosz","doi":"10.1016/j.trd.2025.104610","DOIUrl":null,"url":null,"abstract":"<div><div>This article introduces innovative model addressing the “Drone Routing Problem” within multifloor manufacturing sites. The focus aims on developing a strategy to minimize energy costs and reduce delivery times amidst variable spatial conditions. Factors such as facility architecture, dynamic production changes, and urban industrial infrastructure are analysed. The study incorporates environmental aspects, exploring the eco-efficiency of drone-based logistics in industrial settings within the context of sustainable development, city logistics data collection processes, a comprehensive understanding of effectiveness in the contemporary multifloor manufacturing complexes. This research highlights new perspectives for internal logistics optimization with drones while aligning environmentally conscious practices in sophisticated urban industrial infrastructure. The solution may significantly minimize the share of vehicle fleet in the area of production facility. Presented process may significantly reduce the level of traffic congestion in the cities where such production facilities are located, and may also become one of the elements promoting sustainable development.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"140 ","pages":"Article 104610"},"PeriodicalIF":7.3000,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part D-transport and Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1361920925000203","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
This article introduces innovative model addressing the “Drone Routing Problem” within multifloor manufacturing sites. The focus aims on developing a strategy to minimize energy costs and reduce delivery times amidst variable spatial conditions. Factors such as facility architecture, dynamic production changes, and urban industrial infrastructure are analysed. The study incorporates environmental aspects, exploring the eco-efficiency of drone-based logistics in industrial settings within the context of sustainable development, city logistics data collection processes, a comprehensive understanding of effectiveness in the contemporary multifloor manufacturing complexes. This research highlights new perspectives for internal logistics optimization with drones while aligning environmentally conscious practices in sophisticated urban industrial infrastructure. The solution may significantly minimize the share of vehicle fleet in the area of production facility. Presented process may significantly reduce the level of traffic congestion in the cities where such production facilities are located, and may also become one of the elements promoting sustainable development.
期刊介绍:
Transportation Research Part D: Transport and Environment focuses on original research exploring the environmental impacts of transportation, policy responses to these impacts, and their implications for transportation system design, planning, and management. The journal comprehensively covers the interaction between transportation and the environment, ranging from local effects on specific geographical areas to global implications such as natural resource depletion and atmospheric pollution.
We welcome research papers across all transportation modes, including maritime, air, and land transportation, assessing their environmental impacts broadly. Papers addressing both mobile aspects and transportation infrastructure are considered. The journal prioritizes empirical findings and policy responses of regulatory, planning, technical, or fiscal nature. Articles are policy-driven, accessible, and applicable to readers from diverse disciplines, emphasizing relevance and practicality. We encourage interdisciplinary submissions and welcome contributions from economically developing and advanced countries alike, reflecting our international orientation.