scholarly journals A Roadmap to Nextgen Aircraft Control for Last Mile Delivery Drones

Author(s):  
Cesar Augusto Marcondes ◽  
Denis Loubach ◽  
Elton Sbruzzi ◽  
Filipe Verri ◽  
Johnny Marques ◽  
...  

<div>According to recent studies, unmanned aerial vehicles (UAV) can play a game-changing part in terms of cost reduction and speed increase to address the last-mile delivery (LMD) problem and also to attend emergencies. Last-mile delivery services are getting more and more relevant, especially when in times where social distance is required. Given this scenario, our paper introduces a cyber-physical (CPS) system roadmap propose applicable for last-mile delivery drones. The proposed CPS guidelines are based on the concept of system of systems to enable an emerging behavior towards smart cities’ governance. In this paper, we also discuss topics from air space control and reservation throughout communication infrastructure and decentralized control supported on a blockchain.</div><div><br></div>

2021 ◽  
Author(s):  
Cesar Augusto Marcondes ◽  
Denis Loubach ◽  
Elton Sbruzzi ◽  
Filipe Verri ◽  
Johnny Marques ◽  
...  

<div>According to recent studies, unmanned aerial vehicles (UAV) can play a game-changing part in terms of cost reduction and speed increase to address the last-mile delivery (LMD) problem and also to attend emergencies. Last-mile delivery services are getting more and more relevant, especially when in times where social distance is required. Given this scenario, our paper introduces a cyber-physical (CPS) system roadmap propose applicable for last-mile delivery drones. The proposed CPS guidelines are based on the concept of system of systems to enable an emerging behavior towards smart cities’ governance. In this paper, we also discuss topics from air space control and reservation throughout communication infrastructure and decentralized control supported on a blockchain.</div><div><br></div>


2014 ◽  
Vol 239 (2) ◽  
pp. 451-469 ◽  
Author(s):  
Yezekael Hayel ◽  
Dominique Quadri ◽  
Tania Jiménez ◽  
Luce Brotcorne

Author(s):  
Jianhui Du ◽  
Xu Wang

Against the background of e-commerce, online shopping has seen considerable growth in China, as in the rest of the world. The last mile of delivery services for online shopping is a logistics challenge that affects service performance. This study has two main aims: first, to construct an evaluation criteria system for last-mile delivery service; and second to propose a matching model, capable of ranking six delivery methods according to customer preferences in the different urban areas. The factors base is established from the literature and from questionnaires and interviews with experts. Moreover, by conducting a questionnaire with consumers and analyzing the data, this research identifies the top 15 factors. The matching model based on the fuzzy analytic hierarchy process is constructed to compute the weight of each factor. The collection of data on customer preference was performed in distinct urban areas. Finally, to illustrate the validity of the criteria factors and the matching model, it was applied to three districts in Chongqing in China. Finally, our theoretical results from the experiments in real-life instances show that the criteria system and the matching model could help express companies to identify appropriate delivery methods in specific areas.


2020 ◽  
Vol 12 (14) ◽  
pp. 5844 ◽  
Author(s):  
Seung Yoon Ko ◽  
Ratna Permata Sari ◽  
Muzaffar Makhmudov ◽  
Chang Seong Ko

As e-commerce is rapidly expanding, efficient and competitive product delivery system to the final customer is highly required. Recently, the emergence of a smart platform is leading the transformation of distribution, performance, and quality in express delivery services, especially in the last-mile delivery. The business to consumer (B2C) through smart platforms such as Amazon in America and Coupang in Korea utilizes the differentiated delivery rates to increase the market share. In contrast, the small and medium-sized express delivery companies with low market share are trying hard to expand their market share. In order to fulfill all customer needs, collaboration is needed. This study aims to construct a collaboration model to maximize the net profit by considering the market density of each company. A Baduk board game is used to derive the last-mile delivery time function of market density. All companies in collaboration have to specialize the delivery items into certain service clustering types, which consist of regular, big sized/weighted, and cold items. The multi-objective programming model is developed based on max-sum and max-min criteria. The Shapley value and nucleolus approaches are applied to find the profit allocation. Finally, the applicability of the proposed collaboration model is shown through a numerical example.


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