Готові списки джерел за темами / Crowdsourced last mile delivery

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Добірка наукової літератури з теми "Crowdsourced last mile delivery"

Автор: Grafiati

Опубліковано: 10 грудня 2024

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Статті в журналах з теми "Crowdsourced last mile delivery"

Ghaderi, Hadi, Lele Zhang, Pei-Wei Tsai, and Jihoon Woo. "Crowdsourced last-mile delivery with parcel lockers." International Journal of Production Economics 251 (September 2022): 108549. http://dx.doi.org/10.1016/j.ijpe.2022.108549.

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Pan, Yan, Shining Li, Qianwu Chen, Nan Zhang, Tao Cheng, Zhigang Li, Bin Guo, Qingye Han, and Ting Zhu. "Efficient Schedule of Energy-Constrained UAV Using Crowdsourced Buses in Last-Mile Parcel Delivery." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no. 1 (March 19, 2021): 1–23. http://dx.doi.org/10.1145/3448079.

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Анотація:

Stimulated by the dramatical service demand in the logistics industry, logistics trucks employed in last-mile parcel delivery bring critical public concerns, such as heavy cost burden, traffic congestion and air pollution. Unmanned Aerial Vehicles (UAVs) are a promising alternative tool in last-mile delivery, which is however limited by insufficient flight range and load capacity. This paper presents an innovative energy-limited logistics UAV schedule approach using crowdsourced buses. Specifically, when one UAV delivers a parcel, it first lands on a crowdsourced social bus to parcel destination, gets recharged by the wireless recharger deployed on the bus, and then flies from the bus to the parcel destination. This novel approach not only increases the delivery range and load capacity of battery-limited UAVs, but is also much more cost-effective and environment-friendly than traditional methods. New challenges therefore emerge as the buses with spatiotemporal mobility become the bottleneck during delivery. By landing on buses, an Energy-Neutral Flight Principle and a delivery scheduling algorithm are proposed for the UAVs. Using the Energy-Neutral Flight Principle, each UAV can plan a flying path without depleting energy given buses with uncertain velocities. Besides, the delivery scheduling algorithm optimizes the delivery time and number of delivered parcels given warehouse location, logistics UAVs, parcel locations and buses. Comprehensive evaluations using a large-scale bus dataset demonstrate the superiority of the innovative logistics UAV schedule approach.

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Wang, Weichen. "Crowdsourced Logistics: A Review of Research." Frontiers in Business, Economics and Management 14, no. 2 (April 6, 2024): 51–54. http://dx.doi.org/10.54097/am20rf79.

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Crowdsourced logistics is a logistics mode developed under the backdrop of the "Internet+" era. In this mode, companies delegate the logistics and distribution tasks, originally performed by employed personnel, to the idle workforce in society. This approach helps companies alleviate the last-mile delivery issue, reduce costs, and facilitate the reallocation of social resources, attracting considerable attention from scholars. This paper provides a brief overview of the research in the field of crowdsourced logistics, summarizing four major research directions and related research findings. It is observed that research in crowdsourced logistics still lacks in addressing service issues, quality evaluation systems, and quality optimization.

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Dupljanin, D., M. Mirkovic, S. Dumnic, D. Culibrk, S. Milisavljevic, and D. Sarac. "Urban Crowdsourced Last Mile Delivery: Mode of Transport Effects on Fleet Performance." International Journal of Simulation Modelling 18, no. 3 (September 15, 2019): 441–52. http://dx.doi.org/10.2507/ijsimm18(3)481.

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Elmay, Feruz, Maha Kadadha, Rabeb Mizouni, Shakti Singh, Hadi Otrok, and Azzam Mourad. "Digital twins and dynamic NFTs for blockchain-based crowdsourced last-mile delivery." Information Processing & Management 61, no. 4 (July 2024): 103756. http://dx.doi.org/10.1016/j.ipm.2024.103756.

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Dunno, Kyle, and Purushottam Chavan. "Measurement and Analysis of Crowdsourced Vehicle Vibration Levels during Last Mile Delivery Segments for Parcel Shipments." Vibration 5, no. 4 (November 8, 2022): 792–802. http://dx.doi.org/10.3390/vibration5040046.

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Crowdsourced logistics has emerged as a delivery channel for many single-parcel packages. As a result, this logistics network has introduced personal passenger vehicles as a means to transport parcels during last mile delivery segments. To understand this network’s vibration levels and cargo capacity restraints, four vehicle types (a sedan, sports sedan, compact SUV and full-size SUV) commonly used in crowdsourced logistics deliveries were selected for measurement and analysis. This study shows that the vibration levels were significantly higher in the vertical axis and that the overall vibration energy increased as vehicle speed increased, except in the sedan. The sedan and SUV vehicles showed power spectral density peak frequencies in the low-frequency range, occurring at approximately 2 Hz, matching previous studies using similar vehicles. The vibration levels were greatest in the sports sedan and lowest in the sedan. The recorded vibration events showed a right-skewed heavy-tailed distribution and were non-Gaussian.

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Wang, Li, Min Xu, and Hu Qin. "Joint optimization of parcel allocation and crowd routing for crowdsourced last-mile delivery." Transportation Research Part B: Methodological 171 (May 2023): 111–35. http://dx.doi.org/10.1016/j.trb.2023.03.007.

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Odeh, Esraa, Shakti Singh, Rabeb Mizouni, and Hadi Otrok. "Crowdsourced auction-based framework for time-critical and budget-constrained last mile delivery." Information Processing & Management 62, no. 1 (January 2025): 103888. http://dx.doi.org/10.1016/j.ipm.2024.103888.

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Guo, Xuezhen, Yngrid Jaqueline Lujan Jaramillo, Jacqueline Bloemhof-Ruwaard, and G. D. H. Claassen. "On integrating crowdsourced delivery in last-mile logistics: A simulation study to quantify its feasibility." Journal of Cleaner Production 241 (December 2019): 118365. http://dx.doi.org/10.1016/j.jclepro.2019.118365.

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Schnieder, Maren. "Visualising Carrier Consolidation and Alternative Delivery Locations: A Digital Model of Last-Mile Delivery in England and Wales." Logistics 8, no. 3 (August 1, 2024): 77. http://dx.doi.org/10.3390/logistics8030077.

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Background: Various innovations have been proposed to improve the efficiency and sustainability of last-mile delivery in urban and rural environments. Notable examples of innovative delivery solutions are parcel lockers, cargo bicycles, crowdsourced delivery, and so on. Methods: This study contributes to the ongoing research by developing a large-scale digital model of England and Wales to evaluate a new generation of solutions for last-mile delivery challenges being faced in both rural areas and cities. The two innovations chosen for comparison in this study are (i) carrier consolidation and (ii) alternative delivery locations (i.e., delivery to the workplace instead of the home). As well as the effect on any individual locations, the digital model evaluates both the benefits for England and Wales as a whole. Furthermore, the influence of the market share on the results, as well as the effect of changing the number of depots, is assessed. Results: By delivering to the customer’s workplace instead of the home, the vehicle kilometres travelled (VKT) reduce slightly (less than 10%). Carrier consolidation shows significant potential in reducing the overall VKT (up to 53%). When looking at individual areas in isolation, the consolidation option reduces the VKT or changes it up and down all within tolerance. Naturally, the first option causes a significant shift in delivery activity across England and Wales. Areas of central London would see in-excess of a 10-fold increase in the number of parcels delivered, whereas the demand for parcels in rural areas is further, and significantly reduced. Conclusions: This study highlights the importance of large-scale and detailed digital models that not only calculate the overall benefits of an innovation but also their effect on each individual area.

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Більше джерел

Дисертації з теми "Crowdsourced last mile delivery"

Ursulian, Alexander-Albert, and Олександр-Альберт Ігорович Урсулян. "Last mile delivery by drones." Thesis, National Aviation University, 2021. https://er.nau.edu.ua/handle/NAU/50554.

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Анотація:

1. Organization for economic co-operation and development (OECD), Delivering The Goods: 21st Century Challenges to Urban Goods Transport, 2003, p. 7-17, Available at: https://www.itf-oecd.org/sites/default/files/docs/03deliveringgoods.pdf 2. Hassanalian, M., & Abdelkefi, A. (2017). Classifications, applications, and design challenges of drones: A review. Progress in Aerospace Science, p. 91. Available at: https://doi.org/10.1016/j.paerosci.2017.04.003 3. Goodchild, A., & Toy, J. (2017). Delivery by drone: An evaluation of unmanned aerial vehicle technology in reducing CO2emissions in the delivery service industry. Transportation Research Part D: Transport and Environment, p. 61. Available at: https://doi.org/10.1016/ j.trd.2017.02.017. 4. Singireddy, R. S. R., & Daim, T. U. (2018). Technology Roadmap : Drone Delivery – Amazon Prime Air. In T. Daim & C. L. EJ (Eds.), Infrastructure and Technology Management. Innovation, Technology, and Knowledge Management (pp. 387–412).
Transportation is one of the core foundations of global economies, consisting of a variety of individual networks and their interconnections that are designed to meet people's and goods' mobility needs. Transportation systems are made up of a large number of physical and organizational components and are characterized by a high level of inherent complexity that’s why very often organization infrastructure and logistics of a city can’t always keep up with increased consumer demand. One option of solution would be to use ecologic and effective drones for urban deliveries.
Транспорт є однією з основних основ світової економіки, що складається з різноманітних окремих мереж та їх взаємозв’язків, призначених для задоволення потреб у мобільності людей та товарів. Транспортні системи складаються з великої кількості фізичних та організаційних компонентів і характеризуються високим рівнем властивої їм складності, тому дуже часто організаційна інфраструктура та логістика міста не завжди можуть встигати за зростанням споживчого попиту. Одним із варіантів рішення було б використовувати екологічні та ефективні безпілотники для міських перевезень.

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Болдирєва, Марина Олегівна, and Maryna Olehivna Boldyrieva. "Methods of last mile delivery optimization." Thesis, National Aviation University, 2021. https://er.nau.edu.ua/handle/NAU/50769.

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Анотація:

1. Research «Last Link: Quantifying the Cost», Cushman & Wakefield. URL: https://www.cushmanwakefield.com.ua/ru/poslednee-zveno] 2. Интернет вещей в логистике: совместный отчет DHL и Cisco 2015. URL: https://json.tv/tech_trend_find/internet-veschey-v-logistike-sovmestnyy-otchet-dhl-i-cisco-20160511113055] 3. Скаков Р., Левкин Г. «Последняя миля» как точка оптимизации при мультимодальных перевозках. Grebennikov Publishing House in Logistics Today, 2020, Volume 1, pp 20-26
The greatest problem and at the same time the key to success is how the supply chain is replenished with goods and passes the «last mile». That is a defined stage where the cost of delivery changes dramatically and innovation should be introduced. The last mile is the final link in the supply chain, which starts from the moment the order is loaded into the vehicle and ends with delivery to the buyer. It is necessary to find cost-effective solutions that will ensure the value of cargo transportation for the end user and operational efficiency for the logistics provider. But, there must be taken care of improving security systems and cargo tracking, so that a quality product is supplied. The Internet of Things can be the first approach to connect the logistics provider to the final consignee using original ways based on the principle of bringing together new dynamic business models. The other available means include tools of reaching the maximum possible transportation system`s optimization.
Найбільшою проблемою і в той же час запорукою успіху є те, як ланцюжок поставок поповнюється товарами і проходить «останню милю». Це визначений етап, коли вартість доставки різко змінюється, і слід впроваджувати інновації. Остання миля - це остання ланка ланцюга поставок, яка починається з моменту завантаження замовлення в транспортний засіб і закінчується доставкою покупцеві. Необхідно знайти економічно ефективні рішення, які забезпечать цінність перевезення вантажів для кінцевого споживача та операційну ефективність для постачальника логістичних послуг. Але слід подбати про вдосконалення систем безпеки та відстеження вантажів, щоб забезпечити якісний товар. Інтернет речей може бути першим підходом для підключення постачальника логістики до кінцевого одержувача, використовуючи оригінальні способи, засновані на принципі об’єднання нових динамічних бізнес-моделей. Інші доступні засоби включають інструменти досягнення максимально можливої оптимізації транспортної системи.

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Hylander, Ruiz Gustavo. "Sustainable delivery vehicle for last mile delivery services." Thesis, Högskolan i Skövde, Institutionen för ingenjörsvetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-17714.

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Pollution levels in urban areas continue to rise, with transportation being the number one cause. As cities ban fossil fuel cars access to the city center, this project looks at the delivery of packgaes from internet purchases. A three-wheeled, human-powered and electrically assisted vehicle is designed. This vehicle is dsigned to work together with last-mile logistics. A scientific design process was carried out to define the stakeholders, competition and requirements of the project, among others.The results yielded a semi-finished vehicle, comprising of the frame, general design, FEA analysis, delivery system and an optimization process for the frame. Future work includes economical or social study, design of the brakes and gear system or a design of the frame-cabin connection.

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Lal, Das Jinto, and Victor Dogbeda Fianu. "Last Mile Delivery Dilemma in E-Commerce." Thesis, Linnéuniversitetet, Institutionen för ekonomistyrning och logistik (ELO), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-75293.

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E-commerce has been growing in Sweden over the years. It has not only contributed to economy, but also has shaped people’s way of living, especially with the service of home delivery. Consumers enjoy the various choices of products with reasonable prices and the convenience of receiving parcels with a single click on the mouse or by using their phones. Meanwhile, the problem of not-at-home and repeated delivery have caused trouble for both consumers and logistic service providers leading to an increase in delivery cost. Therefore, it takes a lot of cooperation and innovations to come up with solution which will both convenient to customer and 3PL providers, which we call ‘last mile delivery’.This thesis was written with purpose of evaluating the solutions used to address the not at home problem of last mile in e-Commerce. Moreover, the thesis seeks find out which of these solutions are preferred by customers and the impact of these solution on customers. The thesis focuses on the Swedish customers because they have more experience buying online.In this thesis we first established a literature review of E-commerce, E- Shoppers preference of last mile delivery, last mile delivery concept, last mile logistics solution (not at home) which we came up with a theoretical framework by examining the impact of last mile delivery. In order to answer the research questions a focus group discussion and nine interviews were carried out focusing mainly on professional and non professional customers in Sweden. The study identified that apart from home delivery, the customers in Sweden mainly use Collection Points in online shopping. Some other delivery methods such as automated locker banks and controlled home access exist but still in early stage. After analyzing the literature review, current solutions and empirical findings, the study concluded with three potential solutions to solve not at home problem. These solutions are - Secured room at residential building to drop parcel, Automated Locker Bank and Collection Points more closer to residential area.

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Voccia, Stacy Ann. "Stochastic last-mile delivery problems with time constraints." Diss., University of Iowa, 2015. https://ir.uiowa.edu/etd/1924.

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Анотація:

When a package is shipped, the customer often requires the delivery to be made within a particular time window or by a deadline. However, meeting such time requirements is difficult, and delivery companies may not always know ahead of time which customers will need a delivery. In this thesis, we present models and solution approaches for two stochastic last-mile delivery problems in which customers have delivery time constraints and customer presence is known in advance only according to a probability distribution. Our solutions can help reduce the operational costs of delivery while improving customer service. The first problem is the probabilistic traveling salesman problem with time windows (PTSPTW). In the PTSPTW, customers have both a time window and a probability of needing a delivery on any given day. The objective is to find a pre-planned route with an expected minimum cost. We present computational results that characterize the PTSPTW solutions. We provide insights for practitioners on when solving the PTSPTW is beneficial compared to solving the deterministic analogue of the problem. The second problem is the same-day delivery problem (SDDP). The SDDP is a dynamic and stochastic pick-up and delivery problem. In the SDDP, customers make delivery requests throughout the day and vehicles are dispatched from a warehouse or brick and mortar store to serve the requests. Associated with each request is a request deadline or time window. In order to make better-informed decisions, our solution approach incorporates information about future requests into routing decisions by using a sample scenario planning approach with a consensus function. We also introduce an analytical result that identifies when it is beneficial for vehicles to wait at the depot. We present a wide range of computational experiments that demonstrate the value of our approaches.

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Veldman, Ronald. "Light electric freight vehicles in last-mile delivery." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122252.

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Анотація:

Thesis: M. Eng. in Supply Chain Management, Massachusetts Institute of Technology, Supply Chain Management Program, 2019
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 56-67).
In previous decades the postal sector experienced drastic changes. Liberalization and digitization resulted in a continuous mail market decline. Simultaneously the rise of Internet resulted in a booming e-commerce parcel delivery market. To cope with these ongoing market developments Postal Operators (POs) need to rigorously restructure their delivery networks frequently in order to reduce distribution cost. Moreover, POs are searching for synergy opportunities between the mail and parcel delivery network. A recent development in the postal sector is the use of light electric freight vehicles (LEFV) in urban and suburban areas as a sustainable and cheaper solution for last-mile delivery. Limited research has been performed regarding the impact of LEFV on distribution cost and network design. This thesis introduces a two echelon location routing model for POs to determine the optimal network configuration for mail and parcel delivery in order to minimize total distribution costs using LEFV in their vehicle portfolio. A mixed integer linear programming model (MILP) is proposed including a multi-depot VRP for the first tier and continuous approximation techniques (CA) for the second tier. Using a real-world application at the Dutch PO - PostNL - the impact of merging the mail and parcel network as well as the impact of introducing LEFV was established. Results suggest that adding LEFV to the vehicle fleet leads to a distribution cost saving of 3% in the separate mail and parcel network. LEFV are a worthy alternative to vans in dense city areas, due to their high speed on short distances and their maneuverability in city areas. While merging the parcel and mail network with the current vehicle fleet leads to a distribution cost reduction of 1%, the inclusion of LEFV in a merger scenario leads to a saving of 5%. Therefore, adding LEFV to the vehicle fleet enables POs to seize synergy opportunities between the distribution networks.
by Ronald Veldman.
M. Eng. in Supply Chain Management
M.Eng.inSupplyChainManagement Massachusetts Institute of Technology, Supply Chain Management Program

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Arouk, Sabah, and Murtadha Al-Shammari. "SMEs Last Mile Delivery Practices in Sweden : An explanatory study of the environmental aspects of last mile delivery for e-tailers." Thesis, Jönköping University, JTH, Logistik och verksamhetsledning, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-53946.

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Анотація:

Unquestionably the COVID-19 pandemic has helped to accelerate the transition from store-based to internet-based retailing. Consequently, this transaction has put more pressure and challenges on online retailers to provide the best variety of options to their customers regarding the last mile delivery while at the same time maintaining a sustainable way of delivery. This paper will examine the increased number of deliveries and their impact on the environment and how the e-tailers are responding to this situation. The problem will be tackled from the companies and the customers point of view. Purpose: the purpose of the study is to explore e-commerce last mile delivery practices in Sweden from an environmental perspective and examine how they meet consumer environmental requirements. Method: The researchers used a deductive approach to carry out the study. The empirical data was collected through quantitative survey and website observations. Findings: the study showed the current situation of the last mile delivery practices for the SMEs e-tailers in Sweden. After conducting the analysis, both strengths and weaknesses aspects of the current situation have been identified regarding the sustainability of those practices. The e-tailer promoted the Solitary C&C delivery option to the customer by providing it almost in all the companies and making it the cheapest option in comparison to the other delivery modes. The Solitary C&C is the eco-friendliest delivery mode in comparison to the home delivery. The velocity also played an important role in making the Solitary C&C more attractive because the velocity was almost the same for both and sometimes it is faster for C&C. On the other hand, the e-tailers failed to communicate the sustainability of their delivery modes to their customers. The majority did not show or marked the eco-friendly delivery option and as a result they did not take advantage of the willingness of the customer to contribute to more eco-friendly deliveries that had been studied in many papers. Finally, the price differentiation of the delivery fee was not efficient enough in the favor of the Solitary C&C compared to HD. When the delivery fee existed, the price was almost the same for both is so many cases and this is something the e-tailer should take into consideration. Implications: The paper contributed to the limited number of research on SMEs, especially in the last mile delivery field of study. The paper large scale quantitative study on SME firms in Sweden. The large scale consists of 50 SME e-tailers located in Sweden and ranked in the top 100 SMEs in the e-commerce market. The finding of the study will advise managers to design their last mile delivery practices more sustainably while maintaining their competitive advantages. Limitation: the study examined the Swedish e-tailers. Thus, it’s geographically limited to Sweden. Furthermore, the study only investigated the environmental aspects of the last mile delivery. Keywords: last mile delivery, e-commerce, Sustainability, Delivery mode, Velocity.

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Finnman, Peter. "Applying Revenue Management to the Last Mile Delivery Industry." Thesis, KTH, Industriell ekonomi och organisation (Inst.), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-246079.

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Анотація:

The understanding of what motivates a customer to pay more for a product or service has al-ways been a fundamental question in business. To the end of answering this question, revenue management is a business practice that revolves around using analytics to predict consumer behavior and willingness-to-pay. It has been a common practice within the commercial airline and hospitality industries for over 30 years, allowing adopters to reach their service capacity with increased proﬁt margins. In this thesis, we investigated the possibility to apply revenue management to the last mile delivery industry, an industry that provides the service of delivering goods from e-commerce companies to the consumer’s front door. To achieve this objective, a revenue management framework was conceived, detailing the interaction between the customer and a dynamic pricing model. The model itself was a product of a machine learning model, intended to segment the customers and predict the willingness-to-pay of each customer segment. The performance of this model was tested through a quantitative study on synthetic buyers, subject to parameters that inﬂuence their willingness-to-pay. It was observed that the model was able to distinguish between diﬀerent types of customers, yielding a pricing policy that increased proﬁts by 7.5% in comparison to ﬁxed price policies. It was concluded that several factors may impact the customer’s willingness-to-pay within the last mile delivery industry. Amongst these, the convenience that the service provides and the disparity between the price of the product and the price of the service were the most notable. However, the magnitude of considering these parameters was never determined. Finally, em-ploying dynamic pricing has the potential to increase the availability of the service, enabling a wider audience to aﬀord the service.
Vad som motiverar en kund att betala mer för en tjänst eller en produkt har länge varit ett centralt koncept inom aﬀärslivet. Intäktsoptimering är en aﬀärspraxis som strävar efter att besvara den frågan, genom att med analytiska verktyg mäta och förutse betalningsviljan hos kunden. Intäktsoptimering har länge varit framträdande inom ﬂyg- och hotellbranschen, där företag som anammat strategin har möjlighets att öka försäljningsvinsten. I detta examensarbete undersöker vi möjligheten att applicera intäktsoptimering på sista milen industrin, en industri som leverar köpta produkten hem till kunden. För att uppnå detta har vi tagit fram ett ramverk för informationsﬂöden inom intäktsoptimering som beskriver hur kunder interagerar med en dynamisk prissättningsmodell. Denna prissättningsmodell framställs genom maskininlärning med avsikt att segmentera kundbasen, för att sedan förutse betalningsviljan hos varje kundsegment. Modellens prestanda mättes genom en kvantitativ studie på syntetiska kunder som beskrivs av parametrar som påverkar betalningsviljan. Studien påvisade att modellen kunde skilja på betalningsviljan hos olika kunder och resulterade i en genomsnittlig vinstökning på 7.5% i jämförelse med statiska prissättningsmodeller. Det ﬁnns mänga olika faktorer som spelar in på kundens betalningsvilja inom sista milen industrin. Bekvämlighet och skillnader i priset på produkten som levereras och tjänsten att leverera produkten är två anmärkningsvärda faktorer. Hur stor inverkan faktorerna som beskrivs i detta examensarbete, har på betalningsviljan, förblev obesvarat. Slutligen uppmärksammades möjligheten att, med hjälp av dynamisk prissättning, öka tillgängligheten av tjänsten då ﬂera kunder kan ha råd med en prissättning som överväger deras betalningsvilja.

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Merchán, Dueñas Daniel Esteban. "Transshipment networks for last-mile delivery in congested urban areas." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/98637.

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Анотація:

Thesis: S.M., Massachusetts Institute of Technology, Engineering Systems Division, 2015.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 58-61).
This work develops a systemic approach for enabling transshipment operations in congested urban areas, based on two fundamental city logistics needs: efficient utilization of existing infrastructure and flexibility for logistics operators. Specifically, this research introduces the concept of urban transshipment networks (UTNs), a collection of strategically located urban logistics spaces, for efficient and flexible last-mile delivery operations in congested urban areas. By implementing the UTN framework, logistics operators can select the transshipment locations, vehicle types and operating schedules that best fit specific distribution strategies, and, simultaneously, comply with access restrictions and overcome some of the logistics complexity of dense urban zones. This concept is particularly relevant for retail dynamics observed in large metropolitan areas in the emerging world. A two-echelon location-routing model formulation is proposed to address the UTN design problem. The formulation combines a mixed-integer programing model with a closed-form routing cost approximation. The model was tested through a consumer goods distribution case study in Latin America. Results suggest that, given proper fleet type and capacity, UTNs can significantly improve delivery process efficiency in highly congested districts.
by Daniel Esteban Merchán Dueñas.
S.M.

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Filipsson, Hampus, and Victor Gustafsson. "An Extended Mental Accounting Model for Green Last Mile Delivery." Thesis, Blekinge Tekniska Högskola, Institutionen för industriell ekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-21952.

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Background. Several technologies are being developed to reduce emissions to make the transportsector greener. Extensive research has been conducted on the supply side of these technologies, but not as much on the demand side. Objectives. The purpose of the study is to analyze end consumers’ preferences for green last mile delivery. Electric roads are used to represent green technologies. The purpose is examined by investigating consumers’ preferences for the last mile delivery attributes delivery fee, delivery speed, delivery point and emission reduction using mental accounting. Methods. A choice-based conjoint analysis is conducted to gather data on 196 Swedish online consumers’ preferences. The choice experiment is conducted in two contexts to examine how these preferences differ between involvement in the product being transported. Data is analyzed with a Hierarchical Bayesian model. Results. The results show that consumers think emission reductions are more important than delivery fee when choosing last mile delivery. Consumers with low purchase frequency have higher preferences for emission reductions than consumers with higher purchase frequency. Also, females prefer higher rates of emission reductions relative to males when choosing last mile delivery for low involvement products, while there are no differences in the high involvement case. Preferences for the green attribute of last mile delivery do not vary between age and income groups, but preferences between these groups differ for other attributes. Conclusions. These findings indicate that consumers use an environmental responsibility account when choosing last mile delivery and that it has high importance relative to a money account but similar importance as the convenience and time accounts. Preferences are different when choosing transport for high and low involvement products and consumers with different characteristics. Implications. Firms offering last mile delivery services could use technologies to make their services greener and gain a competitive advantage since consumers prefer these green options.
Bakgrund. Flera teknologier som kan göra transportsektorn grönare genom att minska utsläpp ärunder utveckling. Tidigare forskning har främst fokuserat på utbudssidan av dessa teknologier och mindre fokus har legat på efterfrågesidan. Syfte. Denna studie har som syfte att analysera konsumenters preferenser för grön transport. Den inriktar sig specifikt på transporten från butiker eller lager till konsumenten. Elvägar används i denna studie som grön teknologi. Syftet undersöks genom att studera konsumenter preferenser för transportattributen, fraktpris, leveranstid, utlämningsplats och utsläppsminskning med hjälp av mental accounting teorin. Metod. En valbaserad conjoint-analys används för att samla in data på 196 svenska onlinekonsumenters preferenser. Valexperimentet utförs med två olika kontexter för att undersöka hur konsumenters preferenser skiljer sig beroende på hur involverade de är i produkten som ska transporteras. Data analyseras sedan med en hierarkisk bayes modell. Resultat. Resultatet visar att konsumenter anser att utsläppsminskning är viktigare än leveransprisvid val av transport. Konsumenter med låg köpfrekvens har högre preferenser för utsläppsminskning jämfört med konsumenter med högre köpfrekvens. Kvinnor har högre preferenser för utsläppsminskning jämfört med män. Denna skillnad gäller enbart vid val av transport för produkter med låg konsumentinvolvering. Det finns inga skillnader mellan olika konsumentgrupper som skapas beroendepå konsumenternas inkomst eller ålder för attributet utsläppsminskning. Grupperingar på dessa konsumentkaraktäristiker visar dock skillnader i preferenser för andra transportattribut. Slutsatser. Resultaten indikerar att konsumenter använder ett mentalt konto för miljövänliga köp vid val av transport. Detta konto är relativt viktigare än deras mentala konto för pengar och är lika viktigt som de mentala kontona för tid och bekvämlighet. Konsumenters preferenser skiljer sig beroende på hur involverade de är i produkten som ska transporteras. Preferenserna skiljer sig även mellan olika konsumentgrupper. Implikationer. Företag som erbjuder frakt kan använda teknologier för att göra deras service grönare och därigenom få konkurrensfördelar eftersom konsumenter har preferenser för gröna alternativ.

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Книги з теми "Crowdsourced last mile delivery"

Rabie, Tamer Samah, Samira Nikaein Towfighian, Cari Clark, and Melani Camrnett. The Last Mile to Quality Service Delivery in Jordan. Washington, DC: World Bank, 2017. http://dx.doi.org/10.1596/978-1-4648-1069-5.

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AL-Hamoudy, A. FPT Last Mile: Mastering Delivery in Courier Vol I. Staten House, 2024.

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Accountability, the Last Mile on the Route to Quality Service Delivery. World Bank, Washington, DC, 2016. http://dx.doi.org/10.1596/25407.

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Hong, Seo Yeon, Xiaonan Cao, and Mupuwaliywa Mupuwaliywa. Zambia: Can Financial Incentives Improve the Last-Mile Delivery of Textbooks? World Bank, Washington, DC, 2020. http://dx.doi.org/10.1596/34216.

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Delivery of climate services to last mile users: challenges and opportunities for scaling. FAO; Alliance of Bioversity International/CIAT; Ministry of Natural Resources and Environment (MONRE), Lao People's Democratic Republic; Ministry of Agriculture and Forestry (MAF), Lao People's Democratic Republic;, 2022. http://dx.doi.org/10.4060/cc1929en.

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Zambia: Can Financial Incentives and Better Communication Improve the Last-Mile Delivery of Textbooks? World Bank, Washington, DC, 2020. http://dx.doi.org/10.1596/33842.

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Rabie, Tamer, Samira Nikaein Towfighian, Cari Clark, and Melani Camrnett. Last Mile to Quality Service Delivery in Jordan: Evidence from Jordanian Schools and Primary Healhcare Facilities. World Bank Publications, 2017.

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Hong, Seo Yeon, Xiaonan Cao, and Mupuwaliywa Mupuwaliywa. Impact of Financial Incentives and the Role of Information and Communication in Last-Mile Delivery of Textbooks in Zambia. World Bank, Washington, DC, 2020. http://dx.doi.org/10.1596/1813-9450-9305.

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Частини книг з теми "Crowdsourced last mile delivery"

Tan, Kok Choon. "An Innovation in Last-Mile Delivery." In Management for Professionals, 45–57. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-673-7_4.

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Trapp, Markus, Sandra Luttermann, Daniel Rippel, Herbert Kotzab, and Michael Freitag. "Modeling Individualized Sustainable Last Mile Logistics." In Dynamics in Logistics, 277–93. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88662-2_13.

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AbstractThe online grocery trade has received an additional boost from the Covid pandemic. The delivery of such purchases places particular demands on last mile logistics since consumers demand more and more individualized delivery options, e.g., regarding the delivery arrival or the type of transport. At the same time, many consumers are becoming more environmentally conscious, so there is a need to examine further how this particular consumer behavior affects the sustainability of deliveries. This paper develops and presents a simulation model, which considers grocery delivery under different framework conditions. The examined scenarios show that a change in consumer behavior directly impacts last mile logistics systems, mainly by increasing the total number of orders and a slight reduction in emissions through improved vehicle utilization. Nevertheless, the results show that without sufficiently high utilization of delivery vehicles, shopping trips by private car may cause fewer emissions.

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Hwarng, Brian, and Motoka Mouri. "TA-Q-BIN, The Last-Mile Delivery." In Management for Professionals, 23–44. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-673-7_3.

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Jana, Saswata, Giuseppe F. Italiano, Manas Jyoti Kashyop, Athanasios L. Konstantinidis, Evangelos Kosinas, and Partha Sarathi Mandal. "Online Drone Scheduling for Last-Mile Delivery." In Structural Information and Communication Complexity, 488–93. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-60603-8_27.

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Macioszek, Elżbieta. "First and Last Mile Delivery – Problems and Issues." In Advanced Solutions of Transport Systems for Growing Mobility, 147–54. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62316-0_12.

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Skoufi, Evgenia, Evangelia Filiopoulou, Angelos Skoufis, and Christos Michalakelis. "Last Mile Delivery by Drone: a Technoeconomic Approach." In Economics of Grids, Clouds, Systems, and Services, 27–35. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92916-9_3.

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Simić, Dragan, José Luis Calvo-Rolle, José R. Villar, Vladimir Ilin, Svetislav D. Simić, and Svetlana Simić. "An Approach of Optimisation in Last Mile Delivery." In 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 311–20. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-42536-3_30.

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Chen, Cheng, and Emrah Demir. "Drones and Delivery Robots: Models and Applications to Last Mile Delivery." In The Palgrave Handbook of Operations Research, 859–82. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96935-6_27.

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Schaudt, Stefan, and Uwe Clausen. "Exact Approach for Last Mile Delivery with Autonomous Robots." In Operations Research Proceedings, 405–11. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48439-2_49.

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Bajwa, Sukhreet. "Achieving Last Mile Delivery: Overcoming the Challenges in Manipur." In Development and Disaster Management, 229–37. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8485-0_16.

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Тези доповідей конференцій з теми "Crowdsourced last mile delivery"

Sujatha, M., Rajesh Kambattan Kovarasan, K. Sudha, Nilamadhab Mishra, G. Thiyagarajan, and C. Srinivasan. "Smart Last-Mile Delivery with IoT-Connected Robot Vehicles." In 2024 10th International Conference on Smart Computing and Communication (ICSCC), 417–22. IEEE, 2024. http://dx.doi.org/10.1109/icscc62041.2024.10690633.

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Hanaa, Bouhia, and Jamal Benhra. "Mixed Electric Vehicles and UAVs for Last-Mile Delivery Under Ecological Objective." In 2024 Sixth International Conference on Intelligent Computing in Data Sciences (ICDS), 1–8. IEEE, 2024. http://dx.doi.org/10.1109/icds62089.2024.10756461.

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Zhang, Wennan, Chenglin Yu, Ying Yu, Li Yin, and Ray Y. Zhong. "Deep Reinforcement Learning Enabled Model for Green Last-mile Delivery in MiC Construction." In 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE), 3011–16. IEEE, 2024. http://dx.doi.org/10.1109/case59546.2024.10711316.

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Gharsallaoui, Oussema, Damien Nicolas, Marie-Laure Watrinet, and Ion Turcanu. "A Co-Simulation Approach of Blockchain Connected Last-Mile Delivery Using Autonomous Robots." In 2024 6th Conference on Blockchain Research & Applications for Innovative Networks and Services (BRAINS), 1–3. IEEE, 2024. http://dx.doi.org/10.1109/brains63024.2024.10732466.

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Lopez, Dylan Josh Domingo, Dexter James M. Cuaresma, Gene Justine P. Rosales, and Yolanda D. Austria. "Data Analytics Platform with Last-Mile Delivery Decision Support for PWDs Using Metaheuristics Optimization." In 2024 International Conference on Data Science and Its Applications (ICoDSA), 213–18. IEEE, 2024. http://dx.doi.org/10.1109/icodsa62899.2024.10651678.

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Chen, P., and S. M. Chankov. "Crowdsourced delivery for last-mile distribution: An agent-based modelling and simulation approach." In 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2017. http://dx.doi.org/10.1109/ieem.2017.8290097.

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Johnson, Dylan, and Emmanouil Chaniotakis. "Innovative last mile delivery concepts: Evaluating last mile delivery using a traffic simulator." In 2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). IEEE, 2021. http://dx.doi.org/10.1109/mt-its49943.2021.9529279.

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Xiaoyi Fan, Jiangchuan Liu, Zhi Wang, and Yong Jiang. "Navigating the last mile with crowdsourced driving information." In IEEE INFOCOM 2016 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE, 2016. http://dx.doi.org/10.1109/infcomw.2016.7562099.

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Lau, Hoong Chuin. "Last-mile delivery in smart cities." In the Fifth Symposium. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2676585.2676588.

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Rindrasari, Rahajeng, and Isti Surjandari. "Efficiency Analysis of Last Mile Delivery Station." In APCORISE 2021: 4th Asia Pacific Conference on Research in Industrial and Systems Engineering 2021. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3468013.3468344.

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Звіти організацій з теми "Crowdsourced last mile delivery"

Iyer, Ananth V., Konstantina Gkritza, Steven R. Dunlop, Dutt J. Thakkar, Raul Candanedo, Srinath Jayan, Pooja Gupta, et al. Last Mile Delivery and Route Planning for Freight. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317315.

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This report analyzes anticipated list mile challenges in Indiana by using a scenario-based approach to develop forecasts of GDP growth and thus freight growth across industry clusters in Indiana counties; potential congestion implied by this growth; and a proactive plan to add capacity to alleviate the congestion. We use a quantitative approach to aggregate ramp level flows, industry cluster locations, county layout, and economic activity to develop our recommendations. We develop forecasts through the year 2050 based on long-term planning approaches used by other states (California, Ohio, and Utah). We use data from global databases that consider different possible geo-political scenarios and regulatory choices to scale it down to county-level impact. At the same time, we track industry cluster locations within each county, ramps from interstates, and distances to travel within the counties to reach freight destinations. The result is a report that combines macro trends with micro detail to develop potential capacity bottlenecks.

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Muralidharan, Karthik, Paul Niehaus, Sandip Sukhtankar, and Jeffrey Weaver. Improving Last-Mile Service Delivery using Phone-Based Monitoring. Cambridge, MA: National Bureau of Economic Research, November 2018. http://dx.doi.org/10.3386/w25298.

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Farley, Toni, and Will Northrop. Connected Energy Management System to Enable Battery Electric Last-Mile Delivery Vehicles. Office of Scientific and Technical Information (OSTI), August 2022. http://dx.doi.org/10.2172/1844322.

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Banerjee, Abhijit, Rema Hanna, Jordan Kyle, Benjamin Olken, and Sudarno Sumarto. Contracting out the Last-Mile of Service Delivery: Subsidized Food Distribution in Indonesia. Cambridge, MA: National Bureau of Economic Research, December 2015. http://dx.doi.org/10.3386/w21837.

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She, Ruifeng, and Yanfeng Ouyang. Analysis of Drone-based Last-mile Delivery Systems under Aerial Congestion: A Continuum Approximation Approach. Illinois Center for Transportation, August 2023. http://dx.doi.org/10.36501/0197-9191/23-014.

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This paper presents a systematic analysis and design framework for a spectrum of last-mile delivery systems that leverage unmanned aerial vehicles (UAVs). Four distinct modes are considered: (1) direct drone deliveries from a fixed depot; (2) drone deliveries from parked trucks that carry bulk parcels to customer neighborhoods; (3) drone deliveries from nonstopping trucks that tour customer neighborhoods; and (4) as a benchmark, traditional truck-based home deliveries. We present a new continuum-approximation approach that is used for analysis of both truck routing and aerial-UAV traffic. We compared the operational cost and efficiency of different delivery schemes to reveal how a certain scheme is the most efficient under various scenarios. We demonstrate the applicability of our model on expansive real-world roadway networks and further conduct analysis on grid networks, yielding key analytical insights. The drone-based delivery is demonstrated to be superior to conventional truck-only delivery, suggesting a significant potential for socioeconomic benefit. It is observed that when servicing a relatively low demand over a small area, dispatching drones directly from the distribution facility is the most efficient method. As the demand grows or spans a wider area, collaborative strategies are preferred, as they better cope with certain aspects, such as the long line-haul cost or the ramping aerial congestion, by striking a balance between efficiency and flexibility.

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Scherer, Sebastian, and Constantine Samaras. Drones, Delivery Robots, Driverless Cars, and Intelligent Curbs for Increasing Energy Productivity of First/Last Mile Goods Movement. Office of Scientific and Technical Information (OSTI), April 2023. http://dx.doi.org/10.2172/1975829.

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Choubey, Aishwarya, Annewies Hilberink, Biju Mushahary, Christina Nyhus Dhillon, and Saroj Mohanta. Healthy Line Shops for Last-Mile Delivery: improving the supply chain to deliver more nutritious food options for tea plantation workers of Assam. Global Alliance for Improved Nutrition (GAIN), January 2023. http://dx.doi.org/10.36072/wp.33.

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Kramer, Berber, Carol Waweru, Lilian Waithaka, Jean Eyase, Joseph Chegeh, Benjamin Kivuva, and Francesco Cecchi. A new model for inclusive seed delivery: Lessons from a pilot study in Kenya: Leveraging champion farmers’ entrepreneurial know-how to reach the last mile. Washington, DC: International Food Policy Research Institute, 2021. http://dx.doi.org/10.2499/p15738coll2.134491.

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Hartle, Jennifer C., Ossama (Sam) A. Elrahman, Cara Wang, Daniel A. Rodriguez, Yue Ding, and Matt McGahan. Assessing Public Health Benefits of Replacing Freight Trucks with Cargo Cycles in Last Leg Delivery Trips in Urban Centers. Mineta Transportation Institute, June 2022. http://dx.doi.org/10.31979/mti.2022.1952.

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Increased urbanization, population growth, and demand for time-sensitive deliveries means increased freight movement in cities, which contributes to emissions, noise, and safety concerns. One innovative mode gaining widespread attention for urban deliveries is cargo cycles—bicycles adapted for freight delivery. Despite the recognized potential and possible success of transporting at least 25% of freight via cycle, research remains limited. This research investigates the potential of cargo cycle delivery for last mile freight in Oakland, California, with a focus on the West Oakland neighborhood. The data collection included interviews, focus groups, vehicle field observation and counts, and traffic simulation modeling. The traffic simulation examined scenarios where businesses converted different percentages of current deliveries to cargo cycles using a transfer hub as the starting point for their cargo cycle delivery. The best-case scenario—where the maximum percentage of deliveries were made with cargo cycle instead of motorized vehicles—resulted in reductions of 2600 vehicle miles traveled (VMT) per day. In that case scenario, the vehicle miles traveled (VMT) reduction is equivalent to a reduction in emissions of PM2.5, PM10, NOx, and reactive organic gas (ROG) of taking about 1000 Class 4 box trucks off the roads of West Oakland per day. In the worst-case scenario, with a significantly smaller percentage of motorized package deliveries converted to cargo cycles, there is a reduction of 160 VMT, equivalent to the removal of approximately 80 Class 4 box trucks off the roads of West Oakland per day. This potential reduction in air pollution and traffic congestion, as well as job creation, would benefit West Oakland residents.

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