Recent challenges in Routing and Inventory Routing: E‐commerce and last‐mile delivery

Archetti, Claudia; Bertazzi, Luca

doi:10.1002/net.21995

Cited by 65 publications

(22 citation statements)

References 93 publications

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“…Cattaruzza et al [22] surveyed the vehicle routing problems found in cities for good distribution and identified the important challenges related to routing in urban goods distribution as well. With respect specifically to vehicle routing related to e-commerce delivery, the work from Archetti and Bertazzi [23] focuses on routing and inventory routing variants that arise as online orders require fast delivery, leading to characteristics that may differ from classical routing problems. Among additional relevant related works, Moons et al [24] studied the joint problem of order picking and routing vehicles with time windows and release dates.…”

Section: Literature Reviewmentioning

confidence: 99%

An Optimization-Based Approach to Evaluate the Operational and Environmental Impacts of Pick-Up Points on E-Commerce Urban Last-Mile Distribution: A Case Study in São Paulo, Brazil

Masteguim

Cunha

2022

Sustainability

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Online sales have steadily increased in recent years. Unlike the traditional retail shopping model, e-commerce must deliver custom orders to highly dispersed locations. Consequently, negative effects have been observed in large urban and densely populated areas, such as congestion and pollution. Pick-up points (PPs) are fast-growing solutions that provide parcel delivery and picking services at diverse locations throughout major city centers. This paper describes an optimization-based approach aimed to investigate the conditions in which a network of pick-up points can be more efficient than home deliveries from operational and environmental points of view in urban last-mile distribution. Differently from the related literature, in which analytical models were employed, we use optimization and algorithms to determine the economic and environmental benefits of packages destined for pick-up points instead of home deliveries. The framework was applied to the city of São Paulo, in Brazil. Several scenarios were evaluated, comprising different densities and percentages of deliveries destined for PPs. The results show that PPs can be a promising alternative for reducing the environmental externalities, as fleet and vehicle mileage can be reduced by more than 50%.

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Section: Literature Reviewmentioning

confidence: 99%

An Optimization-Based Approach to Evaluate the Operational and Environmental Impacts of Pick-Up Points on E-Commerce Urban Last-Mile Distribution: A Case Study in São Paulo, Brazil

Masteguim

Cunha

2022

Sustainability

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“…Here, many optimization models have been developed following the general vehicle routing problems framework or any of its variants [44,45]. These models may be adjusted and applied to the urban characteristics as in the case of He et al [17] and Archetti and Bertazzi [18]. Additionally, other economics aspects have been included in transportation-related decision-making processes such as the travel time or the cargo efficiency, i.e., the ability to fully load the vehicles.…”

Section: Economic Criterionmentioning

confidence: 99%

Selecting Freight Transportation Modes in Last-Mile Urban Distribution in Pamplona (Spain): An Option for Drone Delivery in Smart Cities

2021

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Urban distribution in medium-sized cities faces a major challenge, mainly when deliveries are difficult in the city center due to: an increase of e-commerce, weak public transportation system, and the promotion of urban sustainability plans. As a result, private cars, public transportation, and freight transportation compete for the same space. This paper analyses the current state for freight logistics in the city center of Pamplona (Spain) and proposes alternative transportation routes and transportation modes in the last-mile city center distribution according to different criteria evaluated by residents. An analytic hierarchy process (AHP) was developed. A number of alternatives have been assessed considering routes and transportation modes: the shortest route criterion and avoiding some city center area policies are combined with traditional van-based, bike, and aerial (drone) distribution protocols for delivering parcels and bar/restaurant supplies. These alternatives have been evaluated within a multicriteria framework in which economic, environmental, and social objectives are considered at the same time. The point in this multicriteria framework is that the criteria/alternative AHP weights and priorities have been set according to a survey deployed in the city of Pamplona (Navarre, Spain). The survey and AHP results show the preference for the use of drone or bike distribution in city center in order to reduce social and environmental issues.

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“…The last-mile is the last journey of a good to be delivered to the end customer. It has been given a greater focus on logistics strategies because it strongly influences customer satisfaction, time, delivery cost, and ease of use (Archetti and Bertazzi, 2021;Vakulenko et al, 2019). Due to the increasing number of freight vehicles in urban areas, last-mile logistics operations have a considerable impact on three different aspects of sustainability: economic (efficiency and delivery costs), social (congestion and health problems) and environmental (CO 2 emissions and noise pollution) (Janjevic et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

A new Hyper-heuristic based on Adaptive Simulated Annealing and Reinforcement Learning for the Capacitated Electric Vehicle Routing Problem

Rodríguez-Esparza¹,

Masegosa²,

Oliva³

et al. 2022

Preprint

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Electric vehicles (EVs) have been adopted in urban areas to reduce environmental pollution and global warming as a result of the increasing number of freight vehicles. However, there are still deficiencies in routing the trajectories of last-mile logistics that continue to impact social and economic sustainability. For that reason, in this paper, a hyper-heuristic (HH) approach called Hyper-heuristic Adaptive Simulated Annealing with Reinforcement Learning (HHASA RL ) is proposed. It is composed of a multi-armed bandit method and the self-adaptive Simulated Annealing (SA) metaheuristic algorithm for solving the problem called Capacitated Electric Vehicle Routing Problem (CEVRP). Due to the limited number of charging stations and the travel range of EVs, the EVs must require battery recharging moments in advance and reduce travel times and costs. The HH implemented improves multiple minimum best-known solutions and obtains the best mean values for some high-dimensional instances for the proposed benchmark for the IEEE WCCI2020 competition.

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Recent challenges in Routing and Inventory Routing: E‐commerce and last‐mile delivery

Cited by 65 publications

References 93 publications

An Optimization-Based Approach to Evaluate the Operational and Environmental Impacts of Pick-Up Points on E-Commerce Urban Last-Mile Distribution: A Case Study in São Paulo, Brazil

An Optimization-Based Approach to Evaluate the Operational and Environmental Impacts of Pick-Up Points on E-Commerce Urban Last-Mile Distribution: A Case Study in São Paulo, Brazil

Selecting Freight Transportation Modes in Last-Mile Urban Distribution in Pamplona (Spain): An Option for Drone Delivery in Smart Cities

A new Hyper-heuristic based on Adaptive Simulated Annealing and Reinforcement Learning for the Capacitated Electric Vehicle Routing Problem

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